ANFIS and MPC's Combined Innovative Algorithms are Applied to Reactor Temperature Parameter Control

What is it about?

Aiming at the problems of complex working conditions and difficult to accurately model of continuous stirred tank reactor, a control system is proposed in this paper. First of all, the model prediction control of parameter self-correction is used to replace the cascade outer ring PID controller, and at the same time, as a transition control algorithm, the adaptive neural fuzzy system (ANFIS) is used to replace the model prediction controller of parameter self-correction, combined with the original inner ring ANFIS-PI controller, to form a cascade control system. The ANFIS-PI control system can reduce the influence of model mismatch on the system accuracy, and can effectively suppress the disturbance, which combines the advantages of model predictive controller and ANFIS.

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