Chaos Optimization Strategy on Fuzzy-immune-PID Control of the Turbine Governing System

Aiming at the non-linear links such as time lag, inertia, dead time and saturation within the steam turbine governing system, we designed a fuzzy-immune-PID control system based on a mutative scale chaos optimization method, the principium of immune feedback system and the theory of fuzzy control. The proposed algorithm was used in tuning-parameter design of the steam turbine governing system which can avoid a mass of tuning parameters work in the progress of design and get the best control performance. Simulation results proved that the method is more feasible on the optimization of target value