基于多目标竞争遗传算法的模糊变结构控制的研究

基于多目标竞争遗传优化算法,结合变结构控制和模糊逻辑技术的特点,提出一种优化模糊变结构控制方法.以滑模开关函数及其变化量作为模糊调节器的输入量,滑模面边界层宽度作为输出量,设计了一个二维模糊调节器,同时,引入了多目标竞争遗传优化算法,优化了边界层宽度模糊调节.液压伺服系统的位置控制实验结果表明,所提出的模糊变结构控制稳态控制精度高,同时削弱了抖振,在系统鲁棒性与稳态控制性能之间较好地实现了综合平衡.

Study on fuzzy variable structure control based on multi-objective competitive genetic algorithms

Combining the merits of variable structure, control and fuzzy logic, a fuzzy variable structure control based on multiobjective competitive genetic algorithms was developed. A two-dimension fuzzy tuning mechanism was designed for boundary width tuning due to the sliding mode plane function and its change rate. Simultaneously, a multi-objective competitive genetic algorithm was used to coordinate the design conflict between smoothing control actions and keeping higher control accuracy. Experiment results applied to a hydraulic servo system show that both higher steady-state precision and chattering reduction can be effectively carried out by using the proposed fuzzy vaviable structure control, and also that the design conflict between the robustness and steady-state characteristics in the hydraulic servo variable structure control system can be well balanced.