Optimal interval controller design for uncertain systems

The interval controller design is a hot issue for uncertain systems, whereas how to design an optimal interval controller under the premise of ensuring system stability is a difficult problem that needs further study. This paper mainly aims at the single input single output uncertain system to propo...

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Vydané v:Asian journal of control Ročník 25; číslo 5; s. 3815 - 3830
Hlavní autori: Guan, Shouping, Li, Jiashuo, Dong, Panpan
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Hoboken Wiley Subscription Services, Inc 01.09.2023
Predmet:
Algorithms
Control systems design
Controllers
Domains
interval controller
interval particle swarm optimization
Kharitonov theorem
Optimization
Parameters
Particle size
Particle swarm optimization
Performance indices
Systems stability
Theorems
uncertain system
vertex method
ISSN:1561-8625, 1934-6093
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Popis
Shrnutí:The interval controller design is a hot issue for uncertain systems, whereas how to design an optimal interval controller under the premise of ensuring system stability is a difficult problem that needs further study. This paper mainly aims at the single input single output uncertain system to propose an optimal interval controller based on the Kharitonov theorem and an interval optimization algorithm, which can guarantee the stability and optimization of a closed‐loop interval system. According to the Kharitonov theorem, the optimal interval controller design can be transformed into an optimal controller synthesis issue of multiple vertex objects. An interval particle swarm optimization (IPSO) algorithm is then used to optimize the quadratic performance index with interval variables for each vertex object to obtain the solution domains of the controller parameters, and the vertex method is utilized to prevent interval width expansion or divergence in the iteration. Finally, the intersections of the solution domains for all vertex objects are obtained as the optimal interval solution of interval controller parameters. In addition, the stability verification approach of the closed‐loop system and the empirical rule to select the interval particle width are given. Simulation results for typical examples demonstrate that the designed interval controller not only performs optimally but also can robustly stabilize the interval system.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1561-8625
1934-6093
DOI:10.1002/asjc.3065