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... methodology here presented was implemented, and its flight cost was compared against the flight cost obtained by using the commercial flight simulator (FlightSIM®) having its complete aircraft aerodynamic model. Figure 2 and Figure 3 provide the fuel burn and the flight time difference expressed in terms of relative errors. As seen in Figures 2 and 3, the methodology developed was able to provide results similar to commercial available tools; this methodology can be used as a tool in the flight optimization algorithms. ...
Context 2
... 2 and Figure 3 provide the fuel burn and the flight time difference expressed in terms of relative errors. As seen in Figures 2 and 3, the methodology developed was able to provide results similar to commercial available tools; this methodology can be used as a tool in the flight optimization algorithms. ...
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Citations
... This limit of the simulation relative error will help to take main decisions in all development phases [5], and to obtain optimized flight trajectories [6], - [7]. The main aim in this project is to manage the fuel flow prediction by using the Flight Management System (FMS), which is an in-board device, capable to generate flight plans, and to manage engine parameters, such as thrust and fuel flow [8], in order to predict the fuel burn during different cruise intervals [9]. Its presence on-board has become a necessity guarantying the smooth running of a flight, and it has become also the pilot's primary interface for flight planning operation on the airplane [10], [11]. ...
The main aim of this paper concerns the fact that in order to guarantee the best possible flight trajectory prediction by the Flight Management Systems FMS, there is the need to create an original tool that can estimate the aerodynamic coefficients using the aircraft aerodynamic performances and parameters collected during the flight tests. This new tool will mostly use artificial intelligence methodologies in order to create an algorithm that can update the FMS database. This tool will allow to the update, if it is necessary, the FMS database in order to correct the actual error between the real and predicted trajectory. The database update will be focused on the fuel flow prediction and optimisation during the cruise. This correction will allow us in the future to make the best decision possible regarding the aircraft behaviour during flight. The research here presented was successfully validated using the Research Aircraft Flight Simulator Level D for the business aircraft Cessna Citation X designed and manufactured by CAE Inc.
... This limit of the simulation relative error will help to take main decisions in all development phases [5], and to obtain optimized flight trajectories [6], - [7]. The main aim in this project is to manage the fuel flow prediction by using the Flight Management System (FMS), which is an in-board device, capable to generate flight plans, and to manage engine parameters, such as thrust and fuel flow [8], in order to predict the fuel burn during different cruise intervals [9]. Its presence on-board has become a necessity guarantying the smooth running of a flight, and it has become also the pilot's primary interface for flight planning operation on the airplane [10], [11]. ...
