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一般常规模糊控制器设计中 ,隶属函数采用对称均匀分布曲线 ,此方法存在一定的不足。采用Sum Product推理方法 ,等比间距不均匀分布隶属函数的模糊控制器 ,在控制性能上优于常规模糊控制器 ,可提高系统的快速性和鲁棒性 ,同时大大减少了隶属函数中需优化参数的个数。在解析结构理论研究的基础上对所设计的模糊控制器进行了定性和定量的分析 ,分析结果和仿真实验证明了该方法的优越性和有效性。
In the general fuzzy controller design, the membership function adopts symmetrical uniform distribution curve. This method has some shortcomings. Using Sum Product reasoning method, the fuzzy controller whose membership function is non-uniformly distributed is more superior to the conventional fuzzy controller in control performance, which can improve the speed and robustness of the system and greatly reduce the need to optimize the membership function The number of parameters. Based on the analysis of structural theory, the fuzzy controller is analyzed qualitatively and quantitatively. The analysis results and simulation results show the superiority and effectiveness of the proposed method.