摘要
为了实现对系统速度的精确控制,在分析永磁同步电动机动态数学模型的基础上,将智能滑模变结构控制策略引入到双闭环矢量控制中,设计了基于智能滑模变结构的交流伺服控制系统.系统的速度环采用模糊神经网络滑模变结构控制,而电流环则采用常规PI控制.然后,利用Matlab6.5软件平台搭建了系统的仿真模型并进行仿真,仿真结果表明:该智能交流伺服控制系统具有更强的鲁棒性与更好的快速响应性,证明了这种控制方法的可行性和有效性.
In order to realize the accuracy control of the speed of the system,based on an analysis of the dynamic mathematical model of PMSM,this essay introduces the intelligent sliding mode variable structure control strategy into the two closed-loop vector control and designs an AC servo control system based on the intelligent sliding mode variable structure.The speed loop of the system adopts the fuzzy neural network sliding mode variable structure control,and the current loop of the system uses the conventional PI control method.Then,by Matlab6.5 software platform,the simulation model of the system is established to simulate,the simulation results show that the intelligent AC servo control system has stronger robustness and better fast response,and it has also proved the feasibility and validity of the control method.
出处
《湖南文理学院学报（自然科学版）》
CAS
2010年第4期52-57,共6页
Journal of Hunan University of Arts and Science(Science and Technology)
关键词
交流伺服
滑模变结构控制
模糊神经网络
永磁同步电动机
alternating current servo
sliding model variable structure control
fuzzy neural network
PMSM
