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Subspace based model predictive control for linear parameter varying systems
Luo, Xiaosuo1,2
2016
发表期刊International Journal of Circuits, Systems and Signal Processing
卷号10页码:321-325
摘要A novel model predictive control method based on subspace identification for linear parameter varying (LPV) systems is presented. The LPV systems in innovations are introduced to derive the subspace prediction output with the subspace identification algorithm. The subspace prediction output is composed of the time-varying system matrices and the transition matrices. Next, the subspace prediction output is transformed to the appropriate one for the design of the controller. Through RQ factorization, the R matrix can be obtained from the above subspace prediction output. The subspace predictors are derived from R matrix using the orthogonal projection. Then, the subspace predictors are used to design the model predictive controller. The controller is to get the control sequence which can be obtained by minimizing the cost function and the control input is calculated from the control sequence. It’s shown that the integrated action is incorporated in the control effect to eliminate the steady error. The simulation example is a model of the out-of-plane dynamics of a flexible rotor blade of a fixed speed wind turbine and it can be represented as the LPV system state-space model. The simulation results are provided to illustrate the performance of this method. © 2016, North Atlantic University Union. All rights reserved.
关键词Controllers Cost functions Forecasting Linear systems Matrix algebra Parameter estimation State space methods Time varying systems Turbomachine blades Wind turbines Fixed speed wind turbine Flapping dynamics Linear parameter varying systems Model predictive controllers Orthogonal projection Subspace identification Subspace predictors Transition matrices
收录类别EI
语种英语
出版者North Atlantic University Union NAUN
EI入藏号20164102880131
EI分类号615.8 Wind Power (Before 1993, use code 611 ) ; 732.1 Control Equipment ; 921 Mathematics ; 961 Systems Science
原始文献类型Journal article (JA)
文献类型期刊论文
条目标识符https://ir.cqcet.edu.cn/handle/39TD4454/3073
专题重庆电子科技职业大学
作者单位1.School of Automation, Chongqing University, Chongqing; 400044, China;
2.Chongqing College of Electronic Engineering, Chongqing; 401331, China
第一作者单位重庆电子科技职业大学
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Luo, Xiaosuo. Subspace based model predictive control for linear parameter varying systems[J]. International Journal of Circuits, Systems and Signal Processing,2016,10:321-325.
APA Luo, Xiaosuo.(2016).Subspace based model predictive control for linear parameter varying systems.International Journal of Circuits, Systems and Signal Processing,10,321-325.
MLA Luo, Xiaosuo."Subspace based model predictive control for linear parameter varying systems".International Journal of Circuits, Systems and Signal Processing 10(2016):321-325.
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