基于遗传算法优化因子的灰色PI预测控制

摘要

Because of the proportion and integral facter' s parameter of Grey PI-type generalized predictive control is harder tuning, it propose a algorithm based on GA parameter optimization and tuning for Grey PI-type generalized predictive control (GPIPC). Grey Pi-type generalized predictive control ( GPIPC) use prediction technology overcome time-varying and time-delay,and ues PI(PID) control technology strengthen system robustness, and using the genetic algorithm tuning the proportion and integral facter of Grey PI-type generalized predictive control on line, enhancing the system's tracking features and characteristics of resistance to the constant disturbance, greatly re-duceing the degree of delay mismatch of model and gain mismatch of model. Simulation results show that this algorithm has better robustness and immunity.%针对灰色PI预测控制比例因子和积分因子参数整定困难,提出了基于遗传算法参数优化整定的PI型灰色广义预测控制( GPIPC).灰色PI预测控制(GPIGPC)采用灰色预测控制技术克服时变时滞,用PI(PID)控制技术加强系统的鲁棒性,运用遗传算法在线优化整定灰色PI预测控制的比例因子和积分因子,增强了系统的跟踪特性和抗恒值扰动特性,极大程度地减少了模型时延失配和模型增益失配的影响.仿真实例表明,该算法具有较好的鲁棒性和抗干扰性.