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Vertical flight path segments sets for aircraft flight plan prediction and optimisation

Published online by Cambridge University Press:  05 July 2018

B. D. Dancila
Affiliation:
École de Technologie Supérieure, Montréal, Québec, Canada
R. M. Botez*
Affiliation:
École de Technologie Supérieure, Montréal, Québec, Canada
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Abstract

The paper presents a method for constructing a set of vertical flight path segments, that would compose an aircraft's vertical flight envelope, by using an aircraft performance model. This method is intended to be used for aircraft flight plan prediction and optimisation algorithms. The goal is to reduce the volume of recurring segment performance computations currently required for flight plan prediction or optimisation. The method presented in this paper applies to a free-flight scenario. The flight-path segments composing the vertical flight envelope belong to one of the unrestricted climb, constant-speed level flight, step-climb and continuous descent segments, performed at the consigned climb, cruise and descent speed schedules and at the consigned air temperature values. The method employs an aircraft model using linear interpolation tables. Nine test scenarios were utilised to assess the performances of the resulting flight envelopes as a function of the number of cruise altitudes and descent flight paths. The set of evaluated performance parameters includes the range of total flight times and still-air flight distances, and the vertical profiles describing the minimum and maximum flight times, and still-air flight distances. The advantages of the proposed method are multiple. First, it eliminates the need for repetitive aircraft performance computations of identical vertical flight plan segments, and provides the means for quick retrieval of the corresponding performance data for use in the construction of a full flight plan. Second, the vertical flight path look-up structure and the vertical flight-path graph describe a set of vertical flight paths that consider an aircraft's and flight plan's configuration parameters and cover its maximum flight envelope. Third, the look-up structure and the graph provide the means for rapid and clear identification of the available options for constructing a flight-plan segment, as well as for detecting the points associated with changes in the flight phases, including climb, cruise, step-climb and descent.

Information

Type
Research Article
Copyright
Copyright © Royal Aeronautical Society 2018 
Figure 0

Figure 1. The relationship between the pre-computed still-air and wind-adjusted climb flight path parameters: still-air speed diagram.

Figure 1

Figure 2. The relationship between the pre-computed still-air and wind-adjusted climb flight path parameters: wind-adjusted speed diagram.

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Figure 3. The relationship between the pre-computed still-air and wind-adjusted climb flight path parameters: still-air climb segment geometry.

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Figure 4. The relationship between the pre-computed still-air and wind-adjusted climb flight path parameters: wind-adjusted climb segment geometry.

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Figure 5. The relationship between the pre-computed still-air and wind-adjusted cruse, level-flight path parameters: still-air speed diagram.

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Figure 6. The relationship between the pre-computed still-air and wind-adjusted cruse, level-flight path parameters: wind-adjusted speed diagram.

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Figure 7. The vertical flight path graph corresponding to a look-up structure describing a climb path, a cruise phase composed of N cruising altitudes, P step-climb flight paths, and two sets of descent flight paths corresponding to two expected landing gross weights.

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Figure 8. The climb vertical flight path computation workflow.

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Figure 9. The pre-computed climb vertical flight path parameters.

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Figure 10. The descent vertical flight paths’ computation workflow.

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Figure 11. Example of a descent flight path – the deceleration and descent segments.

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Figure 12. The level-flight cruise vertical flight path computation workflow.

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Figure 13. The vertical flight path look-up structure and vertical flight path graph computing workflow.

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Figure 14. Example of fractional constant-speed climb segment performance computation.

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Figure 15. The flight plan computation workflow.

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Figure 16. The flight plan segment's computation workflow.

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Table 1 The set of test configuration parameters common to all nine scenarios

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Table 2 The sets of test configuration parameters specific to each test case

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Table 3 The topologies of the sets of flight paths described by the resulting vertical flight path look-up structures and vertical flight path graphs

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Figure 17. Vertical flight path graphs corresponding to the vertical flight paths stored in the vertical flight path look-up structures: test case A11.

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Figure 18. Vertical flight path graphs corresponding to the vertical flight paths stored in the vertical flight path look-up structures: test case A12.

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Figure 19. Vertical flight path graphs corresponding to the vertical flight paths stored in the vertical flight path look-up structures: test case A13.

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Figure 20. Vertical flight path graphs corresponding to the vertical flight paths stored in the vertical flight path look-up structures: test case A21.

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Figure 21. Vertical flight path graphs corresponding to the vertical flight paths stored in the vertical flight path look-up structures: test case A22.

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Figure 22. Vertical flight path graphs corresponding to the vertical flight paths stored in the vertical flight path look-up structures: test case A23.

