个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:哈尔滨工业大学
学位:博士
所在单位:机械工程学院
学科:车辆工程. 控制理论与控制工程. 机械电子工程
办公地点:大连理工大学机械工程学院知方楼8017
电子邮箱:yueming@dlut.edu.cn
An Efficient Model Predictive Control for Trajectory Tracking of Wheeled Inverted Pendulum Vehicles with Various Physical Constraints
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论文类型:期刊论文
发表时间:2018-02-01
发表刊物:INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
收录刊物:SCIE、EI
卷号:16
期号:1
页面范围:265-274
ISSN号:1598-6446
关键字:Feedback linearization; model predictive control; physical constraint; trajectory tracking; WIP vehicle
摘要:This study presents a robust model predictive control (MPC) strategy to handle the trajectory tracking problem for a underactuated two-wheeled inverted pendulum (WIP) vehicle, in addition to taking various physical constraints into account. To begin with, a saturated trajectory generator is proposed to produce the desired velocities by which all posture tracking errors converge to the compact sets as well as the saturation of velocities being guaranteed. In addition, a MPC approach is put up forward after the approximate feedback linearization is performed to decrease the burden of computation and increase the realtime performance of the control system. Particularly, various physical constraints can be readily assured by the presented MPC method although the equilibrium of WIP vehicle is unstable. Meanwhile, to validate the robustness and availability of the proposed approach, initial errors, pulse disturbance and random noise are introduced to test the control performance of the closed-loop system in the simulation environment. The results from both theoretical analysis and simulation show that the proposed control strategy are effective and feasible for practical implementation.