Title: Takagi-Sugeno fuzzy observer and predictive control for a diesel engine air path

Authors: Lamia Ben Hamouda; Mounir Ayadi; Nicolas Langlois

Addresses: Laboratoire de Recherche en Automatique (LA.R.A.), Ecole Nationale d'Ingénieurs de Tunis (ENIT), Université Tunis El Manar, BP 37 le Belvédère, Tunisia; Institut de Recherche en Systèmes Electroniques Embarqués (IRSEEM), BP 10024 Avenue Galilée, France ' Laboratoire de Recherche en Automatique (LA.R.A.), Ecole Nationale d'Ingénieurs de Tunis (ENIT), Université Tunis El Manar, BP 37 le Belvédère, Tunisia ' Institut de Recherche en Systèmes Electroniques Embarqués (IRSEEM), BP 10024 Avenue Galilée, France

Abstract: This paper focuses on a fuzzy predictive control algorithm (FPCA) for a diesel engine air path (DEAP) system subject to a leakage. A Takagi-Sugeno (T-S) fuzzy model describes the behaviour of the healthy nonlinear system. FPCA is designed to accommodate and tolerate the unexpected intake leakages. Model predictive control (MPC) solves an optimisation problem to achieve desired set points and control objectives. T-S observers provide an L2 norm estimation of system state vector and leakages. Observers' gains are obtained by solving a linear matrix inequalities (LMIs) derived from the Lyapunov theory. The validity of the proposed fault tolerant control (FTC) strategy is illustrated through an application to a DEAP system.

Keywords: model predictive control; MPC; T-S observers; linear matrix inequalities; LMIs; diesel engine air path; DEAP; Takagi-Sugeno; fuzzy observers; fuzzy control; intake leakages; fuzzy modelling; nonlinear systems; Lyapunov theory; fault tolerant control; FTC strategy; fault tolerance.

DOI: 10.1504/IJAAC.2015.073473

International Journal of Automation and Control, 2015 Vol.9 No.4, pp.283 - 302

Received: 24 Dec 2014
Accepted: 25 May 2015

Published online: 09 Dec 2015 *

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