The Journal of IEE, Part II, 93(34), pp. 353-372. **Part 3**

**Multivariable Systems – Automatic Tuning and Adaptation** 

102 Introduction to PID Controllers – Theory, Tuning and Application to Frontier Areas

Whiteley, A. L. (1946). Theory of servo systems, with particular reference to stabilization.

**5** 

*India* 

**Identification and Control of Multivariable** 

Batch and continuous systems are of multivariable in nature. A multivariable system is one in which one input not only affects its own outputs but also one or more other outputs in the plant. Multivariable processes are difficult to control due to the presence of the interactions. Increase in complexity and interactions between inputs and outputs yield degraded process behavior. Such processes are found in process industries as they arise from the design of plants that are subject to rigid product quality specifications, are more energy efficient, have more material integration, and have better environmental performance. Most of the unit operations in process industry require control over product rate and quality by adjusting one/more inputs to the process; thus making multivariable systems. For example, chemical reactors, distillation column, heat exchanger, fermenters are typical multivariable processes in industry. In case of chemical reactor, the output variables are product composition and temperature of reaction mass. The input variables are reactant or feed flow rate and energy added to the system by heating/ cooling through jackets. Product composition can be controlled by manipulating feed rate whereas rate of reaction (thereby temperature) can be controlled by changing addition/ removal rate of energy. But, while controlling product composition, temperature is affected; similarly, while controlling temperature of reaction mass, the composition gets affected, thus, exhibiting interactions between input and output variables. Distillation is widely used for separating components from mixture in refineries. Composition of top and bottom products are controlled by adjusting energy input to the column. A common scheme is to use reflux flow to control top product composition whilst heat input is used to control bottom product composition. However, changes in reflux also affect bottom product composition and component fractions in the top product stream are also affected by changes in heat input. Hence, loop interactions occur in composition control of distillation column. Thus, unless proper precautions are taken in terms of control system design, loop interactions can cause performance degradation and instability. Control

system design needs availability of linear models for the multivariable system.

system. The outputs of the loops are given by

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Corresponding Author

The basic and minimum process model for multivariable system is considered here as 2x2

**1. Introduction** 

 **Systems – Role of Relay Feedback** 

*Department of Chemical Engineering, CLRI(CSIR), Adyar, Chennai,* 

Rames C. Panda\* and V. Sujatha
