• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Bin, Yang (Bin, Yang.) | Shim, Taehyun (Shim, Taehyun.)

Indexed by:

EI Scopus

Abstract:

In this paper, Lyapunov theory is used firstly to analyze the motion characteristics of the tractor-trailer system. Then, a novel mixed logical dynamics (MLD) model is proposed to describe the kinematic of the tractor-trailer system. For the resulting MLD model, an extended cost function with 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. In view of this problem, an explicit model predictive control (MPC) controller is designed, by employing the multi-parametric mixed-integer quadratic programming (mp-MIQP) technique. Finally, the controller performance is evaluated through simulation, and achieves the asymptotical stability, accurate tracking feature and the constraint fulfillment properties, even in the case of the nonsmooth tracking reference path. © 2012 IEEE.

Keyword:

Integer programming Model predictive control Tractors (agricultural) Cost functions Controllers Intelligent control Predictive control systems Quadratic programming Number theory Tractors (truck) Truck trailers

Author Community:

  • [ 1 ] [Bin, Yang]College of Environmental and Energy Engineering, Beijing University of Technology, Chaoyang District, Beijing 100124, China
  • [ 2 ] [Shim, Taehyun]Department of Mechanical Engineering, University of Michigan-Dearborn, Dearborn, MI 48128, United States

Reprint Author's Address:

Show more details

Related Keywords:

Related Article:

Source :

Year: 2012

Page: 2165-2170

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 11

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

Online/Total:427/10651180
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.