Earticle

초록

영어

In this paper, the iterative learning control (ILC) scheme combined with the backstepping controller is applied to the Wiener system, which is a typical nonlinear and non-Lipschitz one. The ILC scheme as a feed forward control can improve the convergence speed, and the perfect tracking can be achieved as the system is repeatable. The backstepping control is a feedback control which improves the robustness of the control system, especially for the existence of non-repeatable noises. The backstepping part also guarantees the asymptotic stability, which further improves the convergence speed. The design of backstepping controller is based on the error information in the current control process, and the Lyapunov method. The convergence condition is achieved and the convergence speed is analyzed as well. It can be seen that the combination of ILC scheme and backstepping method can improve the system performance to a large extant. Numerical simulations validate the above conclusions.

목차

Abstract
 1. Introduction
 2. Preliminaries
 3. Design of Backstepping Controller
 4. Convergence Analysis
 5. Simulation Results
  5.1. Backstepping Control
  5.2. ILC Scheme
  5.3. ILC Scheme Combined with Backstepping Control
 6. Conclusions
 References

키워드

저자

• Lun Zhai [ School of Control Science and Engineering, Shandong University, Jinan 250061, PR China ]
• Guohui Tian [ School of Control Science and Engineering, Shandong University, Jinan 250061, PR China ]
• Yan Li [ School of Control Science and Engineering, Shandong University, Jinan 250061, PR China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605