The optimal composite fuzzy control for solar array drive assembly using PSO algorithm

Abstract

In order to improve the flexible vibration resulting from solar array, the permanent magnet synchronous motor (PMSM) is used as the drive sources. On the basis of it, a composite control method for solar array drive assembly (SADA) system is proposed in this paper. The combination of a lead-lag network and an adaptive fuzzy controller is applied in the proposed method. The lead-lag network is used to provide an adequate phase margin and tracking accuracy for SADA system. The adaptive fuzzy controller is used to cope with the influence of nonlinear disturbance. In order to reduce the design effort and find a better control parameter, the parameters of lead-lag network in composite controller are optimized by Particle Swarm Optimization(PSO) algorithm, which has a strong ability to find the most optimistic results. By comparing the classical proportion integration differentiation (PID), the proposed optimal composite control method illustrates the ability to suppress the flexible vibration of the SADA system under the effect of nonlinear disturbances and improve the velocity stability and dynamic performance.