Earticle

초록

영어

This paper investigates the tracking control problem of high-speed trains, and a direct robust adaptive control strategy is designed to deal with the uncertainties and time-varying properties occurring in the train dynamics. The longitudinal dynamics of the train is a typical uncertain nonlinear presentation, whose parameters, especially the coefficients of the resistance cannot be acquired precisely and varying due to the complexity running conditions, and the impacts of these uncertainties are becoming even more serious as the speed increases. Although adaptive algorithm can improve a controller performance with parameterized uncertainties where the plant parameters are unknown but constant for all time, the stability properties can no longer be guaranteed when the plant parameters are varying with time even the speed of the variations are sufficiently small. In this paper, a traditional adaptive controller is designed based on the time-invariant assumption, and then, a kind of robust adaptive law is designed to improve the robustness when the plant parameters are varying slowly with time. Both the rigorous analysis and the simulation results are all verified the effectiveness of the proposed control scheme.

목차

Abstract
 1. Introduction
 2. Dynamic Model of High-speed Train
 3. Traditional Adaptive Controller
  3.1. Design procedure
  3.2. Numerical simulation
 4. Robust modification
  4.1. Impacts of the time-varying parameters
  4.2. Robust adaptive law
  4.3. Numerical simulation
 5. Conclusion
 References

키워드

저자

• HengYu Luo [ State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University ]
• HongZe Xu [ State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605