摘要
针对永磁同步电机提出基于单神经元PID的偏差耦合多电机同步控制策略。建立了数学模型,设计了自适应能力强、结构简单的单神经元PID控制器,并采用S函数编写单神经元学习模型。在交叉耦合控制方式的基础上提出了改进的偏差耦合控制,将各个电机转速反馈值经MUX和DEMUX环节进行整合后,通过转速补偿对电机转速进行调节。仿真实验表明有监督Hebb学习算法的单神经元PID运用到偏差耦合多电机同步控制系统中,使系统不仅具有良好的自适应能力,还能够有效地减小超调甚至无超调,提高系统响应能力,增加系统的鲁棒性。
Considering the characteristics of permanent magnet synchronous motor,the single neuron PID-based deviation coupling synchronization control strategy was proposed and the mathematic model concernedwas established,including the design of single neuron PID controller with strong adaptive ability and simple structure and the preparation of learning model with S function.Basing on the cross coupling control,the im-proved coupling control deviation was proposed,which has the motor feedback value integrated through MUX and DEMUX and the motor speed regulated through the speed compensation.The simulation results show that applying the single neuron PID of supervised Hebb learning algorithm to the multi-motor’s synchronous control system can reduce or eliminate the overshoot and can increase the system robustness as well as enhance the system’s response capability.
出处
《化工自动化及仪表》
CAS
2015年第5期479-482 591,591,共5页
Control and Instruments in Chemical Industry
基金
辽宁省教育厅科学研究项目(L2014183)
大连交通大学2014博士启动基金资助项目
关键词
永磁同步电机
同步控制
单神经元
PID
偏差耦合
permanent magnet synchronous motor,synchronous control,single neuron,PID,deviation coupling
