Study of the aircraft conflict resolution method based on modified particle swarm optimization

• Main Authors: Ran ZHEN, Chao SI, Xueli WU, Jianhua ZHANG, Xiaojing WU
• Format: Article
• Language: zho
• Published: Hebei University of Science and Technology 2016-10-01
• Series: Journal of Hebei University of Science and Technology
• Subjects: algorithm theories; aircraft; conflict detection; conflict resolution; particle swarm optimization
• Online Access: http://xuebao.hebust.edu.cn/hbkjdx/ch/reader/create_pdf.aspx?file_no=b201605010&flag=1&journal_

Conflict resolution requires the aircraft to adopt an effective method to meet the constraints of the working space. Aiming at the problem of conflict resolution in multi obstacle environment, a novelty algorithm based on particle swarm optimization (PSO) is proposed for conflict resolution which meets the mentioned constrains. The proposed DARPSO is similar to PSO with two modifications: firstly, it takes into account the obstacle avoidance; secondly, it has a mechanism to escape from local optima. Various experimental results obtained in simulations show that the proposed DARPSO is much more superior than PSO. The DARPSO is applied to the process of conflict resolution of aircrafts, and it is simulated. The simulation results show that the proposed algorithm can avoid the obstacles and complete conflict resolution effectively.