CAJ | 학술논문

文章针对模糊控制技术中模糊规则冗余致使控制系统复杂性增加的问题，提出了一种基于粒计算优化的模糊控制方法，即使用邻域作为粒计算的表达，并以规则覆盖度和置信度作为启发信息，对模糊规则进行提取，简化模糊控制器，并能满足控制要求。Matlab／Simulink仿真结果表明，该方法应用于DCT （dual‐clut‐ches transmission）车辆起步过程的离合器控制时，可以减少起步模糊规则的数量，提高控制的实时性，满足车辆起步平稳、快捷的要求。
문장침대모호공제기술중모호규칙용여치사공제계통복잡성증가적문제，제출료일충기우립계산우화적모호공제방법，즉사용린역작위립계산적표체，병이규칙복개도화치신도작위계발신식，대모호규칙진행제취，간화모호공제기，병능만족공제요구。Matlab／Simulink방진결과표명，해방법응용우DCT （dual‐clut‐ches transmission）차량기보과정적리합기공제시，가이감소기보모호규칙적수량，제고공제적실시성，만족차량기보평은、쾌첩적요구。
In this paper ,a modified fuzzy control method with granular computing is proposed for the problem that redundant fuzzy rules of fuzzy controller increase the control system complexity .Fuzzy rules are extracted by using neighborhood as the granular computing expression ,the rule coverage and confidence level both as the heuristic information .Then the fuzzy controller can be simplified and the control requirements can be satisfied .The Matlab/Simulink simulation results show that the proposed method applied to controlling dual‐clutches transmission (DCT ) clutch in vehicle starting process can not only reduce the fuzzy rules quantity ,but also improve the real‐time property ,so the vehicle can start smoothly and fast .