ANFIS Gain Scheduled Johnson’s Algorithm based State Feedback Control of CSTR
نویسندگان
چکیده
CSTR plays a vital role in almost all the chemical industries. Continuous Stirred Tank Reactor (CSTR) is a highly nonlinear process. The CSTR process is analysed for stability conditions by investigating the eigen values. Also Phase plane trajectory is constructed to analyse the CSTR. CSTR exhibits stable and unstable steady state at different regions. Control of CSTR in the complete range is a mind boggling problem. In this paper, a ANFIS scheduled Johnson’s Algorithm based state feedback control of CSTR is proposed. The entire range is divided into three regions; low, middle and the high region. The low and the high region have stable steady state and the middle region have unstable steady state. Initially, the gain matrix of the state feedback controller is computed for each region using Johnson’s Algorithm to have a minimum performance index. Then using ANFIS gain scheduler, the complete controller is formed. The result shows the feasibility of using the proposed controller for the control of CSTR for the tracking and regulatory problems.
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