关键词: 变论域模糊控制, 双精度搜索算法, 伸缩因子, 等比因子

Abstract: Aiming at the low accuracy and poor adaptation of variable universe fuzzy control, and when the control function is inherited to the offspring, there usually exists some distortion which lead to the error of the algorithms. A variable-universe fuzzy control method based on double precision search algorithm is put forward. With the global optimal solution of basic gravitational search algorithm, sequential quadratic programming is employed as a local search method to avoid being trapped into local optimum. This paper presents a double precision search algorithm with “global-local” dual search mechanism. Then the method adjusts the universe by the contraction-expansion factor and geometric proportional factors based on variable universe fuzzy control, and optimizes the parameters through double precision search algorithms to reduce the distortion of control function in the control process and improves the control performance. Comparative experiments show that the stability of DPSA is prominent in the parameter optimization. The controller results in desirable convergence speed. The accuracy and effect are even better than those of other control ways.

Key words: variable universe fuzzy control, double-precision search algorithm, contraction-expansion factor, geometric proportional factors