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采用遗传算法,考察了不同模糊算子和模糊决策方法对控制器动静态性能的影响.大量仿真研究表明,在查询表式的模糊控制中,采用不同的模糊算子和决策方法对模糊控制器性能有一定影响,但通过比例因子的优化,它们之间的性能差别可大大缩小.因此,对采用查询表的模糊控制来说,比例因子的优化比模糊算子的选择更重要.
The effects of different fuzzy operators and fuzzy decision-making methods on the dynamic and static performance of the controller are investigated by using genetic algorithm.Many simulation studies show that in the fuzzy control of the look-up table, different fuzzy operators and decision-making methods are applied to the fuzzy controller However, with the optimization of scale factor, the performance difference between them can be greatly reduced, so the optimization of scale factor is more important than the fuzzy operator in fuzzy control with look-up table.