Transcript
Page 1: Manual Control Station

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Control Station User Guide Copyright 2001 by Douglas J. Cooper All Rights

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lAnalysis, Tuning & Trainin

Control Station Software For Process Contro

g

Control Station

Software For Process Control Analysis, Tuning & Training

ControlStationControlStation

Software For Process Control Analysis, Tuning & Training

User GuideControl Station 3.5 for Windows

Doug Cooper

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Control Station User Guide Copyright 2002 by Douglas J. Cooper All Rights

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3. Sobrede controle da estaçãoEstação de Controleé o software usado por praticantes de académicos e industriais em todo o mundo para:

- treinamento prático de controle de processo- simulação sistema de controle- análise de circuito e ajuste- o desempenho ea capacidade estuda

Estação de Controle é um ponto-e-clicar ambiente compatível com Windows 95, 98, Me, NT, 2000 e a maioria das redes de computadores. . Este pacote de software poderosa é visualmente atraente, fácil de usar e popular entre os estudantes e profissionais tanto

Estação de Controle é dividido em três de casos,Estudo de processos de costume ferramentas de design emódulos:.

módulo de estudos de caso Ofornece experiência no mundo real em métodos modernos e práticas de controle de processo. estudos de casos Os disponíveis para estudo incluem controle de nível de um tanque, controle de temperatura de um trocador de calor, controle de concentração de um controle do reator e pureza de uma coluna de destilação. Os controladores básicos disponíveis incluem controladores P-Only, PI, PD e PID. Estratégias avançadas incluem cascata, alimentar para a frente, a dissociação multivariada, modelo preditivo (Smith preditor), controle de matriz dinâmica, e discreta amostrados controle de dados.

módulo de processo é Opersonalizadoum ambiente orientado bloco que permite que você construa um processo e arquitetura controlador com suas próprias especificações para uma ampla gama de análises de controle personalizados. Você pode investigar as vantagens e desvantagens de diferentes arquiteturas de controle, sensibilidades afinações, capacidades de desempenho de loop, e uma série de outras questões importantes para o praticante.

módulo de Ferramentas de projeto Oé usado para ajustar modelos dinâmicos lineares para processar dados e para calcular Regulação do controlador PID valores. Os modelos de ferramentas de design também pode ser usado para a construção de estratégias de controle avançado que utilizam modelos dos processos internos para a arquitetura de controlador. Como os dados podem ser importados de processos operacionais reais, Ferramentas de projeto pode resolver seus problemas desafiadores para o projeto do controlador, análise e sintonia.

A Estação de Controle Módulos

módulo de Estudos de Casos Ofoi desenvolvido especificamente para o treinamento nos métodos e práticas de controle de processo automático modernas . Estudos de Caso faz isso, dando-lhe experiência prática através de um conjunto de simulações de controle interessantes e industrialmente relevantes. Assim, você "aprender fazendo" como você lidar com cada desafio do mundo real. As simulações de animado

processos,no ecrã a cores, gráfico, são fáceis de usar e visualmente atraente. A lista de simulações disponíveis para exploração e estudo incluem:

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tanques de gravidade drenadotanque bombeado térmicos de troca Jacketed reactor agitado FurnaceMulti-tanqueprocesso decoluna por cada

destilação,processo, você pode manipular as variáveis de processo em malha aberta para obter passo, pulso, senoidal, rampa ou PRBS (sequência binária pseudo-aleatória) de dados de teste. Dados do processo podem ser registrados como terrenos de impressora ou arquivos do disco para estudos de modelagem de processos e de regulação do controlador. módulo de Ferramentas de projeto Odiscutido mais tarde é bem adequado para esta tarefa de modelagem e sintonia.

