Fuzzy fault tolerant predictive control for a diesel engine air path

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 con...

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Bibliographic Details
Published in:International journal of control, automation, and systems 2016, Automation, and Systems, 14(2), , pp.443-451
Main Authors: Hamouda, Lamia Ben, Ayadi, Mounir, Langlois, Nicolas
Format: Article
Language:English
Subjects:
Active control
Automatic
Control
Control algorithms
Control systems
Control theory
Diesel engines
Energy consumption
Engineering
Engineering Sciences
Fault tolerance
Fault tolerant
Fuzzy
Fuzzy logic
Mathematical analysis
Mechatronics
Nonlinear systems
Predictive control
Regular Papers
Robotics
Sensors
Strategy
Studies
Turbines
Variables
제어계측공학
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Summary: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.
ISSN:1598-6446
2005-4092
DOI:10.1007/s12555-014-0533-2