Fuzzy-immune-PIO Control of the Turbine Governing System Based on Compound Chaos Optimization Strategy

Aimed at the non-linear links such as time lag, inertia, dead time and saturation within the turbine governing system, a fuzzy-immune-PID control system was designed based on the principium of immune feedback and the theory of fuzzy control, while the PID parameters were tuning with chaos variables. Furthermore, a new chaos optimization algorithm that mixed stepped-up chaos optimization algorithm and mutative scale strategy is proposed, which can speed up the chaos ergodic optimum searching of the controller parameters and avoid a mass of tuning work in the progress of design. Simulation results compared with the traditional PID controller and fuzzy-immune PID controller prove that the method has many merits including small overshoot, fast response, good self-adaptability, high optimal efficiency, and obviously improving the control performances of the turbine governing system.