Os controladores disponíveis para os de caso e estudos de processos de costume módulospermitir a exploração e estudo de conceitos cada vez mais desafiadoras de forma ordenada. Conceitos iniciais incluem estudar comportamentos dinâmicos básicos, tais como ganho de processo, constante de tempo e tempo morto. Conceitos intermediários incluem os recursos de ajuste e desempenho de toda a gama de controladores PID. Conceitos avançados incluem um número de algoritmos convencionais e modelo avançados baseados

incluindo: P-Only,PI, PD e PID PID Cascade de avanço decontroleControle Avançado com feedback PID guarniçãoMultivariable dissociação ControlePreditivo Control (Smith Predictor, DMC) Data Control Discrete Sampled

A de processos de costume móduloé um ambiente orientado bloco que lhe permite implementar um processo e arquitetura controlador para sua própria especificação. As simulações permitem uma ampla gama de investigações de controle personalizados para circuito único e processos múltiplos laços. Modelos de função de transferência são introduzidas para descrever a saída do controlador de processo medidadinâmica de variáveis, a perturbação à dinâmica das variáveis de processo medido de uma perturbação processo selecionado, e para simulações de múltiplos laços, para descrever o comportamento de interação malha de controle. Os modelos de função de transferência pode ser linear ou não-linear e superamortecido ou subamortecido em forma.

Tais processos personalizados permitem uma série de dinâmicas de processos e estudos de controle. Por exemplo, você pode explorar o que forma o modelo que melhor descreve o comportamento de sua planta; investigar diferentes arquiteturas de controladores, valores de ajuste e modos de controle em "what if" cenários; estudar como os impactos da planta-modelo de incompatibilidade fechado de malhas em arquiteturas baseadas em modelos; isolar e explorar o impacto do ruído na variável medida sobre o desempenho circuito fechado; e uma série de outras análises de simulação e controle.

Tudo que você precisa fazer é inserir os modelos de processos apropriados para a sua aplicação. Os modelos são introduzidos com caixas de diálogo do usuário amigável. Ferramentas de projeto é bem adequado para os modelos de montagem para processar dados de sua planta ou laboratório para criar

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uma simulação de processos de costume.

módulo de Design Tools oferece ferramentas para projeto de controladores e análise. Uma ferramenta se encaixa automaticamente modelos dinâmicos para processar dados. Ferramentas de projeto pode importar os dados do Estação de caso e estudos de processos de costume módulo de Controle, dados de outros pacotes de software, e talvez mais importante, dados de processos reais no laboratório ou planta.

Para ajustar modelos para ferramentas de design dados, requer que os dados ser colunas de texto (ASCII) com entradas de cada coluna separados por tabulações, vírgulas ou espaços. Cada linha em uma coluna deve ter um número; não pode haver entradas em branco. Então, com apenas alguns cliques do mouse, você marcar a coluna dados contém os

dedados variáveis manipuladas, que contém o processo de medição de dados variáveis, e que contém os dados de data e hora. Os modelos lineares disponíveis biblioteca de ferramentas de design nado modelo incluem:

Primeira Ordem Além disso Dead TimeSegunda Ordem Além disso Dead Time superamortecidoSegunda Ordem Além disso Dead Time superamortecido com chumbo Tempo

Primeira Ordem Além disso Dead Time IntegratorSegunda Ordem Além disso Dead Time Integrator

Segunda Ordem Além disso Dead Time subamortecido

Ferramentas de projeto se encaixa um modelo de dados, pesquisando sistematicamente para os parâmetros do modelo que minimizam a soma dos quadrados dos erros (SSE) entre a resposta contida nos dados medidos e a resposta prevista pelo modelo ao utilizar os dados de processo reais manipuladas variáveis contidas no arquivo. Para que você possa obter um ajuste significativo, é essencial reconhecer estas Requisitos para

limitações: uma bem sucedida Modelo Fit

processo deve ser oem estado estacionário antes da coleta de dados dinâmica começa,∙ o primeiro ponto de dados no arquivo de must igual este inicial valor de estado estacionário.

Se essas condições não forem cumpridas, o modelo de ajuste será incorreta e de pouco valor para o ajuste, modelo baseado projetos controlador ou estudos de simulação.

