摘要
针对无刷直流电机速度调节系统中存在的控制不精确性,以及单一使用传统PID算法不能满足大范围调速和抑制超调等方面的问题,提出以TMS320LF2407数字信号处理器(DSP)为硬件控制核心,同时在算法实现上,采用非线性预测模型BP神经网络PID的控制算法,硬件和算法相结合,解决了系统中PWM信号的生成、电机速度和电流反馈等问题,仿真结果表明:系统的响应速度快、稳定性能好,提高了无刷直流电机的可控性.
In order to realize the exact controllability of BI.DCM ,and overcome the problems that can not satisfy the large scope speed servo and reduce overshoot when only use the typical PID controller. This system adopts TMS320LF2407 as it hardware core,meanwhile use the improved non-linear prediction BP neural network PID as its control arithmetic,in this way ,it realizes the produce of PWM and solves the feedback of voltage and current . Simulation experiments demonstrate that this control method can improve the response speed and enhance the static precision of the speed servo system,menwhile,improve the BLDCM controllability.
出处
《中原工学院学报》
CAS
2008年第5期33-35,41,共4页
Journal of Zhongyuan University of Technology
作者简介
王晓雷（1963-），男，河南郑州人，副教授．
