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Alternative TitleA framework for multi-variable semi-adaptive predictive control system
郑洪宇1,2; 王鹏2,3; 邹涛2; 胡静涛2; 于海斌2
Source Publication中国科学:信息科学
Indexed ByCSCD
Contribution Rank1
Funding Organization国家重点研发计划(2017YFA0700303, 2017YFB0603703) ; 国家自然科学基金(61773366, 61533015) 资助项目
Keyword自适应控制 模型预测控制 系统辨识 参数估计 区间控制
Other AbstractIn view of the degradation of predictive control performance caused by model mismatch, a multivariable semi-adaptive zone predictive control system framework is presented. The proposed framework changes the traditional control mode to testing mode, turns set-point control to zone control. thus realizing the constraint satisfaction of the output variables of the test process. For constraint zone model predictive control in integrated testing mode, the amplitude strength of testing input signals is introduced to realize the constraint guarantee function and the signal-to-noise ratio maximization. The framework implements the open loop test to improve test efficiency under the premise of production on the rails. The signal-to-noise ratio of the testing process is ensured through the maximization test signal amplitude. Furthermore, the framework is extended from constrained predictive control to two-layer model predictive control, and the benefit balance coefficient is introduced to realize the balance between economic benefit and testing. The method mentioned in the paper is a kind of on-line open-loop identification, solving the problem of the correlation between input signals and noises in closed-loop identification. The simulation results verify the effectiveness of the method.
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Document Type期刊论文
Corresponding Author邹涛; 于海斌
Recommended Citation
GB/T 7714
郑洪宇,王鹏,邹涛,等. 多变量半自适应预测控制系统架构[J]. 中国科学:信息科学,2019,49(1):57-73.
APA 郑洪宇,王鹏,邹涛,胡静涛,&于海斌.(2019).多变量半自适应预测控制系统架构.中国科学:信息科学,49(1),57-73.
MLA 郑洪宇,et al."多变量半自适应预测控制系统架构".中国科学:信息科学 49.1(2019):57-73.
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