JOURNAL ARTICLE

Fault-tolerant observer-based leader-following consensus control for LPV multi-agent systems using virtual actuators

Jesus A. Vazquez TrejoJean‐Christophe PonsartManuel Adam‐MedinaGuillermo Valencia‐Palomo

Year: 2024 Journal:   International Journal of Systems Science Vol: 56 (8)Pages: 1816-1833   Publisher: Taylor & Francis

Abstract

This paper introduces a fault-tolerant consensus control approach for a continuous multi-agent system with actuator faults. The faults in the multi-agent system are modelled as additive and multiplicative actuator faults. The objective is to design a leader-following control for consensus-based Linear Parameter Varying (LPV) multi-agent systems. The proposed control approach employs a leader-following strategy, where the dynamics of the LPV virtual leader are defined. The synchronisation error between the followers and the virtual leader is considered, and a consensus control law is introduced. The fault-tolerant mechanism involves the design of a distributed LPV observer and an LPV virtual actuator. Fault-tolerance is achieved through the redistribution of control inputs based on the effectiveness of actuators and dynamic virtual actuators. The primary focus is on establishing Linear Matrix Inequalities (LMIs) conditions ensuring the existence of LPV consensus control, LPV observers, and LPV virtual actuator gains. To demonstrate the effectiveness of the proposed fault-tolerant control, simulation results considering a team of Unmanned Aerial Vehicles (UAVs) in formation under actuator faults are presented.

Keywords:
Actuator Control theory (sociology) Fault tolerance Observer (physics) Multi-agent system Engineering Control engineering Control (management) Linear matrix inequality Computer science Distributed computing Mathematics Mathematical optimization Artificial intelligence

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10
Cited By
8.37
FWCI (Field Weighted Citation Impact)
46
Refs
0.95
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Citation History

Topics

Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Mathematical and Theoretical Epidemiology and Ecology Models
Health Sciences →  Medicine →  Public Health, Environmental and Occupational Health
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