Em instalações de controlo modernos, os modelos dinâmicos cabem por ferramentas de design pode ser usado diretamente em avançado arquiteturas de controlador que vão desde uma simples Smith preditor-se através do controle preditivo completo (MPC) algoritmos. Ferramentas de projeto também pode ser usado para projetar elementos avançados para a alimentação animal. Para projetos de alimentação em avanço, é a variável de perturbação que deverão ser reforçados, pulsada ou de outra forma perturbado. Estes dados de perturbação, em seguida, torna-se a variável manipulada quando regressão do modelo dinâmico variável de perturbação-to-medidos processo.

A segunda característica de ferramentas de design é a ferramenta de ajuste do controlador. Utilizando os resultados de um bem sucedido modelo de ajuste FOPDT, valores de ajuste para P-Only, controladores PI e PID são computados. A biblioteca de correlações de ajuste populares incluem controle interno modelo (IMC) e integrante do tempo- erro absoluto ponderada (TIAE).

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4. Quick Start - Estudos de Casos & Design FerramentasOs próximos dois capítulos fornecem uma visita guiada à Estação de Controle e muitas das suas características. Se você trabalhar com estes capítulos, você será qualificado para o básico de software. Não tenha medo de clicar com o mouse e ver o que acontece. Essa é a única maneira que você pode se tornar um verdadeiro usuário de energia Estação de Controle.

Para começar, lançar Estação de Controle do Windows e da tela principal mostrada abaixo deve aparecer. Neste capítulo vamos nos concentrar na gravidade drenado estudo tanques caso. Siga as instruções abaixo para iniciar o processo de tanques de gravidade drenado-.

Para iniciar a gravidade drenado estudo tanques caso:

- Clique em Módulos na lista do menu, em seguida, estudos de

caso em seguida ,Tanques Gravidade ou

- Use botão direito do mouse, em seguida, estudos de caso e, em seguida Tanques Gravidade uma vez que

secoa simulação começou, note que o ecrã é composto por um processo gráfico, movendo-se gráficos de tiras, uma lista de menu e uma barra de ferramentas. O gráfico de tira superior controla a variável de medição do processo, que, para os tanques de gravidade drenado é o nível de líquido no reservatório inferior. O gráfico tira inferior controla a saída do controlador, que neste caso manipula a taxa de fluxo de entrada que alimenta a parte superior do tanque.

Mova a seta do mouse sobre os ícones na barra de ferramentas e ler as diferentes funções. Há ícones para lidar com as funções de relógio de simulação, re-dimensionar os gráficos de tiras, visualização e impressão parcelas, poupança e dados processo de edição, parar e iniciar a simulação, a navegar para outros módulos Estação de controle, e obter acesso ao Guru Controle® Ajuda do programa.

O gráfico processo também tem recursos que podem ser ativados com um clique do mouse. Estes incluem itens que têm uma aparência botão ou incluem uma caixa de entrada branco. Os tanques de gravidade drenado gráfico na próxima página mostra caixas de entrada de brancos para a saída do controlador e de perturbação do fluxo bombeado, e um botão de controlador de nível (o círculo com a LC em que atribui ao tanque inferior).

A maioria de tudo que você precisa fazer pode ser acessada duas ou três maneiras

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1) com um clique em um ícone ou área branca do gráfico, 2) o uma lista de menus, diferentes:3),utilizando o botão direito do mouse

experimentar todos os três e determinar o método mais confortável para . você

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T Para iniciar e parar a gravação de dados para o arquivo:- Click File on the menu list, and then Save Data to File

or.....

- Click the Save Data icon on the tool bar

Once data saving has begun:

-The Save Data icon on the tool bar is replaced by a Stop Saving Data icon

The first step in designing a controller is generating and collecting dynamic data. Shown above are two ways to begin saving process data to file. The same commands used to start saving data are also used to stop data collection after the experiment is completed. Go ahead and start saving data to a file called “demo.dat.” Use the default Storage Rate and Zero Clock options when prompted.

