基于ARMAX模型自适应预测函数控制
ADAPTIVE PREDICTIVE FUNCTION CONTROL USING ARMAX MODELS
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摘要: 本文提出了基于ARMAX模型的自适应预测函数控制,该算法的特点是占用内存少,计算速度快,并具有较强的鲁棒性.ARMAX模型参数是通过带遗忘因子的递推最小二乘算法在线辨识得到.仿真结果表明,该控制算法比PID控制具有更好的控制品质.Abstract: An adaptive predictive function control strategy using ARMAX models has been developed. The characteristic features of this strategy are the small computer memory requirement, high computational speed, robust. The parameters of ARMAX model are identified by the recursive least square method with exponential forgetting. The simulation results show that the control strategy is more effective than PID control.