JOURNAL ARTICLE

Multiobjective design of a fuzzy controller for a gas turbine aero-engine

Abstract

This paper describes the design of a fuzzy logic controller for a gas turbine aero-engine based on multiobjective genetic algorithms. The design is for a single manoeuvre around a 50% operating point at sea-level static conditions. The input-output relationship of the original controller is observed for the manoeuvre and a fuzzy controller constructed to approximate this relationship and verified on a nonlinear thermodynamic of the model engine. The fuzzy rule-base and membership functions are then optimized for a representative set of performance and operational design criteria directly on the nonlinear model and compared with the original controller

Keywords:
Aero engine Gas turbines Automotive engineering Fuzzy logic Gas engine Computer science Controller (irrigation) Control engineering Environmental science Engineering Mechanical engineering Artificial intelligence

Metrics

12
Cited By
2.31
FWCI (Field Weighted Citation Impact)
0
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Control Systems Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Fuzzy Logic and Control Systems
Physical Sciences →  Computer Science →  Artificial Intelligence

Related Documents

JOURNAL ARTICLE

Fuzzy scheduling control of a gas turbine aero-engine: a multiobjective approach

A.J. ChipperfieldB. BicaP.J. Fleming

Journal:   IEEE Transactions on Industrial Electronics Year: 2002 Vol: 49 (3)Pages: 536-548
JOURNAL ARTICLE

Multiobjective gas turbine engine controller design using genetic algorithms

A.J. ChipperfieldP.J. Fleming

Journal:   IEEE Transactions on Industrial Electronics Year: 1996 Vol: 43 (5)Pages: 583-587
© 2026 ScienceGate Book Chapters — All rights reserved.