Process Control: A First Course with MATLAB
Written from the perspective of a student, this text emphasizes the importance of computers in the modern age of teaching and practicing process control.
TABLE OF CONTENTS Process Control: A First Course with MATLAB
Chapter 10: Multiloop Systems
There are many advanced strategies in classical control systems. Only a limited selection of examples is presented in this chapter. We start with cascade control, which is a simple introduction to a multiloop, but essentially SISO, system. We continue with feedforward and ratio control. The idea behind ratio control is simple, and it applies quite well to the furnace problem that is used as an illustration. Finally, a multiple-input multiple-output (MIMO) system is addressed with a simple blending problem as illustration, and the problem is used to look into issues of interaction and decoupling. These techniques build on what we have learned in classical control theories.
What Are We Up to?
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Applying classical controller analysis to cascade control, feedforward control, feedforward-feedback control, ratio control, and the Smith predictor for time-delay compensation
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Analyzing a MIMO system with relative gain array and assessing the pairing of manipulated and controlled variables
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Attempting to decouple and eliminate the interactions in a two-input two-output system
10.1 Cascade Control
A common design found in process engineering is cascade control. This is a strategy that allows us to handle load changes more effectively with respect to the manipulated variable.
To illustrate the idea, we consider the temperature control of a gas furnace, which is used to heat up a cold process stream. The fuel-gas flow rate is the manipulated variable, and its flow is subject to fluctuations that are due to upstream pressure variations.
In a simple single-loop system, we measure the outlet temperature, and the temperature...
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