摘要
在分析无刷直流电机运行原理的基础上,提出了基于TMS32OLF2407A的永磁无刷直流电机控制系统的解决方案,即将单神经元与PID控制结合应用于无刷直流电机中。仿真试验表明,采用单神经元PID控制能取得令人满意的动静态性能,具有较强的鲁棒性和自适应性,改善了电机的调速性能。
Based on analysis of the brushless DC motor in a mathematical way, an intelligent control system is designed by combining single neuron with PID controller, This controller is used in the brushless DC motor, The simulation shows that the single neuron PID controller has static and dynamic performance, It presents high robustness and adaptive ability, and improves the speed ability of motor.
出处
《电机与控制应用》
北大核心
2008年第8期43-46,共4页
Electric machines & control application
关键词
无刷直流电机
数字信号处理器
智能控制
brushless DC motor
digital signal processing(DSP)
intelligent control