摘要
针对单入单出系统设计的加权算法无法在多输入多输出系统中得到较好的控制效果,对加权多模型自适应控制中的加权算法进行研究,并设计矢量与标量两种加权算法,研究多变量系统中标量以及矢量权值对系统的影响.同时,对加权算法中的误差性能指标进行研究,选取不同的误差性能指标,研究不同误差性能指标对权值收敛速度的影响.通过Matlab搭建Simulink仿真模型,对加权算法进行仿真.仿真结果显示,采用定常系数的误差性能指标的标量加权算法能对多输入多输出系统做出理想的控制效果.
The weighted multiple-model adaptive control （MMAC） has been sucessfully used for single-input single-output （SISO） systems, but for multiple-input multiple-output （MIMO） systems,satisfactorty application results are still quite few. The weighting algorithm designed for SISO systems could not work well on MIMO systems. In the paper, two different weighting methods, namely, the scalar and vector weighting algorithms were considered and their effectiveness were verified through Matlab simulations. The weighting algorithms＇ parameters were adjusted in order to quickly recognise the change of system parameters. Different error performance index has influence on the convergence speed of the weighing value. Through Matlab simulations, it is found that the scalar weighting algorithm with constant coefficient error performance index mentioned in the paper can achieve an ideal control effect on MIMO systems.
出处
《上海理工大学学报》
CAS
北大核心
2015年第2期159-164,共6页
Journal of University of Shanghai For Science and Technology
基金
国家高技术研究发展计划(863)资助项目(2011AA060408)
国家重点基础研究发展计划(973)资助项目(2012CB821203)
