Intelligent Control Methods For Non-minimum Phase System

In the control engineering, the non-minimum phase system is very common and more restive, and several kinds of new strategies with the intellectual control method have been designed in this paper. For one-order unstable system with time delay, the problem of the systemic stabilization is discussed, and the tuning formulas and modified scheme for the control parameters of the hybrid PID controller are inferred. Based on this, for different target functions, carry out optimization of control parameters by using genetic algorithm and have achieved different control results. For the large time delay system, have designed improved fuzzy-Smith controller, and optimize the parameters of the controller with Genetic Algorithms, and have got ideal control result. For the non-minimum phase system with right-half plane (RHP) zeros, have introduced the parallel idea into Genetic Algorithms, and design a kind of two-stage fuzzy PID controllers based on Pseudo-Parallel Genetic Algorithms. The results of simulations show that the fuzzy controller optimized by this method has good controlling quality, strong robustness and anti-interference.