Research On Genetic Optimization_Based Fuzzy-Pid Control Strategy

With the development of science and technology, the increasing function and complexity of the system. For a large , time-varying, non-linear control object, difficult to establish a precise mathematical model. Using traditiongal PID alone can not meet the need of system performance. But using of Fuzzy-PID hybrid control is a relatively good solution.Genetic algorithm is formed in the natural environment of simulating biological genetic and evolutionary process. It is a search algorithm based on natural selection and genetic principles. Reflects the ideas of natural selection,survival of the fittest. The structure of PID control is simple and it is easy to implement. Fuzzy control need not establish a precise mathematical mode. And it have strong robustness. Full advantage of the characteristics of the three respective, Fully to their strengths. Combined genetic algorithms and Fuzzy-PID control. It is one of the direction of development intelligent control.First, the fuzzy control theory and genetic algorithms are described in detail and discussed. The contents include: theory of fuzzy control, the design of conventional fuzzy controller, the theory and the basic operation of genetic algorithm and so on.The correct selection of membership function and fuzzy control rules is the key to the design of fuzzy controller. It determines the dynamic and static performance of fuzzy control system ,except control effect. However, they have a great subjectivity and artificial. In order to overcome these negative factors. In this paper, an improved genetic a lgorithm is applied to optimize the quantitative factors and scale factor of fuzzy control. Futhermore, it can optimize the control rules and membership function. Making them more reasonable. Then using the Matlab simulation to the optimized fuzzy PID controller. The results show that the optimized controller significantly improved the dynamic performance of control systerm. Enable the system to achieve satisfactory control performance. For the further applied provided the theoretical basis.Finally, made material testing machine electrol-hydraulic servo controlled system as the study object. Estalished mathematical model of the system. Developed based on genetic optimization of Fuzzy-PID controller. Made the real-time computer control test to the system. Made Labview as software platform. The result of the experiment verificated the rationality and effectiveness of Fuzzy-PID controlled algorithm based on the genetic optimization. Achieved a good control effect.