【作者】 李晓理； 王伟； 王书宁；

【Author】 Li Xiaoli Wang Wei Wang Shuning (Department of Automation, Tsinghua University,Beijing, 100084, P.R.China) (School of Electronics and Information Engineering,Dalian University of Technology,Dalian, 116023, P.R.China) (Department of Automation, Tsinghua University,Beijing, 100084, P.R.China)

【机构】 清华大学自动化系系统工程所； 大连理工大学电子与信息工程学院；

【摘要】 本文针对离散时间系统,对含有有界扰动的时不变被控对象、含跳变参数的时变被控对象给出多模型自适应控制器,以改善被控对象的控制品质。在被控对象参数不确定范围内,对被控对象建立多个模型覆盖其参数不确定性。同时采用“局部化”技术,减少多模型控制算法的计算时间。文中证明,当多模型极点配置控制器应用到含有未知参数的线性时不变被控对象时,闭环系统是稳定的。同时从仿真结果可以看出本文所给算法的有效性。更多还原

【Abstract】 A multi-model adaptive control approach is proposed in this paper to improve the performance of adaptive control of discrete time invariant plant or time variant plant with jumping parameters and bounded disturbances. Multiple models of the plant are set up to cover the uncertainties of the plant dynamics. Localization method is used to reduce the computation burden of the multiple model algorithm. It is proved that the closed loop system is stable when multi-model pole assignment controller is used to a linear time-invariant plant with unknown parameters. The simulation results are given to show the usefulness of the proposed method更多还原