International Conference on Research in Air Transportation

p. 421-428

Presentation's date: 2008-06-03

Abstract:

This paper presents a strategy for designing noise abatement procedures aimed at reducing the global annoyance perceived for the population living around the airports. By using fuzzy logic techniques it is shown how annoyance can be modelled in function of the maximum perceived noise level at a specific noise sensitive location and the time of the day when the departure takes place. Thus, the annoyance is computed for different kinds of sensibility areas, such as residential zones, industrial zones, schools or hospitals and an annoyance figure is obtained for each possible trajectory. Then, a non-linear multiobjective optimal control problem is presented in order to obtain the minimum annoyance trajectory for all sensitive locations. Lexicographic optimisation is used to cope with the difficulties that arise when several criteria appear in the optimisation process. Finally, a practical example is given for an hypothetical scenario where different optimal trajectories are obtained at different day periods.

Best Paper in Track Award de l’International Congress on Research in Air Transport

This paper presents a strategy for designing noise abatement procedures aimed at reducing the global annoyance perceived for the population living around the airports. By using fuzzy logic techniques it is shown how annoyance can be modelled in function of the maximum perceived noise level at a specific noise sensitive location and the time of the day when the departure takes place. Thus, the annoyance is computed for different kinds of sensibility areas, such as residential zones, industrial zones, schools or hospitals and an annoyance figure is obtained for each possible trajectory. Then, a non-linear multiobjective optimal control problem is presented in order to obtain the minimum annoyance trajectory for all sensitive locations. Lexicographic optimisation is used to cope with the difficulties that arise when several criteria appear in the optimisation process. Finally, a practical example is given for an hypothetical scenario where different optimal trajectories are obtained at different day periods.]]>

Conference on Systems and Control

p. 1-6

Presentation's date: 2007-05

Abstract:

This paper presents a strategy based on fuzzy logic and lexicographic multi-objective optimization for designing noise abatement procedures aimed at reducing the noise exposure of the population living around the airports. A non-linear multi-objective optimal control problem is formally written and identified. A lexicographic optimization technique is presented for establishing a hierarchical order among the optimization objectives which are the noise at several different sensitive locations and fuel or time consumption criteria. A fuzzy logic set has been established to represent the noise annoyance in four different sensitive locations around the airport. A model for departure procedures has been used and the solution for a hypothetical scenario with four different noise sensitive locations is presented

This paper presents a strategy based on fuzzy logic and lexicographic multi-objective optimization for designing noise abatement procedures aimed at reducing the noise exposure of the population living around the airports. A non-linear multi-objective optimal control problem is formally written and identified. A lexicographic optimization technique is presented for establishing a hierarchical order among the optimization objectives which are the noise at several different sensitive locations and fuel or time consumption criteria. A fuzzy logic set has been established to represent the noise annoyance in four different sensitive locations around the airport. A model for departure procedures has been used and the solution for a hypothetical scenario with four different noise sensitive locations is presented.]]>

Revista iberoamericana de automática e informática industrial

Vol. 4, num. 2, p. 43-51

Date of publication: 2007-04

International Congress and Exposition on Noise Control Engineering

p. 1-10

International Conference on Research in Air Transportation

p. 19-28

Abstract:

In this work it is presented a framework for a global optimization tool that will take into account air craft dynamics and performances, noise nuisances and RNAV radionavigation requirements in order to assess an optimum flight depart or approach procedure. This strategy would be used as an optimization process performed by the corresponding authority in charge of the air traffic management of the involved airport or by an on-board optimization algorithm integrated in the Flight Management and Guidance System (FMGS). In both cases, the optimization framework is the same and the differences reside in the specific implementation of the optimization algorithms and the availability of the data in real time. In addition, aircraft's dynamic equations are developed in order to compute the flight trajectory from a set of flight guidance control variables and a first glance into a noise optimization criterion is given. Finally, the global optimization problem is properly formulated and the proposed solving utilities are presented.

Best Paper Award in Airline, Airport Operations & Weather & Env. Track, atorgat per Eurocontrol/FAA (2006-06-28)]]>

8th International Symposium on Transport Noise and Vibration

p. 1-12

Date: 2005-09

Date: 2005-08

International Congress and Exposition on Noise Control Engineering

p. 1-10