基于Smith预估补偿的网络控制系统仿真研究

摘要

To the question of networked control system with random time-delay in both forward and feedback channels. A class of Smith predictor based on neuron controller is presented. With root locus method, the influences of network delay on the control system stability are analyzed. Combined with incomplete derivative-forward PID control algorithm, Smith prediction model is established. Better control performance is gotten in case of the Smith predictor model miss-matching. Simulation is researched on a DC motor. The simulation results show the effectiveness of the proposed method.%针对网络控制系统中前向通道和反馈通道同时存在随机延迟的问题,提出了一种基于神经元控制器的Smith预估器的设计方案.利用根轨迹法分析了随机延迟对网络控制系统稳定性的影响.结合不完全微分先行PID控制算法,建立了Smith预估模型,在模型不完全匹配的情况下得到较好的控制性能.以直流电机为被控对象进行仿真研究,仿真结果表明该方法的有效性.