Application of adaptive control in a process control

Abstract

This paper presents the performance evaluation on the application of model reference adaptive control with various types of command inputs in a process plant. In the design of model reference adaptive control (MRAC) scheme, adaptive law have been developed based on Lyapunov stability theory. This paper deals with basic simulation studies on of the Continuous Stirred Tank Reactor (CSTR). The mathematical model is developed from material balances. Numerical mathematics is used for steady-state analysis and dynamic analysis which is usually represented by a set of differential equations. A simulation is carried out using Mat lab and Simulink to control the process system using the adaptive control algorithm. It is also utilized to show that the adaptive controller will be superior to the conventional controller even without parameters change in the process In a real world situation, these parameters could be estimated by using simulations or real execution of the system. It may possible to improve the performance of the adaptive controller by further modifying the adaptation law or by incorporating parameter identification in to the control.