Enregistré dans:
Détails bibliographiques
Auteurs principaux: Liu, Yifan, Wang, Yixu, Guan, Xiaoqing, Hu, Tao, Zhang, Ziang, Jin, Song, Wang, You, Hao, Jie, Li, Guang
Format: Preprint
Publié: 2022
Sujets:
Accès en ligne:https://arxiv.org/abs/2205.14181
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866929559417389056
author Liu, Yifan
Wang, Yixu
Guan, Xiaoqing
Hu, Tao
Zhang, Ziang
Jin, Song
Wang, You
Hao, Jie
Li, Guang
author_facet Liu, Yifan
Wang, Yixu
Guan, Xiaoqing
Hu, Tao
Zhang, Ziang
Jin, Song
Wang, You
Hao, Jie
Li, Guang
contents Spherical robot is a nonlinear, nonholonomic and unstable system which increases the difficulty of the direction and trajectory tracking problem. In this study, we propose a new direction controller HTSMC, an instruction planning controller MPC, and a trajectory tracking framework MHH. The HTSMC is designed by integrating a fast terminal algorithm, a hierarchical method, the motion features of a spherical robot, and its dynamics. In addition, the new direction controller has an excellent control effect with a quick response speed and strong stability. MPC can obtain optimal commands that are then transmitted to the velocity and direction controller. Since the two torque controllers in MHH are all Lyapunov-based sliding mode controllers, the MHH framework may achieve optimal control performance while assuring stability. Finally, the two controllers eliminate the requirement for MPC's stability and dynamic constraints. Finally, hardware experiments demonstrate the efficacy of the HTSMC, MPC, and MHH.
format Preprint
id arxiv_https___arxiv_org_abs_2205_14181
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Direction and Trajectory Tracking Control for Nonholonomic Spherical Robot by Combining Sliding Mode Controller and Model Prediction Controller
Liu, Yifan
Wang, Yixu
Guan, Xiaoqing
Hu, Tao
Zhang, Ziang
Jin, Song
Wang, You
Hao, Jie
Li, Guang
Robotics
Spherical robot is a nonlinear, nonholonomic and unstable system which increases the difficulty of the direction and trajectory tracking problem. In this study, we propose a new direction controller HTSMC, an instruction planning controller MPC, and a trajectory tracking framework MHH. The HTSMC is designed by integrating a fast terminal algorithm, a hierarchical method, the motion features of a spherical robot, and its dynamics. In addition, the new direction controller has an excellent control effect with a quick response speed and strong stability. MPC can obtain optimal commands that are then transmitted to the velocity and direction controller. Since the two torque controllers in MHH are all Lyapunov-based sliding mode controllers, the MHH framework may achieve optimal control performance while assuring stability. Finally, the two controllers eliminate the requirement for MPC's stability and dynamic constraints. Finally, hardware experiments demonstrate the efficacy of the HTSMC, MPC, and MHH.
title Direction and Trajectory Tracking Control for Nonholonomic Spherical Robot by Combining Sliding Mode Controller and Model Prediction Controller
topic Robotics
url https://arxiv.org/abs/2205.14181