Modelling and Dynamic Tracking Control of Industrial Vehicles with Tractor-trailer Structure

被引:0
|
作者
Zhao, Hongchao [1 ,2 ]
Liu, Zhe [1 ,2 ]
Li, Zhiqiang [1 ,2 ]
Zhou, Shunbo [1 ,2 ]
Chen, Wen [1 ,2 ]
Suo, Chuanzhe [1 ,2 ]
Liu, Yun-Hui [1 ,2 ]
机构
[1] Chinese Univ Hong Kong, T Stone Robot Inst, Shatin, Hong Kong, Peoples R China
[2] Chinese Univ Hong Kong, Dept Mech & Automat Engn, Shatin, Hong Kong, Peoples R China
来源
2019 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) | 2019年
关键词
MOBILE ROBOTS; CONTROLLABILITY; SYSTEM;
D O I
10.1109/iros40897.2019.8967986
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Existing works on control of tractor-trailers systems only consider the kinematics model without taking dynamics into account. Also, most of them treat the issue as a pure control theory problem whose solutions are difficult to implement. This paper presents a trajectory tracking control approach for a full-scale industrial tractor-trailers vehicle composed of a car-like tractor and arbitrary number of passive full trailers. To deal with dynamic effects of trailing units, a force sensor is innovatively installed at the connection between the tractor and the first trailer to measure the forces acting on the tractor. The tractor's dynamic model that explicitly accounts for the measured forces is derived. A tracking controller that compensates the pulling/pushing forces in real time and simultaneously drives the system onto desired trajectories is proposed. The propulsion map between throttle opening and the propulsion force is proposed to be modeled with a fifth-order polynomial. The parameters are estimated by fitting experimental data, in order to provide accurate driving force. Stability of the control algorithm is rigorously proved by Lyapunov methods. Experiments of full-size vehicles are conducted to validate the performance of the control approach.
引用
收藏
页码:2905 / 2910
页数:6
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