Distributed formation control for multiple non-holonomic wheeled mobile robots with velocity constraint by using improved data-driven iterative learning

2021 ◽  
Vol 395 ◽  
pp. 125829
Author(s):  
Rui Hou ◽  
Lizhi Cui ◽  
Xuhui Bu ◽  
Junqi Yang
2021 ◽  
Vol 50 (3) ◽  
pp. 588-600
Author(s):  
Xuhui Bu ◽  
Rui Hou ◽  
Yanling Yin ◽  
Wei Yu ◽  
Jiahao Geng

In this paper, we studied the robust formation control issue of multiple non-holonomic wheel mobile robots (WMRs) with nonlinear characteristics and considered the channel noise and switching communication topology, a distributed iterative learning formation control (DILFC) scheme using information interaction between robots is proposed. Firstly, the formation tracking error with consensus information is constructed, and the relationship between formation error and channel noise is obtained from the nonlinear system model of mobile robot. Next, the controller is designed based on the prediction and the current learning term between robots, and the switching topology is introduced into the formation algorithm in the form of piecewise function. The sufficient condition and norm upper bound for the formation tracking stability of the system are obtained by theoretical analysis. The results show that although the channel noise accumulates in both the time domain and iteration domain, the validity of formation tracking can be guaranteed by adjusting the sampling time of the system. To illustrate the effectiveness of the proposed scheme, numerical simulation results of a group of WMRs are presented.


2016 ◽  
Vol 173 ◽  
pp. 1485-1494 ◽  
Author(s):  
Zhaoxia Peng ◽  
Shichun Yang ◽  
Guoguang Wen ◽  
Ahmed Rahmani ◽  
Yongguang Yu

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