摘要
在实际的系统应用中,由于无刷直流电机采用普通PID控制策略难以满足高精度以及快速响应的需求,需要寻求更优的控制方式,因此通过融合粒子群算法与模糊控制的优势进行互补,采用了对外界因素变化影响较弱的模糊控制和运算处理效率较快的粒子群算法相互作用,进而优化单一控制算法控制精度不足。通过Simulink仿真验证,无论在响应速度还是在抗扰方面,无刷直流电机的优势都得到了很大的提升,能够获得更高的控制精度和稳态性,相比普通PID控制,启动阶段可以达到无超调,在面对负载扰动情况下抗干扰能力提高了50%。
In the actual system application,because the ordinary PID control strategy of Brushless DC motor is difficult to meet the needs of high precision and fast response,it is necessary to find a better control mode.Therefore,by combining the advantages of particle swarm optimization algorithm and fuzzy control,fuzzy control with weak influence on the change of external factors is adopted,which interacts with particle swarm optimization algorithm with fast operation and processing efficiency,so as to optimize a single control algorithm,and the control accuracy is insufficient.Through Simulink simulation,it is verified that the advantages of Brushless DC motor have been greatly improved in terms of response speed and anti-interference.It can obtain higher control accuracy and steady state.Compared with ordinary PID control,it can achieve no overshoot in the start-up stage,and the anti-interference ability is improved by 50%in the face of load disturbance.
作者
姜畅畅
贾洪平
贺鑫洪
JIANG Changchang;JIA Hongping;HE Xinhong(School of Electrical and Information Engineering,Jiangsu University,Zhenjiang 212013,China)
出处
《电子设计工程》
2023年第10期152-155,162,共5页
Electronic Design Engineering
关键词
无刷直流电机
粒子群算法
模糊控制
优化算法
brushless DC motor
particle swarm optimization
fuzzy control
optimization algorithm
