摘要
将自适应遗传算法(A daptive G enetic A lgorithm简称AGA)搜寻最佳化的模糊滑模控制器(Fuzzy S lid ingM ode Con tro ller,简称FSM C)参数,应用于无刷直流电机系统。传统计算仿真的最佳控制器通常经手调才能应用于实际系统。本文用DSP建立计算机与无刷直流电机之间的数据传输机构,根据实际响应进行控制器的设计,并讨论其性能。
Investigated in this thesis is the application of an adaptive genetic algorithm （AGA）for searching optimal parameters of a fuzzy sliding mode controller （FSMC）for a DC brushless rotary motor position control system. Considering that the simulation result for optimal controller can hardly be used directly in a real system unless through some manual adjustment,this research used a digital between the brushless DC motor and a pensonal computer performance evaluation. signal processor（DSP）as a data transmission path to gain real responses for controller design and
出处
《微电机》
北大核心
2005年第5期53-56,共4页
Micromotors