To change a variable such as controller output:

- Click on Tasks on the menu list, and then Change Controller Output

or.....

- Click or double click the white input box on the process graphic

or.....

- Use the right mouse button, and choose Change Controller Output

Once data collection has begun (note the file name in the lower right of the screen above), change the controller output to force process dynamics. Use any of the three methods mentioned above to change the controller output value from 70% up to 75%, then down to 65%, and finally back to 70%.

Click the Stop Saving Data icon when the experiment is complete.

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To fit a model to data and to tune a controller, you must Navigate to Design Tools:

- Click File on the menu list, and then Navigate, and then Design Tools

or.....

- Click the Navigate icon on the tool bar, and choose Design Tools

To pause the simulation before navigating to Design Tools:

- Click the Pause icon on the tool bar

With dynamic process data stored in file “demo.dat,” the next steps in controller design are to fit a FOPDT (first order plus dead time) model to the data and then use the model parameters in a correlation to compute initial controller tuning values.

As shown above, navigate to Design Tools to perform this modeling and tuning task. To help the model fitting proceed quickly, you may want to first Pause the simulation (click the Pause icon on the tool bar, or click Run and choose Pause from the menu list).

When you gain more experience, you may choose to perform several process experiments and collect the results in different files before navigating to Design Tools.

To read a file of process data into Design Tools:

- Click File on the menu list, and choose Open Data File

or.....

- Click the Open Data File icon on the tool bar

The Design Tools main screen, shown above, can be launched from a Case Study or Custom Process simulation using Navigate. By navigating to Design Tools directly from Case Studies or Custom Process, the state of the process simulation remains unchanged during the modeling and tuning task.

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Before fitting a model, the Time, Manipulated Variable and Process Variable data columns must be labeled

To do this click on one of the labels, drag it to the proper column and release the mouse key

The data in the file can also be viewed and edited from this screen using the Edit Data button

After opening a file, the data is presented for labeling as shown above. Three columns of data must be labeled for a proper fit. Click on a column label and drag and drop it at the top of the proper column. (Note: the manipulated variable is typically the controller output data, but may, for example, be the disturbance variable data if a feed forward element is being constructed).

Design Tools can also be run in a stand-alone mode from Control Station’s main screen. The stand- alone mode of Design Tools is useful when modeling data generated by a process in the lab or plant, or even by another computer program. The data columns can be processed in any order – they need not be presented in the order as shown below.

If you are creating a data file outside of Control Station, the file must be in text (ASCII) format and include at least three columns of data. Entries for each column should be separated by tabs, commas or spaces. Every line in a column must have a number; there can be no blank entries.

To obtain a meaningful fit, it is essential to recognize that:

the process m ust be at steady state before data collection begins, the first data point in the file m u s t equal this initial steady state value.

If these conditions are not met, the model fit will not describe the dynamics of the process and thus of little value for tuning, model based controller designs or simulation studies.

For simple PID controller designs from Control Station’s Case Studies and Custom Process data files, the columns are already properly labeled as shown above. Thus, simply click the OK button to proceed to the model fit options.

For advanced Case Studies designs, including cascade, feed forward or multivariable architectures, care must be taken to properly label the columns of data. If the data file being processed was created by Control Station, you can verify the proper data column labels by editing the data file using the Edit Data button and reading the information contained at the top of the file.

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To choose a dynamic model from the library:

- Click Tasks on the menu list, and then Select Model, and choose a model from the model library

or.....

- Click the Select Model icon on the tool bar, and choose a model from the model library

With the data columns properly labeled, choose the FOPDT model from the library of linear dynamic models. For convenience, the Laplace and time domain forms of each model are displayed at the bottom of the screen.

To start model fitting:

- Click Tasks on the menu list, and choose Start Fitting

or.....

- Click the Start Fitting icon on the tool bar

Begin fitting the chosen model by clicking the Start Fitting icon on the tool bar. A counter will display the sum of squared errors (SSE), which should decrease if the fit is proceeding properly. If it is not, you may stop the routine by clicking the Stop Fitting icon (which replaces the Start Fitting icon during the fitting operation).

