Authors:
S. García-Nieto
;
J. Salcedo
;
J. M. Herrero
and
C. Ramos
Affiliation:
Universidad Politécnica de Valencia, Spain
Keyword(s):
Fuzzy Systems, LMIs, Nonlinear Control, Diesel Engines.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computational Intelligence
;
Computer-Supported Education
;
Domain Applications and Case Studies
;
Fuzzy Systems
;
Fuzzy Systems Design, Modeling and Control
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Industrial, Financial and Medical Applications
;
Methodologies and Methods
;
Neural Networks
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Theory and Methods
Abstract:
Air management control in a turbocharged diesel engine presents itself as a challenge due to its nonlinear behavior, then classic control techniques are unable to provide the required performance. Hence, it is proposed to design fuzzy controllers based on PDC structure (Parallel Distributed Compensation) using a previously obtained Takagi-Sugeno fuzzy model for the engine. Controller parameters are obtained from a minimization problem subject to LMIs (Linear Matrix Inequalities).