Modeling and controller design of Model Reference Adaptive control for chemical reactor

Chemical processes are highly nonlinear in nature. The major drawback of non-adaptive control systems is that these control systems cannot cope with the fluctuations in the parameters of the process. The solution for such problem can be addressed by the use of high feedback gain in certain levels to decrease the sensitivity of the control system. Generally, high gain controllers come across two problems that are cited to be major. They are: large signal magnitude and closed loop instability. To overcome this issue, a control system has to be developed which adapts to the changes in a process. In this paper, the adaptive controller is modeled for a chemical reactor. The adaptive controller is modeled using MATLAB/ SMULINK and its performance is compared with other controller performances.