PDF7 - Control Control Station Software for Process Control...

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Hands-on Workshop Series by Douglas J. Cooper Copyright 2004 by Control Station LLC All Rights Reserved Hands-on Workshop Series A Companion to Practical Process Control using Control Station 3.7 Douglas J. Cooper Control Station Software for Process Control Analysis, Tuning and Training
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Hands-on Workshop Series by Douglas J. Cooper Copyright 2004 by Control Station LLC All Rights Reserved 1 Table Of Contents Page Workshop 1: Exploring Dynamics of the Gravity Drained Tanks 2 Workshop 2: P-Only Control of Tank Level 5 Workshop 3: The Hazard of Tuning PI Controllers by Trial and Error 8 Workshop 4: PI Control of Heat Exchanger Temperature 10 Workshop 5: PI Control of Distillation Top Composition 14 Workshop 6: PID Control of Heat Exchanger Temperature 16 Workshop 7: PID with Filter and Control of the Multi-Tank Process 21 Workshop 8: Adaptive PI Control of Nonlinear Processes 24 Workshop 9: Modeling and Simulation of Single Loop Processes 27 Workshop 10: Cascade Control of the Jacketed Reactor 31 Workshop 11: Feed Forward Control of the Jacketed Reactor 34 Workshop 12: Advanced Feed Forward Control of the Heat Exchanger 38 Workshop 13: Multivariable Decouplers and Distillation Control 42 Workshop 14: Modeling and Decoupling of Multi-Loop Processes 47 Workshop 15: Dead Time Compensation Using the Smith Predictor 51 Workshop 16: Dynamic Matrix Control (DMC) of the Gravity Drained Tanks 55
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Hands-on Workshop Series by Douglas J. Cooper Copyright 2004 by Control Station LLC All Rights Reserved 2 Workshop 1: Exploring Dynamics of the Gravity Drained Tanks Objective: To generate open loop step test data and learn how to describe the observed dynamic process behavior with a first order plus dead time (FOPDT) model. Also, to learn about the nonlinear nature of processes. Reference: “Practical Process Control” Chapters 1-3 1) We always begin a controller design by analyzing the dynamic behavior of the process, or how the measured process variable responds to changes in the controller output signal. Here we analyze the dynamic behavior of the gravity drained tanks process. Click the Case Studies button on the main Control Station screen. From the pop-up list of processes, click "Gravity Drained Tanks" to start the simulation. Study the graphic and observe how a change in the controller output signal will cause the valve position to change, which changes the flow rate of liquid into the top tank, which ultimately changes the level in the lower tank. Liquid level in the lower tank is our measured process variable. 2) The formal approach for analyzing the behavior of a process is to fit a dynamic model to process data. Good data starts with the process at steady state. The controller output signal is then moved far enough and fast enough so that it forces a clear response in the measured process variable.
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