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If the model fit is successful, a plot will be displayed

Your judgment is required to determine the goodness of this fit

For a good fit, the model (in yellow) should overlay the process data (in white)

A poor fit is of little value for modeling and tuning tasks

If a model converges, a plot will display showing the model fit (in yellow) overlaying the process data(in white).

Note: The model fit should reasonably approximate the actual process data (the yellow model fit line should substantially overlay the data). Sometimes a fit may look good but the model parameters make no sense, such as if the computed time constant is longer than the total time span used in the experiment for data collection.

If the fit is not reasonable, the model and tuning values are of little value for process control.

Your judgment is r e quir e d to assess and approve a model fit.

There are many options available on this screen to make the plot of more value to you. You may:

- print the plot with the Print icon on the tool bar, or Copy and Export the plot to a clipboard for pasting into Word, Power Point or other program with a graphical cut and paste capability,

- enter different values for the model parameters in the white boxes at the top of the plot screen, press enter, and see how the model fit changes,

- change plot labels, titles, grid displays, max/minimum axis values, tick mark frequency, and more by clicking the Plot Options icon on the tool bar, or clicking Customize and then Plot Options on the menu list,

- zoom for close up views of portions of the plot by holding down the left mouse key and drawing a box around the data of interest (the mouse arrow must be within the plot borders),

- use the X-Y pointer display in the upper corner of the plot to easily read the plot values pointed to by the mouse arrow (the mouse arrow must be within the plot borders).

After customizing the plot to your needs and exporting it if desired, return to the Design Tools main screen by closing the window, or by clicking File and then Exit.

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To obtain controller tuning values:

- Click the tabs on the Controller Tuning chart to view P-Only, PI or PID controller tuning values

To exit Design Tools and return to the gravity drained tanks:

- Close the window

or.....

- Click File on the menu list, and choose Exit

As shown above, the Design Tools main screen now displays values for the model parameters in a chart to the left and controller tuning values in a chart to the right. Both standard and conservative tuning values are available for P-Only, PI, PID and PID w/ Filter controllers. From your chart, write down the standard PI tuning values KC and I displayed touse when implementing your controller.

Note: The units for model time constants and dead time, and controller reset time and derivative time are in the units of the time stamp used when saving data to file. For Case Studies, this time unit is minutes. If you save data from the plant or lab, you must be aware of the time units you used as well as that required by your controller.

When you have recorded the PI tuning parameters, exit Design Tools be clicking on File on the menu list and then choosing Exit, or by closing the window.

To open the controller menu:

- Click Tasks on the menu list, and then Change Controller/Tuning

or.....

- Click the controller icon on the process graphic

or.....

- Use a right mouse click, and then Change Controller/Tuning

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Choose one of the above methods to open the Controller Design Menu. You will notice a question mark button as shown below. Click on these buttons, located throughout Control Station, to access Control Guru Help and learn about theory and technology issues associated with a selection.

To access Control Guru and learn more about theory and technology issues for a selection:

- Click a question mark ? anywhere it is displayed

To implement a controller, click Manual Mode at the top of the design menu and choose PID from the list. Halfway down the menu, enter the PI controller tuning KC and I you just computed in Design Tools (or enter the numbers shown in this example). Click Done at the bottom of the controller menu to put your controller in automatic.

To change set point:

- Click Tasks on the menu list, and then Change Set Point

or.....

- Click the white Set Point box on the process graphic

To view or print a fixed plot:

- Click File on the menu list, and choose View and Print Plot

or.....

- Click the Plot icon on the tool bar

Test your controller in tracking changes in set point. On the process graphic as shown above, click once on the white Set Point box, enter 5.0, and press enter. This should cause a response similar to that shown in the figure. Explore controller performance in rejecting disturbances by entering a new pumped flow rate in the white Disturbance box on the graphic and pressing enter.

Click View and Print plot to obtain a fixed plot of your graph. There you can modify the plot display and print a copy as described at the bottom of Page 11.

