Volume 31, Issue 4 pp. 489-506
Adaptive Control and Signal Processing in Marine Systems

A cooperative formation-based collision avoidance approach for a group of autonomous vehicles

Aolei Yang

Aolei Yang

Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200072 China

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Wasif Naeem

Corresponding Author

Wasif Naeem

School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, BT9 5AH UK

Correspondence to: Wasif Naeem, School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, BT9 5AH, UK.

E-mail: [email protected]

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Minrui Fei

Minrui Fei

Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200072 China

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Xiaowei Tu

Xiaowei Tu

Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200072 China

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First published: 12 May 2015
Citations: 7

Summary

This paper employs a unique decentralised cooperative control method to realise a formation-based collision avoidance strategy for a group of autonomous vehicles. In this approach, the vehicles' role in the formation and their alert and danger areas are first defined, and the formation-based intra-group and external collision avoidance methods are then proposed to translate the collision avoidance problem into the formation stability problem. The extension–decomposition–aggregation formation control method is next employed to stabilise the original and modified formations, whilst manoeuvring, and subsequently solve their collision avoidance problem indirectly. Simulation study verifies the feasibility and effectiveness of the intra-group and external collision avoidance strategy. It is demonstrated that both formation control and collision avoidance problems can be simultaneously solved if the stability of the expanded formation including external obstacles can be satisfied. Copyright © 2015 John Wiley & Sons, Ltd.

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