Distributed adaptive fuzzy tracking algorithms for multiple uncertain mechanical systems

PurposeThis paper aims to investigate the distributed coordinated fuzzy tracking problems for multiple mechanical systems with nonlinear model uncertainties under a directed communication topology.Design/methodology/approachThe dynamic leader case is considered while only a subset of the follower me...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Assembly automation Ročník 39; číslo 1; s. 200 - 210
Hlavní autoři: Sun, Yanchao, Chen, Liangliang, Qin, Hongde
Médium: Journal Article
Jazyk:angličtina
Vydáno: Bingley Emerald Group Publishing Limited 16.04.2019
Témata:
Adaptive algorithms
Adaptive control
Algorithms
Approximation
Communication
Computer simulation
Control algorithms
Control systems
Energy consumption
Feedback control
Fuzzy control
Fuzzy systems
Graph theory
Mathematical models
Mechanical systems
Nonlinear systems
Topology
Tracking control
Uncertainty
ISSN:2754-6969, 2754-6977
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:PurposeThis paper aims to investigate the distributed coordinated fuzzy tracking problems for multiple mechanical systems with nonlinear model uncertainties under a directed communication topology.Design/methodology/approachThe dynamic leader case is considered while only a subset of the follower mechanical systems can obtain the leader information. First, this paper approximates the system uncertainties with finite fuzzy rules and proposes a distributed adaptive tracking control scheme. Then, this paper makes a detailed classification of the system uncertainties and uses different fuzzy systems to approximate different kinds of uncertainties. Further, an improved distributed tracking strategy is proposed. Closed-loop systems are investigated using graph theory and Lyapunov theory. Numerical simulations are performed to verify the effectiveness of the proposed methods.FindingsBased on fuzzy control and adaptive control theories, the desired distributed coordinated tracking control strategies for multiple uncertain mechanical systems are developed.Originality/valueCompared with most existing literature, the proposed distributed tracking algorithms use fuzzy control and adaptive control techniques to cope with system nonlinear uncertainties of multiple mechanical systems. Moreover, the improved control strategy not only reduces fuzzy rules but also has higher control accuracy.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2754-6969
2754-6977
DOI:10.1108/AA-12-2017-182