Decentralized Adaptive Dynamic Surface Control for Large-scale Multi-machine Power Systems with Unknown Time Delay

Xiuyu Zhang, Guoqiang Zhu, Xinkai Chen, Xiaoming Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A decentralized adaptive quantized dynamic surface control scheme is proposed for the large scale multi-machine power systems with static var compensator (SVC) and the unknown time delays. The 'explosion of complexity' problem in backstepping method, the uncertainties and complexities introduced by SVC are overcome. By estimating the weight vector norm of neural networks, the number of the parameters need to be estimated in each step is greatly reduces. It is proved that all the signals in the closed-loop system are ultimately uniformly bounded. Simulation results illustrate the validity of the proposed control scheme.

Original languageEnglish
Title of host publicationICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages207-212
Number of pages6
ISBN (Electronic)9781538670668
DOIs
Publication statusPublished - 2019 Jan 11
Event3rd IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2018 - Singapore, Singapore
Duration: 2018 Jul 182018 Jul 20

Publication series

NameICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics

Conference

Conference3rd IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2018
CountrySingapore
CitySingapore
Period18/7/1818/7/20

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering
  • Control and Optimization

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