NDLI: Fuzzy fault tolerant predictive control for a diesel engine air path

Content Provider	Springer Nature Link
Author	Hamouda, Lamia Ben Ayadi, Mounir Langlois, Nicolas
Copyright Year	2016
Abstract	This paper proposes a Fuzzy Fault Tolerant Predictive Control (FFTPC) with integral action method for a class of nonlinear systems. The Takagi-Sugeno (T-S) fuzzy approach is introduced as a modelling technique in order to consider the active control methods adapted to linear models. The proposed control strategy is based on a combination between Parallel Distributed Compensation (PDC) control law and Model Predictive Control (MPC) where the T-S fuzzy aspect uses the Unmeasurable Premise Variables (UPV). A T-S fuzzy observer provides an L2 norm estimation of system state vector and faults. The controller and observer gains are obtained by solving 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 Diesel Engine Air Path (DEAP) system.
Starting Page	443
Ending Page	451
Page Count	9
File Format	PDF
ISSN	15986446
Journal	International Journal of Control, Automation and Systems
Volume Number	14
Issue Number	2
e-ISSN	20054092
Language	English
Publisher	Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers
Publisher Date	2016-04-15
Publisher Place	Bucheon, Seoul
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Diesel engine air path FTC LMI MPC T-S fuzzy observer Control, Robotics, Mechatronics
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Computer Science Applications

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