Fuzzy scheduling control of a gas turbine aero-engine: amultiobjective approach
Chipperfield, A.J.; Bica, B.; Fleming, P.J.
Industrial Electronics, IEEE Transactions on
Volume 49, Issue 3, Jun 2002 Page(s):536 - 548
Digital Object Identifier 10.1109/TIE.2002.1005378
Summary:This paper investigates the use of a nonconventional approach to
control a gas turbine aero-engine. The rationale behind this study is
the need to develop advanced tools and techniques that can assist in
improving the performance of the system and simultaneously enhance the
flexibility of the control strategy. Modern techniques are required for
many complex systems where increasingly strict performance and
regulatory requirements must be achieved. This is particularly true of
aerospace systems where consideration of safety, reliability,
maintainability, and environmental impact are all necessary as part of
the control requirements. This paper investigates a combination of two
such potential techniques: fuzzy logic and evolutionary algorithms.
Emerging from new requirements for gas turbine aero-engine control, a
flexible gain scheduler is developed and analyzed. A hierarchical
multiobjective genetic algorithm is employed to search and optimize the
potential solutions for a wide envelope controller covering idle,
cruise, and full-power conditions. The overall strategy is demonstrated
to be a straightforward and feasible method of refining the control
system performance and increasing its flexibility
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