A method of multiple model adaptive control of affine systems and its application to aero-engines |
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| Institution: | 1. School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, China;2. Key Laboratory of Intelligent Control and Optimization for Industrial Equipment, Ministry of Education, Dalian University of Technology, Dalian 116024, China;1. School of Automation, Central South University, Changsha 410083, China;2. Peng Cheng Laboratory, Shenzhen 518000, China;3. Texas A&M University at Qatar, Doha PO Box 23874, Qatar;1. Universidade Tecnológica Federal do Paraná, UTFPR, Av. Alberto Carazzai 1640, Cornelio Procópio 86300-000, PR, Brazil;2. Universitat Politècnica de Catalunya Barcelona Tech, Escola d’Enginyeria de Barcelona Est, CoDAlab (Control, Dynamics and Applications), Carrer d’Eduard Maristany, 10-14, Barcelona 08930, Spain |
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| Abstract: | This paper investigates the multiple model adaptive control problem of affine systems with unknown parameters. Firstly, an adaptive controller with resettable parameters and an adaptive law with projection function are designed to ensure the asymptotic tracking for the reference system and the boundedness of parameters. Secondly, a transformation of system is given to enable a finite-time parameter estimator to calculate the uncertain parameters in the system matrix and the affine item simultaneously. Then, a novel performance index to describe the error between the controlled plant and the identification model is given to orchestrate switchings among identification models aiming to choose the best one. Next, the sufficient condition of the asymptotic convergence for the system error is given. Finally, all designs are evaluated in a hardware-in-the-loop simulation platform of an aero-engine control system and compared with three other methods, the effectiveness and superiority are verified. |
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