基于粗糙集理论与进化计算的时滞系统Smith控制

Application of Rough Set-based Evolutionary Computation to Smith Control of Time-Delay System

Smith预估器是一种有效的大纯滞后补偿控制方法,但对模型的依赖性限制了它在工程实际中的应用。针对被控对象的纯时滞时间的不确定性和系统存在扰动的情形,将基于粗糙集的进化计算与Smith预估器的控制方法相结合,给出了一种在线调整时滞时间和利用前馈进行扰动补偿的自适应控制方法,即通过对反馈误差的在线优化适应性地调整Smith预估器的时滞时间常数和对扰动进行补偿。仿真结果表明了给出方法的有效性。

Smith predictor is an effective compensation mechanism for large pure time delay, However, its dependence on model limits its practical application. For the uncertainty of pure time delay in plant with disturbance, evolutionary computation based on rough set was applied to Smith predictor, and a new adaptive control method was proposed by on-line adjusting time-delay and using feedforward compensation, it means adaptively adjusting time-delay parameter in Smith predictor and the parameters of feedforward compensator by on-line optimizing feedback error, Simulation result shows the effectiveness of the method.