摘要
无刷直流电机是一种多变量、非线性、时变的控制系统,采用传统的PID控制难以得到满意的控制效果。文中提出一种小脑模型神经网络(CMAC)与传统增量式PID并行控制的电机调速方法(CMAC-PID)。该方法利用传统增量式PID对控制器进行反馈控制,保证了系统的稳定性,结合CMAC对控制器进行前馈控制,确保了系统的响应速度,减小了超调量,提高了控制精度。实验结果表明:与传统增量式PID算法相比,混合CMAC-PID算法能更好地提高控制系统的响应速度,减小超调量,且抗干扰性能较强。
Brushless DC motor is a multivariate,nonlinear,time-varying complex system. Control effects are difficult to be satisfactory if traditional incremental PID control method is only adopted. A new method of control method combining PID control with CMAC was given and was also put into use in brushless DC motor control system. The use of the traditional incremental PID to conduct feedback control ensures the realization of the system stability. The use of CMAC to realize feed-forward control ensures the response speed,reduces overshoots and improves control accuracy. Experimental results indicate that under the CMACPID algorithm the speed response was faster,the overshoot of the system was smaller and anti-interference was stronger compared with traditional incremental PID control.
出处
《仪表技术与传感器》
CSCD
北大核心
2016年第7期112-114,共3页
Instrument Technique and Sensor
基金
陕西省科学技术研究发展计划项目(2011K06-115)