Time scale analysis and synthesis for model predictive control

Yan Zhang, Hoa Nguyen, D. Subbaram Naidu, Yun Zou, Chenxiao Cai

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

This paper presents time scale analysis and synthesis (control)methodology forModel Predictive Control (MPC). In thismethod, a higher-order plant with a two-time (slow and fast) scale character is analyzed (decoupled) into low-order slow and fast subsystems and sub-augmented systems. Then slow and fast subcontrollers based on MPC method are synthesized (designed) separately and a composite MPC is obtained. The methodology is illustrated for a high-order Wind Energy Conversion Systems (WECS) with Permanent Magnet Synchronous Generators (PMSG). The results show that the performance of the system with composite MPC is very close to that of the MPC of the original high-order system showing the superiority of the proposed method in terms of separation of dynamics, simplicity in designing model predictive controllers and reduced computational effort.

Original languageEnglish (US)
Pages (from-to)130-139
Number of pages10
JournalWSEAS Transactions on Systems and Control
Volume9
Issue number1
StatePublished - 2014
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2014, World Scientific and Engineering Academy and Society. All rights reserved.

Keywords

  • Model predictive control
  • Order reduction
  • Singular perturbations
  • Time scales
  • Wind energy conversion systems

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