Robust data-driven fixed-order controller synthesis: Model matching approach

Das E., BAŞLAMIŞLI S. Ç.

IET CONTROL THEORY AND APPLICATIONS, vol.15, no.2, pp.179-194, 2021 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 15 Issue: 2
  • Publication Date: 2021
  • Doi Number: 10.1049/cth2.12024
  • Journal Name: IET CONTROL THEORY AND APPLICATIONS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, zbMATH, Directory of Open Access Journals, Civil Engineering Abstracts
  • Page Numbers: pp.179-194
  • Hacettepe University Affiliated: Yes

Abstract

In this paper, a new data-driven fixed-order H infinity controller design method based on convex optimisation is proposed for linear single input single output systems. The proposed non-parametric frequency domain data based approach renders the need for a mathematical model of the controlled plant unnecessary. First, a semi-definite convex optimisation algorithm is proposed to simultaneously compute a minimal uncertainty model and an optimal nominal model from the experimental data. Then the H infinity robust performance condition, control input constraints and the closed-loop model matching objective are described by convex functions with respect to the parameters of the controller. The usefulness and efficiency of the proposed approach are verified experimentally with application to the control of a thrust vector control system.