周雅夫

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:天津大学

学位:硕士

所在单位:机械工程学院

学科:车辆工程. 电机与电器

办公地点:综合2号实验楼417B

联系方式:dlzyf@dlut.edu.cn

电子邮箱:dlzyf@dlut.edu.cn

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MPC motion planning-based sliding mode control for underactuated WPS vehicle via Olfati transformation

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论文类型:期刊论文

发表时间:2018-03-06

发表刊物:IET CONTROL THEORY AND APPLICATIONS

收录刊物:SCIE、EI

卷号:12

期号:4

页面范围:495-503

ISSN号:1751-8644

摘要:This study presents a model predictive control (MPC) motion planning-based sliding mode control (SMC) for a wheeled pendular-like suspension (WPS) vehicle by using Olfati transformation. To improve the tracking efficiency and enhance the control performance of the vehicle system, the mobile platform is required to follow the reference trajectory fast enough, while the swing of the suspension needs to be within an acceptable domain. To achieve these multi-objectives, a two-step design strategy consisting of a motion planning stage and a velocity tracking control design stage is proposed to control such an underactuated system. Specifically, a novel MPC, which satisfies various physical constraints of the WPS vehicle, is presented by which the nonholonomic constraint is dealt with as well. The SMC is then constructed in the second step to make the vehicle track the desired velocities generated by motion planning. As far as the steering subsystem is concerned, the global terminal SMC is used to ensure the fast convergence of the steering tracking; as for the forward subsystem, a composite sliding mode manifold is successfully introduced thanks to the underactuated dynamics decoupling by Olfati transformation. The numerical simulation validates the effectiveness of proposed control approaches even in the presence of sophisticated disturbance and physical limitations.