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Author:

Chen, N. (Chen, N..) | Bin, Y. (Bin, Y..) | Shim, T. (Shim, T..) | Feng, N. (Feng, N..)

Indexed by:

Scopus PKU CSCD

Abstract:

On account of the backing-up tractor-trailer system with an off-axle connection, a mixed logical dynamics (MLD) approach and a receding horizon control (RHC) method have been addressed respectively for the purpose of modeling and control of such a system. At first, Lyapunov theory was used to analyze the motion characteristics of the tractor-trailer system. Then, MLD approach was proposed to describe the kinematics of the tractor-trailer system. For the resulting MLD model, an extended cost function with quadratic form was addressed. To minimize the tracking error of the trailer, and smooth the behavior of the steering angle, an equivalent linear quadratic tracking problem was presented. In view of this problem, an explicit RHC controller was designed considering a look-ahead path information with finite horizon, by employing the multi-parametric mixed-integer quadratic programming (mp-MIQP) technique. Finally, the controller was evaluated through simulation, achieving a desirable performance, even under the tracking of a non-smooth reference path.

Keyword:

Mixed ogical dynamics; Path tracking; Receding horizon control; Tractor-trailer system

Author Community:

  • [ 1 ] [Chen, N.]Department of Automotive Engineering, Tsinghua University, Beijing 100084, China
  • [ 2 ] [Bin, Y.]College of Environmental and Energy Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Shim, T.]Department of Mechanical Engineering, University of Michigan-Dearborn, Dearborn, MI 48128, United States
  • [ 4 ] [Feng, N.]College of Environmental and Energy Engineering, Beijing University of Technology, Beijing 100124, China

Reprint Author's Address:

  • [Chen, N.]Department of Automotive Engineering, Tsinghua University, Beijing 100084, China

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Source :

Journal of University of Science and Technology of China

ISSN: 0253-2778

Year: 2012

Issue: 7

Volume: 42

Page: 517-526

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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