基于S7-300的两电机系统DRNN神经网络PID控制

DRNN PID Control of Two-motor Synchronous System Based on S7-300

针对多输入多输出时变、非线性、耦合的两电机同步系统,文中提出了一种控制系统,其包括:两个DRNN神经网络在线整定参数的智能PID控制器,分别对系统中的速度和张力变量进行控制;神经元解耦补偿器执行对速度和张力两耦合变量的解耦控制。将控制算法编程下载到PLC中,并采用PROFIBUS-DP现场总线实现S7-300PLC和MMV变频器主从站式通讯。实验表明,采用该方法可以实现两电机同步系统中速度和张力的解耦控制,系统对负载的扰动有很强的抑制作用,系统具有良好的动静态性能,可有效跟踪任意给定轨迹。

Aiming at the characteristics of multi-input and multi-output, nonlinearity, time - variation and coupling in synchronous control of the two-motor synchronous system, this paper presents a control system which includes two intelligent PID controllers based on DRNN neural network arithmetic which adjusts the parameters of PID controllers on-line, and neuron decoupling compensator fulfilling open loop decoupling of multi-variable, while the control arithmetics are progammed in S7-300 PLC by STEP7, and master-slave communication mode of PROFIBUS-DP fieldbus is adopted to realize network control for distributed control system from S7-300 PLC to MMV trans-ducers. Experimental results show that the method designed realized the decoupling control between the speed and tension of the two-motor synchronous speed-regulation system. The system is great robust to the disturbance, has better dynamic and static charac- teristics and can trance defined route.