摘要
在分析无刷直流电机(BLDCM)的数学模型的基础上,建立了控制系统的Simulink仿真模型,提出了无刷直流电机调速系统单神经元自适应控制方法。该方法在调速系统中,电流环采用滞环电流控制,转速环采用单神经元自适应控制器控制,实现了双闭环自适应控制的调速系统。仿真结果表明:这种新型的控制方法响应快、无超调、鲁棒性强,较传统PID控制具有更好的动、静态特性。
According to the mathematical model of BLDCM, a single neural self - adaptive control method was proposed for controlling the speed servo system based on the Simulink dynamic model of BLDCM. In the system, the hysteresis current controller was implemented in the current loop, and in the speed loop a single neural self- adaptive controller was applied. Organically combined the blocks, a test was performed on a adaptive control system of double close loops. The simulation results show the improved performance is superior to the traditional PID controller. It works well with high dynamic and static performance, because of its advantage in quick response.
出处
《贵州工业大学学报（自然科学版）》
CAS
2008年第4期195-198,210,共5页
Journal of Guizhou University of Technology(Natural Science Edition)
