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由于目前实际中的模糊控制器通常多采用Mamdani合成模糊推理并结合重心法进行清晰化,此类控制器运算量很大,相应的实用化产品对硬件和软件都有较高的要求,导致其适用性受到一些限制.为此采用概率论中“最佳预测”的概念推导出一种模糊控制算法,并考虑到适用性的需要对该模糊控制算法进行了改进.改进后的算法十分简单,并用当前流行的仿真软件Matlab对其进行了仿真分析.分析结果表明,该算法与普通模糊控制器及文献中介绍的快速智能PI控制器相比,其上升时间和稳态时间均大大减小,具有响应迅速、超调小的特点.
Due to the fact that the fuzzy controller in the present usually uses the Mamdani synthetic fuzzy inference and the combined center of gravity method to make clear, such a controller requires a large amount of computation, and the corresponding practical product has higher requirements on hardware and software, The applicability is limited.To this end, a fuzzy control algorithm is derived from the concept of “best prediction ” in probability theory, and the fuzzy control algorithm is improved in view of the applicability.An improved algorithm is very Simple and simulative analysis with the popular popular simulation software Matlab.The analysis results show that compared with the general fuzzy controller and the fast intelligent PI controller introduced in the literature, the algorithm greatly reduces the rise time and steady state time Small, with rapid response, small overshoot characteristics.