Composite Control Combining Neuro-Fuzzy Inverse Control with PID Control and Its Application in a Continuous Stirred Tank Reactor
神经模糊逆模/PID复合控制在CSTR中的应用

This paper studies the realization of inverse systems and direct inverse control strategies based on the generalized basis function neural fuzzy network (GBFNFN), and presents the composite control strategy combining neuro fuzzy inverse control with PID control. The composite control strategy has been applied to the control of the concentration of a continuous stirred tank reactor (CSTR). Simulation results show that the composite control strategy can overcome the defects of direct inverse control caused by inaccuracy of the identified inverse model, and that the system can have good control performances.