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Multi-Objective Climb Path Optimization for Aircraft/Engine Integration Using Particle Swarm Optimization

Propulsion Engineering Centre, School of Aerospace, Transport and Manufacturing, Cranfield University, Cranfield MK43 0AL, UK
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Appl. Sci. 2017, 7(5), 469; https://doi.org/10.3390/app7050469
Received: 29 January 2017 / Revised: 21 April 2017 / Accepted: 26 April 2017 / Published: 30 April 2017
(This article belongs to the Special Issue Gas Turbines Propulsion and Power)
In this article, a new multi-objective approach to the aircraft climb path optimization problem, based on the Particle Swarm Optimization algorithm, is introduced to be used for aircraft–engine integration studies. This considers a combination of a simulation with a traditional Energy approach, which incorporates, among others, the use of a proposed path-tracking scheme for guidance in the Altitude–Mach plane. The adoption of population-based solver serves to simplify case setup, allowing for direct interfaces between the optimizer and aircraft/engine performance codes. A two-level optimization scheme is employed and is shown to improve search performance compared to the basic PSO algorithm. The effectiveness of the proposed methodology is demonstrated in a hypothetic engine upgrade scenario for the F-4 aircraft considering the replacement of the aircraft’s J79 engine with the EJ200; a clear advantage of the EJ200-equipped configuration is unveiled, resulting, on average, in 15% faster climbs with 20% less fuel. View Full-Text
Keywords: aircraft/engine integration; trajectory optimization; multi-objective optimization; particle swarm optimization aircraft/engine integration; trajectory optimization; multi-objective optimization; particle swarm optimization
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MDPI and ACS Style

Antonakis, A.; Nikolaidis, T.; Pilidis, P. Multi-Objective Climb Path Optimization for Aircraft/Engine Integration Using Particle Swarm Optimization. Appl. Sci. 2017, 7, 469.

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