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

Autor:	Meng, Huan
Rok vydání:	2022
Předmět:	Computer Science - Robotics
Druh dokumentu:	Working Paper
Popis:	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. Comment: This paper exists a lot of mistakes. Therefore, I want to withdraw it
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2205.08152 Zobrazit plný text záznamu View this record from Arxiv