Analysis of the incompleteness of the priority ascent strategy of feasibility judgment and soft constraint adjustment | |
Liu JB(刘建帮)1,2,3; Zhang X(张鑫)1,2; Zou T(邹涛)4![]() | |
Department | 工业控制网络与系统研究室 |
Source Publication | ISA Transactions
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ISSN | 0019-0578 |
2020 | |
Volume | 101Pages:256–268 |
Indexed By | SCI ; EI |
EI Accession number | 20200708172166 |
WOS ID | WOS:000538134700023 |
Contribution Rank | 1 |
Funding Organization | National Key Research and Development Program of China [grant number 2017YFA0700303] ; National Natural Science Foundation of China [grant number 61773366] ; Natural Science Foundation of Liaoning Province[grant number 2019-KF-03-07] ; national foundation for studying abroad from the China Scholarship Council |
Keyword | Control Two-layer model predictive control Feasibility judgment and soft constraint adjustment Priority ascent strategy Incompleteness |
Abstract | The priority ascent strategy of feasibility judgment and soft constraint adjustment has been playing a significant role in two-layer model predictive control for decades of years. Nevertheless, our latest researches indicate the present priority ascent strategy is incomplete in some extent, which could have been repaired through some technical adjustment. Therefore, an augmented method is proposed to fundamentally settle the problem in the paper. Firstly, a special case is presented to verify the incompleteness of the present strategy. Secondly, some existing methods which can partly solve the problem are carried out and discussed. Then, an augmented priority ascent strategy which considers all hard constraints in advance is proposed to solve the incompleteness of the present strategy. Furthermore, a brief proof is given to demonstrate the completeness of the proposed approach. Finally, some simulations are discussed to indicate its feasibility and effectiveness. |
Language | 英语 |
WOS Subject | Automation & Control Systems ; Engineering, Multidisciplinary ; Instruments & Instrumentation |
WOS Keyword | MODEL-PREDICTIVE CONTROL ; STATE TARGET OPTIMIZATION ; LP-MPC ; PERFORMANCE |
WOS Research Area | Automation & Control Systems ; Engineering ; Instruments & Instrumentation |
Funding Project | National Key Research and Development Program of China[2017YFA0700303] ; National Natural Science Foundation of China[61773366] ; Natural Science Foundation of Liaoning Province[2019-KF-03-07] ; China Scholarship Council |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.sia.cn/handle/173321/26308 |
Collection | 工业控制网络与系统研究室 |
Corresponding Author | Zou T(邹涛) |
Affiliation | 1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China 3.University of Chinese Academy of Sciences, Beijing 100049, China 4.School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China |
Recommended Citation GB/T 7714 | Liu JB,Zhang X,Zou T. Analysis of the incompleteness of the priority ascent strategy of feasibility judgment and soft constraint adjustment[J]. ISA Transactions,2020,101:256–268. |
APA | Liu JB,Zhang X,&Zou T.(2020).Analysis of the incompleteness of the priority ascent strategy of feasibility judgment and soft constraint adjustment.ISA Transactions,101,256–268. |
MLA | Liu JB,et al."Analysis of the incompleteness of the priority ascent strategy of feasibility judgment and soft constraint adjustment".ISA Transactions 101(2020):256–268. |
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