Now a day the control of chemical process is important craft in the industry. Mostly all the chemical process are highly nonlinear in nature this cause instability of the process. This paper deals with basic simulation studies on of the interactive thermal process. The Combination processes of Continuous stirred tank reactor (CSTR) and heat exchanger were controlled and the mathematical model was developed. This paper deals with the performance evaluation on the comparison of fuzzy control, adaptive control and conventional control in interactive thermal process. Fuzzy controller is one of the soft computing technique was proposed to control the process. In the design of adaptive control, Model reference adaptive control (MRAC) scheme is used, in which the adaptation law have been developed by MIT rule. Numerical calculation 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 matlab. The control was performed to the combined process system using the fuzzy control scheme, the adaptive control algorithm and conventional controller method and its results were analyzed. Thus it shows that the fuzzy controller will be suitable for this process then the adaptive and 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. Thus by controlling this process we recycle the waste heat and achieve less power consumption in the industries.

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Process - CSTR & Heat Exchanger PID controller Adaptive controller Fuzzy controller Matlab