Distributed formation control for multiple quadrotor UAVs under Markovian switching topologies with partially unknown transition rates. Issue 11 (July 2019)

• Record Type: Journal Article
• Authors: Zhou, Zhen; Wang, Hongbin; Wang, Yueling; Xue, Xiaojun; Zhang, Mingquan
• Is Part Of: Journal of the Franklin Institute. Volume 356:Issue 11(2019)
• Page Start: 5706
• Page End: 5728
• Publication Date: 2019-07
• Subjects: Science -- Periodicals; Technology -- Periodicals; Patents -- United States -- Periodicals; 505
• DOI: 10.1016/j.jfranklin.2018.11.051
• Languages: English
• ISSNs: 0016-0032

Abstract

Abstract: This paper addresses distributed formation control for a group of quadrotor unmanned aerial vehicles (UAVs) under Markovian switching topologies with partially unknown transition rates. Instead of the general stochastic topology, the graph is governed by a set of Markov chains to the edges, which can recover the traditional Markovian switching topologies in line with the practical communication network. Extended high gain observers (EHGOs) are constructed with a two-time-scale format to deal with the issue of nonlinear input coefficients, so that there could be a higher estimation precision of the system uncertainties. To impel multiple quadrotor UAVs to achieve a predesigned formation shape, a modified integral sliding mode (ISM) control protocol is proposed here with a multi-time-scale structure, which allows independent analysis of the dynamics in each time scale. The stability proof for the system state space origin is derived from the singular perturbation method and Lyapunov stability theory. In addition, the introduced ISM controller can deal with the time varying desired references with the bounded accelerations and is robust to the disturbances. Finally, simulations on six quadrotor UAVs are given to verify the effectiveness of the theoretical results.