基于混合神经网络的多机驱动系统的协调控制

Coordination Control of Multi-motor Driving System Based on Hybrid Neural Network

采用基于PLC的神经网络参数自学习PID控制器,通过神经网络的自学习,对PID参数进行在线实时调整,较好地解决了大型生产输送系统运行过程中的功率不平衡现象。仿真结果表明:混合神经网络PID方法的响应速度快、灵活性好,使电机获得了较好的跟随性能和跟随精度。

Considering the power imbalance in multi-motor driving conveying system,a PLC-based neural network PID controller with self-adaptive parameters was adopted. Through neural network's self-learning,the controller can realize online and real-time adjustment of the PID parameters so as to solve power imbalance in operational process of large-scale conveying system. Simulation results show that the hybrid neural network PID has a fast response speed and good flexibility,and it benefits motors in achieving good following performance and precision.