对系统辨识误差鲁棒的自适应复合控制方法研究

对基于系统辨识的自校正控制方法来说,其控制性能极大程度受制于辨识精度。针对这一缺点,提出了将变结构模型参考自适应控制与自校正控制相结合的自适应复合控制方法。以二阶线性对象为例,首先给出了极点配置理论下的自校正控制方法,并分析了辨识误差对控制性能的影响,对这一问题,引入变结构自适应控制,并给出了自适应控制律,最后通过仿真证明了这种复合控制方法既能抑制辨识误差的影响,同时也保留了自校正控制参数调整迅速准确的优点。

Research of Adaptive Hybrid Control Method with Robustness on System Identification Error

For the self-tuning control method based on system identification,the control performance is greatly affected by the precision of identification. To overcome this shortcoming,this paper proposes an adaptive compound control method based on variable structure model reference adaptive control and self-tuning control. Taking second order linear object as an example,the self-tuning control method based on pole assignment theory is firstly given,and the influence of identification error on control performance is analyzed. For this problem,variable structure adaptive control is introduced,and the adaptive control law is given. At last,the simulation results show that the composite control method can not only suppress the influence of the identification error,but also retain the advantages of rapid and accurate parameter adjustment of self-tuning control.