Abstract
AbstractThis paper presents a method for planning time-optimal trajectories for a formation of multiple nonholonomic (heavy duty) platforms (HDPs) to cooperatively transport an object to a specified pose. The first part addresses the mobile platforms themselves while the second part provides a trajectory planning approach derived from the well-known virtual leader approach. In order to ensure proper transport of the shared payload, the vehicles are modeled individually, resulting in a formation control problem. The goal of the optimization process is to minimize a cost function that balances time optimality, smooth control signals, and formation rigidity. The optimal control problem (OCP) takes into account the kinematics of the vehicles as well as their physical limitations. It is solved by using a multiple shooting method, which yields the desired trajectories for all vehicles while ensuring smooth control signals. The paper includes optimization results for several scenarios involving two and three HDPs together with various target poses, demonstrating the effectiveness of the proposed method.
Funder
Johannes Kepler University Linz
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Reference16 articles.
1. Oh K-K, Park M-C, Ahn H-S (2015) A survey of multi-agent formation control. Automatica 53:424–440
2. Lin Z, Ding W, Yan G, Yu C, Giua A (2013) Leader–follower formation via complex laplacian. Automatica 49(6):1900–1906
3. Rahimi R, Abdollahi F, Naqshi K (2014) Time-varying formation control of a collaborative heterogeneous multi agent system. Rob Auton Syst 62(12):1799–1805
4. Han T, Guan Z-H, Chi M, Hu B, Li T, Zhang X-H (2017) Multi-formation control of nonlinear leader-following multi-agent systems. ISA Trans 69:140–147
5. Michieletto G, Cenedese A, Franchi A (2016) Bearing rigidity theory in se (3). 2016 IEEE 55th Conference on Decision and Control (CDC). IEEE, pp 5950–5955