Reduced Order LQG Control Design for Infinite Dimensional Port Hamiltonian Systems

• 成果类型: Article
• 署名作者: Wu, Yongxin; Hamroun, Boussad; Le Gorrec, Yann; Maschke, Bernhard
• 署名单位: Universite Marie et Louis Pasteur; Universite Marie et Louis Pasteur; Centre National de la Recherche Scientifique (CNRS); CNRS - Institute for Engineering & Systems Sciences (INSIS); Universite Claude Bernard Lyon 1
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2020.2997373
• 发表日期: 2021
• 页码: 865-871
• 关键词: Controller reduction; infinite dimensional systems; linear quadratic Gaussian (LQG) method; Model reduction; port Hamiltonian systems (PHS)

摘要

This article proposes a method that combines linear quadratic Gaussian (LQG) control design and structure preserving model reduction for the reduced order control of infinite dimensional port Hamiltonian systems (IDPHS).For that purpose the weighting operators used in LQG control design are chosen such that the resulting dynamic controller is passive and the closed-loop system equivalent to control by interconnection. The method of Petrov-Galerkin is then used to approximate the balanced realization of the IDPHS by a finite dimensional port Hamiltonian system and to provide the associated reduced order LQG controller. The main advantages of the proposed method are that, first, both control and reduction are driven by closed-loop performances and that, second, due to the passivity properties of the controller the closed-loop stability is guaranteed when the finite dimensional controller is applied to the infinite dimensional system.