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...

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Bibliographic Details
Published in:Assembly automation Vol. 39; no. 1; pp. 200 - 210
Main Authors: Sun, Yanchao, Chen, Liangliang, Qin, Hongde
Format: Journal Article
Language:English
Published: Bingley Emerald Group Publishing Limited 16.04.2019
Subjects:
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
Online Access:Get full text
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Summary: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.
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ISSN:2754-6969
2754-6977
DOI:10.1108/AA-12-2017-182