| 多输入多输出系统的加权多模型自适应控制研究 |
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| 引用本文： | 吕冠儒,张维存,刘文璐.多输入多输出系统的加权多模型自适应控制研究[J].上海理工大学学报,2015,37(2):159-164. |
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| 作者姓名： | 吕冠儒 张维存 刘文璐 |
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| 作者单位： | 中国科学院国家天文台,北京科技大学 自动化学院, |
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| 基金项目： | 国家高技术研究发展计划(863计划)主题项目(2011AA060408)；国家重点基础研究发展计划(973计划)项目(2012CB821203) |
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| 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.
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| 关 键 词： | 多输入多输出 加权多模型自适应控制 加权算法 |
| 收稿时间： | 2013/12/4 0:00:00 |
Weighted Multiple-Model Adaptive Control of Multiple-Input Multiple-Output Systems |
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| LV Guanru,ZHANG Weicun and LIU Wenlu.Weighted Multiple-Model Adaptive Control of Multiple-Input Multiple-Output Systems[J].Journal of University of Shanghai For Science and Technology,2015,37(2):159-164. |
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| Authors: | LV Guanru ZHANG Weicun and LIU Wenlu |
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| Institution: | National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China;School of Automation and Electrical Engineering, Beijing University of Science and Technology, Beijing 100083, China;School of Automation and Electrical Engineering, Beijing University of Science and Technology, Beijing 100083, China |
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| Abstract: | 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. |
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| Keywords: | MIMOSystem Weighted Multiple Model Adaptive Control Weighting Algorithm |
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