TY - GEN
T1 - Formation control of multi-agent system considering obstacle avoidance
AU - Toyota, Ryo
AU - Namerikawa, Toru
N1 - Publisher Copyright:
© 2017 The Society of Instrument and Control Engineers - SICE.
PY - 2017/11/10
Y1 - 2017/11/10
N2 - This paper deals with distributed and cooperative control algorithm to make each agents to form a formation for a second-order system. However, when forming a formation with a multi-agent system, there is a possibility that the agents collide with each other or collide with obstacles other than the agent. Also, if the agents avoid other agents and obstacles, the distance between agents may be temporarily too far apart. In order to solve these problems, this paper proposes a control algorithm which consists of Leader-Follower structure, consensus algorithm and artificial force based on artificial potential field. For the control algorithm to make agents achieve formation in a decentralized cooperative way, we derive the condition concerning the control gain to ensure stability. In addition, by comparing the amount of energy, we design conditions that ensure collision avoidance between agents, collision avoidance with obstacles, and distance between agents, and also design potential functions that satisfy the conditions. The validity of the control algorithm proposed in this paper is verified by numerical simulations.
AB - This paper deals with distributed and cooperative control algorithm to make each agents to form a formation for a second-order system. However, when forming a formation with a multi-agent system, there is a possibility that the agents collide with each other or collide with obstacles other than the agent. Also, if the agents avoid other agents and obstacles, the distance between agents may be temporarily too far apart. In order to solve these problems, this paper proposes a control algorithm which consists of Leader-Follower structure, consensus algorithm and artificial force based on artificial potential field. For the control algorithm to make agents achieve formation in a decentralized cooperative way, we derive the condition concerning the control gain to ensure stability. In addition, by comparing the amount of energy, we design conditions that ensure collision avoidance between agents, collision avoidance with obstacles, and distance between agents, and also design potential functions that satisfy the conditions. The validity of the control algorithm proposed in this paper is verified by numerical simulations.
KW - Consensus
KW - Formation Control
KW - Multi-agent System (MAS)
KW - Obstacle Avoidance
KW - Potential Field
UR - http://www.scopus.com/inward/record.url?scp=85044163112&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85044163112&partnerID=8YFLogxK
U2 - 10.23919/SICE.2017.8105616
DO - 10.23919/SICE.2017.8105616
M3 - Conference contribution
AN - SCOPUS:85044163112
T3 - 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
SP - 446
EP - 451
BT - 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
Y2 - 19 September 2017 through 22 September 2017
ER -