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Author:

Bin, Yang (Bin, Yang.) | Shim, Taehyun (Shim, Taehyun.) | Feng, Nenglian (Feng, Nenglian.) | Zhou, Dashen (Zhou, Dashen.)

Indexed by:

CPCI-S

Abstract:

In order to implement the accurate path tracking control for the backing-up tractor-trailer system with off-axle hitching, a new control framework relying on mixed logical dynamics (MLD) hybrid modeling and model predictive control (MPC) method is presented in this paper. At first, a MLD hybrid model is proposed to describe the open-loop kinematic of the tractor-trailer system. For the resulting MLD model, an extended cost function defined as a quadratic form is addressed, in which the steering angle of the tractor, as well as two errors combining the position and the orientation of the trailer are considered. To minimize the tracking error of the trailer, and smooth the steering angle behavior of the tractor, an equivalent linear quadratic tracking problem is presented. Then, a receding horizon finite-time optimal controller is designed, by employing multi-parametric mixed-integer quadratic programming (mp-MIQP) technique. Finally, the controller performance is evaluated through simulation, and achieves closed-loop system asymptotical stability, accurate tracking performance and constraint fulfillment properties, even under the case of non-smooth tracking reference path.

Keyword:

Model Predictive Control Mixed Logical Dynamics Path Tracking Tractor-Trailer System

Author Community:

  • [ 1 ] [Bin, Yang]Beijing Univ Technol, Coll Environm & Energy Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Feng, Nenglian]Beijing Univ Technol, Coll Environm & Energy Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Zhou, Dashen]Beijing Univ Technol, Coll Environm & Energy Engn, Beijing 100124, Peoples R China
  • [ 4 ] [Shim, Taehyun]Univ Michigan Dearborn, Dept Mech Engn, Dearborn, MI 48128 USA

Reprint Author's Address:

  • [Bin, Yang]Beijing Univ Technol, Coll Environm & Energy Engn, Beijing 100124, Peoples R China

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Source :

PROCEEDINGS OF THE 2012 24TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC)

ISSN: 1948-9439

Year: 2012

Page: 198-203

Language: English

Cited Count:

WoS CC Cited Count: 8

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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