1. Robust structural feedback linearization based on the nonlinearities rejection
- Author
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Moises Bonilla, Vadim Azhmyakov, Michel Malabre, L. A. Blas, Sergio Salazar, Departamento de Control Automático (CINVESTAV-IPN), Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV-IPN), Universidad de Medellin, Commande (Commande), Laboratoire des Sciences du Numérique de Nantes (LS2N), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), and Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)
- Subjects
Scheme (programming language) ,0209 industrial biotechnology ,Computer Networks and Communications ,Computer science ,nonlinearities rejection ,02 engineering and technology ,[SPI.AUTO]Engineering Sciences [physics]/Automatic ,Attitude control ,020901 industrial engineering & automation ,Control theory ,Linearization ,Simple (abstract algebra) ,0202 electrical engineering, electronic engineering, information engineering ,Feedback linearization ,computer.programming_language ,Class (computer programming) ,Applied Mathematics ,nonlinear dynamic systems ,System dynamics ,Control and Systems Engineering ,Signal Processing ,020201 artificial intelligence & image processing ,Robust control ,computer ,failure reconstruction ,non-standard feedback linearization - Abstract
In this paper, we consider a class of affine control systems and propose a new structural feedback linearization technique. This relatively simple approach involves a generic linear-type control scheme and follows the classic failure detection methodology. The robust linearization idea proposed in this contribution makes it possible an effective rejection of nonlinearities that belong to a specific class of functions. The nonlinearities under consideration are interpreted here as specific signals that affect the initially given systems dynamics. The implementability and efficiency of the proposed robust control methodology is illustrated via the attitude control of a Planar Vertical Take Off Landing (PVTOL) system.
- Published
- 2020
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