采用Kautz函数逼近来得到未知系统模型,利用带遗忘因子的最小二乘法在线辨识系统模型变化。基于Kautz模型设计了一种自适应预测控制器,并且针对系统投运初期的辨识误差提出了一种衰减因子补偿方法,提高了控制品质。该算法自适应能力强,控制精度高。仿真试验证明了该算法的有效性。
A adaptive predictive control algorithm using the orthogonal Kautz function base was designed. The recursive least-squares (RLS) was used to identify the parameters online. A damped gene compensating method was proposed to improving control quality. It is shown that the designed method can provide good robustness for parameters perturbation. The simulations verify the given strategy.