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5. Quick Start – Custom ProcessCustom Process operates like Case Studies in every way except that y ou define the dynamic behavior of the simulation by entering a model. The models are entered as parameters of a transfer function using convenient menus. To review popular model forms, click through the model library in Design Tools. There, models are displayed as transfer functions in the Laplace domain and as (possibly more familiar) ordinary differential equations in the time domain.

To start Custom Process from Control Station’s main menu:- click Modules on the menu list and then choose Custom Process, or- click the Custom Process icon, or- click the right mouse button and then choose Custom Process.You are then presented with a choice of running the Single Loop Process or Multi-Loop Process.

Single Loop ProcessIf you choose Single Loop Process, Custom Process launches as shown below. The left half of the screen shows the familiar menu list, tool bar and moving strip charts. The upper strip chart tracks the measured process variable while the lower strip chart tracks the controller output signal.

The right half of the screen shows the dynamic models used in the simulation expressed in the Laplace domain. Next to the models is a controller deviation bar display showing the current values of the controller output (CO), measured process variable (PV) and set point (SP). Below them is a process block diagram graphic.

To import a model previously constructed and saved to disk:

- Click File on the menu list, and then Import Model Parameters from File

or.....

- Click the Import button below the process block diagram graphic

For a custom study, you must specify the controller output to measured process variable dynamic behavior with a process model. You may choose to specify one disturbance to measured variable dynamic behavior with a disturbance model (this model need be defined only if you are performing disturbance dynamics investigations or disturbance rejection control studies).

You can import a model previously constructed and saved to disk. As shown above, either click File on the menu list and choose Import Model Parameters from File, or click the Import icon below the process block diagram graphic. You may save a model to disk after creating or modifying it. Either click File on the menu list and then click Export Model Parameters to File, or click the Export icon below the process block diagram graphic.

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To construct a process model:

- Click Tasks on the menu list, and then Construct Process Model

or.....

- Click the Process icon on the process block diagram graphic

As shown above, to construct a custom simulation, click Tasks on the menu list and then click Construct Process Model, or click the Process icon on the process block diagram graphic. This opens the Construct Process and Disturbance Model menu shown below.

For both process and disturbance, the model forms available include:- Overdamped Linear Model- Overdamped Nonlinear Schedule Model- Underdamped Linear Model- Underdamped Nonlinear Schedule Model

Use the tabs to select the Process Model or Disturbance Model. For the Overdamped Linear Model, enter your parameters using the input boxes as shown.

Click the appropriate tab to select the Process Model or Disturbance Model input form

Enter the model parameters in the input boxes provided

Click the Preview New ProcessModel icon to view your model

Tabs permit you to see your model both in the time domain and Laplace domain. You may also change the accuracy of the numerical solution method. The more accurate methods are slower as they

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use more computing resources. High accuracy is valuable when solving text book problems but of uncertain value whne solving problems in the highly uncertain real world.

The input form for the nonlinear schedule model is shown below. The nonlinear schedule requires that you enter three linear models at each of three operating levels, or process variable basis values.

Click the model list to change model form

The nonlinear model schedule requires entry of three linear models, each for a different operating level or process variable basis value

The nonlinear simulation method exploits the fact that:- a linear model can accurately describe the behavior of a nonlinear process for a narrow range of

operation, and- nonlinear behavior can be simulated by averaging the dynamics of multiple linear models.

During simulation, Control Station identifies the two linear models whose basis values bracket the current value of the measured process variable. The dynamic behavior of these two linear models are then interpolated to simulate the nonlinear behavior of the process.

As would be expected, the closer the measured process variable is to a particular basis value, the more weight that linear model is given in the interpolation. If the current measured process variable is outside the bounds of the basis values, the dynamics of the two closest models are extrapolated.

After entering your model parameters, click Done to start the simulation. The measured process variable, controller output and disturbance variable will all start up at 50 and will be limited in range to between 0 and 100 throughout the simulation. These are the default zero and span values.

