NDLI: A method to guarantee the feasibility of dynamic controller in double-layered model predictive control

Content Provider	IEEE Xplore Digital Library
Author	Hongguang Pan Peng Wang Hainan Gao
Copyright Year	2014
Description	Author affiliation: Dept. of Autom., Xi'an Jiaotong Univ., Xian, China (Hongguang Pan) \|\| Air Force Eng. Univ., Xian, China (Peng Wang) \|\| Troops 63771, PLA, Weinan, China (Hainan Gao)
Abstract	The double-layered model predictive control (M-PC), including a steady-state target calculation (SSTC) layer (upper layer) and a dynamic control layer (lower layer), is broadly used in the process industries. However, because of the inconsistence between the admissible set in upper layer and the domain of attraction in the lower layer, the steady-state targets given in the upper layer can not be reached. In this paper, the following measures are adopted: (i) calculate a series of maximal invariant sets and domains of attraction centering at the steady-state targets by relaxing soft constraints step by step, (ii) choose a suitable domain of attraction which contains the current state and the corresponding soft constraints adopted in the lower layer. Through this measures, the feasibility of the dynamic control optimization problem is guaranteed during the whole tracking process. The effectiveness of the approach is illustrated through an example.
Starting Page	1458
Ending Page	1463
File Size	238603
Page Count	6
File Format	PDF
ISBN	9781479939787
e-ISBN	9781479939794
DOI	10.1109/ICMA.2014.6885914
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-03
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Steady-state Optimization Stability analysis Current measurement Predictive control Aerodynamics Dynamic control Model predictive control Domain of attraction Inconsistence Steady-state calculation
Content Type	Text
Resource Type	Article

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