【摘要】 针对多电机同步控制系统控制精度问题,对多电机同步控制系统进行了研究。在分析了多电机同步控制算法的基础上,设计了具有自学习和自适应能力的神经元PID控制器,弥补了传统PID控制在非线性、时变、强耦合的多电机同步控制过程中存在的不足;采用偏差耦合控制策略,以模糊控制器作为速度补偿器,改进了多电机传统耦合控制方式。在MATLAB/SIMULINK环境下,搭建了多电机同步控制系统仿真模型。仿真结果表明基于模糊控制的多电机神经元PID同步控制系统具有良好的同步性和稳定性,实现了提高多电机同步控制系统控制精度的目的。更多还原

【Abstract】 The multi-motor synchronization control system is studied for the problem of the control accuracy of multi-motor synchronization control system in the paper.Based on a comprehensive analysis of multi-motor synchronization control system a neuron PID controller with self-learning and self-adaptive was designed,which made up the deficiency of traditional PID control in nonlinear,time-varying and strong-coupling multi-motor synchronization control;using deviation coupling control strategy with fuzzy controller as speed compensator,which improved the multimotor’s traditional coupling control mode.With the use of MATLAB / SIMULINK,the multi-motor synchronization control system simulation model can be established.The simulation result shows that multi-motor neuron PID synchronization control system based on fuzzy control has good synchronism and stability,the purpose that improved the control accuracy of multi-motor synchronization control system can be achieved.更多还原