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

Author:

Yu, Pan (Yu, Pan.) | Zhao, Quan (Zhao, Quan.) | Liu, Chunfang (Liu, Chunfang.) | Zhao, Henan (Zhao, Henan.)

Indexed by:

EI Scopus

Abstract:

A multi-constraint performance optimization design method is developed for tracking control systems with unknown disturbances, which guarantees a prescribed finite-frequency H∞ disturbance-rejection performance and takes into account the physical constraint of actuators. First, a generalized equivalent input disturbance (GEID) estimator is adopted for more design degree of freedom. By using the Lyapunov stability theory and generalized Kalman-Yakubovich-Popov (KYP) lemma, a sufficient condition is derived for system design, which takes into account the stability and performance of the closed-loop system and the control input constraint. In addition, by optimizing the parameters of the controller, the control performance is greatly improved. Finally, a case study of a pantograph-catenary system is used to verify the effectiveness of the developed method. © 2023 Technical Committee on Control Theory, Chinese Association of Automation.

Keyword:

Disturbance rejection Frequency domain analysis Closed loop control systems Degrees of freedom (mechanics) Navigation

Author Community:

  • [ 1 ] [Yu, Pan]Beijing Institute of Artificial Intelligence, Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Zhao, Quan]Beijing Institute of Artificial Intelligence, Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Liu, Chunfang]Beijing Institute of Artificial Intelligence, Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Zhao, Henan]Beijing Institute of Artificial Intelligence, Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China

Reprint Author's Address:

Email:

Show more details

Related Keywords:

Related Article:

Source :

ISSN: 1934-1768

Year: 2023

Volume: 2023-July

Page: 2201-2206

Language: English

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: 1

Affiliated Colleges:

Online/Total:753/5431216
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.