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Optimal Flight Trajectory to Minimize Noise During Landing
| Content Provider | Semantic Scholar |
|---|---|
| Author | Udani, Janav P. Mall, Kshitij Grant, Michael James Sun, Dengfeng |
| Copyright Year | 2017 |
| Abstract | Generally, aircraft performance is judged on the basis of fuel consumption, range, or time criteria, and hence, most optimization studies are carried out on these attributes. With that in mind, any flight event can be segmented into three distinct stages: take-off, cruise and landing. Noise generated by an aircraft during its landing phase is considerably high and, hence, has a significant impact on the population surrounding the airport. While one way to reduce the perceived noise is by reducing the engine noise itself, this study focuses on trajectory optimization to design noise-minimal flight trajectories. In this study, the relationship of the aircraft with its environment during the terminal descent phase has been studied, and optimal control theory and a state of the art trajectory solver, GPOPS-II, have been used to construct noise minimal flight trajectories. The concept of trignomerization is used to implicitly limit the controls and preliminary results solving the 3 degree-offreedom noise minimization problem are presented. To showcase the impact of population distribution around an airport on the effective perceived noise, an example scenario with a simplistic population distribution function is studied. The higher fidelity problem is solved using optimal control theory and validated through GPOPS-II. The impact of population is reflected by a change in the noise-minimal landing trajectory adopted by the aircraft in this scenario. Additionally, comparisons have been drawn with the flight trajectory simulated using the currently accepted constant descent approach and the cumulative perceived noise is found to be lower for the optimal trajectory. This is the first time optimal control theory has been used to optimize a 3 DOF aircraft landing trajectory problem with three bounded controls. |
| File Format | PDF HTM / HTML |
| DOI | 10.2514/6.2017-1180 |
| Alternate Webpage(s) | http://web.ics.purdue.edu/~dsun/pubs/scitech17.pdf |
| Alternate Webpage(s) | https://doi.org/10.2514/6.2017-1180 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
