基于极点配置与时延误差补偿的网络控制系统预测控制

Predictive Control for Network Control System Based on Pole Placement and Time-Delay Error Compensating

  • 摘要: 根据网络控制系统的时延上界及对象模型,建立网络控制系统的整体模型,应用极点配置广义预测方法进行控制器的设计,以保证网络控制系统控制的有效性与稳定性.考虑到网络时延的随机性,基于神经网络建立网络时延误差的预测补偿模型,用时延误差预测值对输出预测值进行补偿,构成基于极点配置和误差补偿的网络控制系统预测控制算法.仿真结果表明,本文方法有较高精度,可快速收敛.

     

    Abstract: Based on the upper bound of time delay in networked control system(NCS) and the plant model,the whole system model of NCS is set up,and the generalized predictive pole placement control(GPP) is used in design of the controller, to ensure the system's validity and stability.Considering the randomicity of the network time delay,a compensation model for time delay error prediction is set up based on neural network,is used to compensate the output prediction value,then the predictive control algorithm for NCS based on the pole placement and the error compensation is constructed.The simulation results show that the method has higher precision and faster convergence speed.

     

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