Design Of Tank Gun Fuzzy Control System Based On Particle Swarm Optimization

In the complicated and diversified battlefield environment, the control of tanks and artillery which based on traditional dbject-oriented data models usually could not achieve the ideal effect. Fuzzy control have strong robustness, and it does not need precision mathematic model of the controlled object. Using fuzzy control in the control of tanks and artillery can effectively reduce the negative influences which are brought by nonlinear operator and the change of parameters in the control process. But parameters and rules in a common fuzzy controller can not be changed once they are established, it result in basic fuzzy controller could not be well adapted to the influence of changes in system dynamic characteristic or random disturbances.Particle swarm optimization (PSO) was first intended for simulating social behaviour, it is a method for performing numerical optimization without explicit knowledge of the gradient of the problem to be optimized. The algorithm is simple and easy to implement, and it has fast convergence, so PSO now is an important branch in the research of artificial intelligence. Due to the strong complementarity of PSO and Fuzzy Control, the research of combining these two methods has become a research hotspot in recent years.This paper first did a thorough research on PSO and fuzzy control. In view of the defects and deficiencies of the basic particle swarm optimization algorithm, a modified PSO algorithm was proposed and called GAPSO. GAPSO combined gene and had a nonlinear decreasing intertia weight. GAPSO was used to optimize the fuzzy controller and do on-line automatic adjust of ke, kec, ku. The proposed algorithm finally get a good control effect. At last, we applied GAPSO in the tanks and artillery fuzzy controller. And the experiment results showed that:GAPSO algorithm could effectively reduce the negative influences brought by the complex system model error and the exogenous disturbances uncertainty, GAPSO has excellent dynamic and static characteristics, GAPSO has strong anti-jamming performance and robustness.