2021/03/12 by Hossein Rastgoftar, Rastgoftar, Hossein · 2 citations
Computer Science · Engineering · #Aerospace Engineering and Control Systems #Distributed Control Multi-Agent Systems #FOS: Mathematics #Guidance and Control Systems #Optimization and Control (math.OC)
paper · pdf · doi:10.48550/arxiv.2103.07565
openalex publication_date 2021/03/12 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper offers an algorithmic approach to plan continuum deformation of a multi-quadcopter system (MQS) in an obstacle-laden environment. We treat the MQS as finite number of particles of a deformable body coordinating under a homogeneous transformation. In this context, we define the MQS homogeneous deformation coordination as a decentralized leader-follower problem, and integrate the principles of continuum mechanics, A-Star search method, and optimal control to safety and optimally plan MQS continuum deformation coordination. In particular, we apply the principles of continuum mechanics to obtain the safety constraints, use the A-Star search method to assign the intermediate configurations of the leaders by minimizing the travel distance of the MQS, and determine the leaders' optimal trajectories by solving a constrained optimal control problem. The optimal planning of the continuum deformation coordination is acquired by the quadcopter team in a decentralized fashion through local communication.