If you are interested in zeros and spans for a specific process, then these default values are inappropriate. The Zeros and Spans tab permits custom values to be entered.

The form on the next page shows the maximum, minimum and start up values for a process where the initial or startup value of the measured process variable is 16.4, the initial or startup value of the controller output signal is 70, the startup value of the disturbance variable is 47, and all variables can assume a minimum value of 0 and a maximum value of 100.

After entering appropriate values, click Done at the bottom of the form to start the simulation.

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Click the Zeros and Spans tab to enter custom min, max and initial startup values

Click Done at the bottom of the form to start the simulation

Once the simulation has begun, all features discussed for Case Studies, including Design Tools, the controller library, and the graphing and printing utilities, are available as needed.

For example, to implement a controller, click Tasks on the menu list and then choose Change Controller/Tuning, or click on the controller icon on the graphic, or use a right mouse click and then choose Change Controller/Tuning. As shown below, the controller design menu is identical to that used in the Case Studies processes.

To implement a controller:

- Click on Tasks on the menu list and choose Change Controller/Tuning

or.....

- Click on the controller icon on the graphic

or.....

- Use a right mouse click and choose Change Controller/Tuning

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Multi-Loop ProcessIf you choose Multi-Loop Process, Custom Process launches as shown below. The left half of the screen lists the six models that define a multi-loop simulation. Next to the model list are deviation bar displays for the two control loops. The right side of the screen shows a block diagram graphic of the multivariable custom process and the pathways that information travels among the models.

A complete multi-loop simulation is comprised of six models- models for process 1 (CO1 to PV1) and process 2 (CO2 to PV2)- two interaction models (CO1 to PV2) and (CO2 to PV1)- two disturbance models (D1 to PV1) and (D2 to PV2)

While it is only necessary to define the disturbance models if they are being used in the study, the process and interaction models must be entered to create a meaningful multivariable investigation.

To import a model previously saved to disk:

- Click File on the menu list, and choose Import Model Parameters from File

or.....

- Click the Import button below the deviation bars

To toggle between the two multi- loop display screens:

- Click Task on the menu list, choose Toggle

or.....

- Click the Toggle icon on the tool bar

Like the single loop custom process, you may import a previously saved multi-loop process simulation by clicking File on the menu list and choosing Import Model Parameters from File, or clicking the Import button located beneath the deviation bar displays. Saving a simulation you have created is achieved with the analogous Export selection.

The multi-loop custom process actually has two displays. The edge of the second screen can just be seen in the figure above. To toggle to the other screen, click Task on the menu list and then click Toggle, click the Toggle icon on the tool bar, or click the edge of the screen currently in back.

The back display is shown on the next page. The left half of the screen shows a menu list, a tool bar and four moving strip charts. The upper two strip chart track CO1 and PV1 and the lower strip charts track CO2 and PV2. The right side of the screen shows the same block diagram graphic of the multivariable custom process.

Page 19: Manual Control Station

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Control Station User Guide Copyright 2002 by Douglas J. Cooper All Rights

Reserved

To construct a model:

- Click Tasks on the menu list, choose the model block of interest, and then Construct Model

or.....

- Click the appropriate model block icon on the block diagram graphic

Construction of a multi-loop simulation follows the procedure detailed for the single loop custom process. To input a model for a particular block, click Tasks on the menu list, choose the model block of interest and choose Construct Model, or click the appropriate model block icon on the block diagram graphic as shown above. This opens the Construct Process and Disturbance Model menu shown below.

Click the appropriate tab to call up a model input form

Click the Model List below the Process tab to select the desired model form

Enter the model parameters in the input boxes provided

Use the Zeros and Spans tab to enter those values.

Click Done to start the simulation

Choose the desired model form and enter the model values into the input boxes. Specify the zeros and spans using that tab. Click Done to start the simulation.

Once the simulation has begun, all features previously discussed, including Design Tools, the controller library, and the graphing and printing utilities, are available as needed.


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