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Dual-mode robust MPC for the tracking control of non-holonomoic mobile robots

2022-05-17 07:43:20
Huan Meng
arXiv_RO
       
Abstract

In this paper, a novel dual-mode robust model predictive control (MPC) approach is proposed for solving the tracking control problem of non-holonomoic mobile robots with additive bounded disturbance. To reduce the negative effect of disturbance and drive the state of real system closer to the one of nominal system , a robust reference signal is introduced into the cost function of MPC. In order to reduced the computation burden caused by online optimization of MPC and further improve the tracking accuracy, a dual-mode control strucuture consisting of the robust MPC and the local nonlinear robust control is developed, in which the local nonlinear robust control law is applied within a specified terminal region. Finally, simulation results on the non-holonomic mobile robot are presented to show the validity of the proposed control approach.

Abstract (translated)

URL

https://arxiv.org/abs/2205.08152

PDF

https://arxiv.org/pdf/2205.08152.pdf

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