PID and CMAC compound control of complex TRS using chaotic optimization strategy

A CMAC (Cerebellar Model Articulation Controller) network combined with PID (Proportion Integration Differential) control method was proposed in this paper. Aiming at the characteristics such as multivariable, strong coupling, nonlinear and time-varying parameters for the turbine regulating system, an improved mutative scale chaotic optimization algorithm was used for tuning the weight parameters of neural network and PID parameters to realize the multivariable optimal control. The new control strategy doesn't depend on the accurate math model of the plant. Moreover, it avoids a mass of tuning work in the progress of design. Simulation results showed that the method has many advantages such as fast response, strong robustness and good self-adaptability, thus the control quality can be greatly improved.