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	State feedback predictive control for hybrid system via parametric optimization
	Li, XG ; Huang, DX ; Gao, DJ
	2010-05-06 ; 2010-05-06 ; OCT
关键词	predictive control moving horizon estimator hybrid system mixed logic dynamic parameters programming CONSTRAINTS LOGIC MODEL Engineering, Chemical
中文摘要	In this article, state feedback predictive controller for hybrid system via parametric programming is proposed. First, mixed logic dynamic (MLD) modeling mechanism for hybrid system is analyzed, which has a distinguished advantage to deal with the logic rules and constraints of a plant. Model predictive control algorithm with moving horizon state estimator (MHE) is presented. The estimator is adopted to estimate the current state of the plant with process disturbance and measurement noise, and the state estimated are utilized in the predictive controller for both regulation and tracking problems of the hybrid system based on MLD model. Off-line parametric programming is adopted and then on-line mixed integer programming problem can be treated as the parameter programming with estimated state as the parameters. A three tank system is used for computer simulation, results show that the proposed MHE based predictive control via parametric programming is effective for hybrid system with model/plant mismatch, and has a potential for the engineering applications.
语种	英语 ; 英语
出版者	CHEMICAL INDUSTRY PRESS ; BEIJING ; NO. 3 HUIXINLI CHAOYANGQU, BEIJING 100029, PEOPLES R CHINA
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/9233]
专题	清华大学
推荐引用方式 GB/T 7714	Li, XG,Huang, DX,Gao, DJ. State feedback predictive control for hybrid system via parametric optimization[J],2010, 2010, OCT.
APA	Li, XG,Huang, DX,&Gao, DJ.(2010).State feedback predictive control for hybrid system via parametric optimization..
MLA	Li, XG,et al."State feedback predictive control for hybrid system via parametric optimization".(2010).

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