Abstract
A multi-objective trajectory optimization framework based on the genetic algorithm has been developed to minimize environmental impact (noise and exhaust emissions). First, a parameterization method is established for the departure phase, with constraints considered for the actual flight scenarios. Second, a lateral parameterization method based on a Bézier spline has been proposed to decrease the number of free parameters. Then a comprehensive flight mechanics program was used to evaluate the aircraft noise impact and to provide the value of the cost functions. Finally, the nonlinear optimal control problem is discretized and transformed into a parameter optimization problem that can be solved by a non-gradient optimization procedure. Numerical examples are presented to demonstrate the capability and applicability of proposed technique for a commercial airplane operating out of an international airport. Results show that the framework proposed is effective and flexible.
Original language | English |
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Title of host publication | Inter.Noise, 27-30 August 2017, Hong Kong |
Publisher | Institute of Noise Control Engineering |
Chapter | 4013 |
Pages | 3997-4999 |
Volume | 11 |
Publication status | Published - 7 Dec 2017 |
Event | 46th International Congress and Exposition on Noise Control Engineering: Taming Noise and Moving Quiet, INTER-NOISE 2017 - Hong Kong, China Duration: 27 Aug 2017 → 30 Aug 2017 |
Conference
Conference | 46th International Congress and Exposition on Noise Control Engineering: Taming Noise and Moving Quiet, INTER-NOISE 2017 |
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Country/Territory | China |
City | Hong Kong |
Period | 27/08/17 → 30/08/17 |
Keywords
- Aircraft noise
- Trajectory Optimization
- Multi-Objective Optimization I-INCE Classification of Subjects Number(s): 52,60,67,68,76