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Figure 23. Vertical flight path graphs corresponding to the vertical flight paths stored in the vertical flight path look-up structures: test case A31.

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Figure 24. Vertical flight path graphs corresponding to the vertical flight paths stored in the vertical flight path look-up structures: test case A32.

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Figure 25. Vertical flight path graphs corresponding to the vertical flight paths stored in the vertical flight path look-up structures: test case A33.

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Table 4 The vertical flight path graphs’ total number of flight paths, the minimum and maximum flight times and still-air distances

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Figure 26. Vertical flight path profiles for the maximum and minimum flight-times and still-air distances: test case A11.

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Figure 27. Vertical flight path profiles for the maximum and minimum flight-times and still-air distances: test case A12.

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Figure 28. Vertical flight path profiles for the maximum and minimum flight-times and still-air distances: test case A13.

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Figure 29. Vertical flight path profiles for the maximum and minimum flight-times and still-air distances: test case A21.

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Figure 30. Vertical flight path profiles for the maximum and minimum flight-times and still-air distances: test case A22.

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Figure 31. Vertical flight path profiles for the maximum and minimum flight-times and still-air distances: test case A23.

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Figure 32. Vertical flight path profiles for the maximum and minimum flight-times and still-air distances: test case A31.

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Figure 33. Vertical flight path profiles for the maximum and minimum flight-times and still-air distances: test case A32.

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Figure 34. Vertical flight path profiles for the maximum and minimum flight-times and still-air distances: test case A33.

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Table 5 Test case A11 –Statistical analysis of the number of vertical flight paths ending at an EOD gross weight that share the same flight time – still-air flight distance domain with vertical flight paths ending at each EOD gross weight, function of the EOD gross weight

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Table 6 Test case A12 – Statistical analysis of the number of vertical flight paths ending at an EOD gross weight that share the same flight time – still-air flight distance domain with vertical flight paths ending at each EOD gross weight, function of the EOD gross weight

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Table 7 Test case A13 – Statistical analysis of the number of vertical flight paths ending at an EOD gross weight that share the same flight time – still-air flight distance domain with vertical flight paths ending at each EOD gross weight, function of the EOD gross weight

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Table 8 Test case A21 – Statistical analysis of the number of vertical flight paths ending at an EOD gross weight that share the same flight time – still-air flight distance domain with vertical flight paths ending at each EOD gross weight, function of the EOD gross weight

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Table 9 Test case A22 – Statistical analysis of the number of vertical flight paths ending at an EOD gross weight that share the same flight time – still-air flight distance domain with vertical flight paths ending at each EOD gross weight, function of the EOD gross weight

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Table 10 Test case A23 – Statistical analysis of the number of vertical flight paths ending at an EOD gross weight that share the same flight time – still-air flight distance domain with vertical flight paths ending at each EOD gross weight, function of the EOD gross weight

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Table 11 Test case A31 – Statistical analysis of the number of vertical flight paths ending at an EOD gross weight that share the same flight time – still-air flight distance domain with vertical flight paths ending at each EOD gross weight, function of the EOD gross weight

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Table 12 Test case A32 – Statistical analysis of the number of vertical flight paths ending at an EOD gross weight that share the same flight time – still-air flight distance domain with vertical flight paths ending at each EOD gross weight, function of the EOD gross weight

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Table 13 Test case A33 – Statistical analysis of the number of vertical flight paths ending at an EOD gross weight that share the same flight time – still-air flight distance domain with vertical flight paths ending at each EOD gross weight, function of the EOD gross weight

Figure 47

Figure 35. Vertical flight paths’ flight-time and still-air distance domain distribution as function of the EOD gross weight value: test case A11.

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Figure 36. Vertical flight paths’ flight-time and still-air distance domain distribution as function of the EOD gross weight value: test case A12.

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Figure 37. Vertical flight paths’ flight-time and still-air distance domain distribution as function of the EOD gross weight value: test case A13.

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Figure 38. Vertical flight paths’ flight-time and still-air distance domain distribution as function of the EOD gross weight value: test case A21.

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Figure 39. Vertical flight paths’ flight-time and still-air distance domain distribution as function of the EOD gross weight value: test case A22.

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Figure 40. Vertical flight paths’ flight-time and still-air distance domain distribution as function of the EOD gross weight value: test case A23.

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Figure 41. Vertical flight paths’ flight-time and still-air distance domain distribution as function of the EOD gross weight value: test case A31.

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Figure 42. Vertical flight paths’ flight-time and still-air distance domain distribution as function of the EOD gross weight value: test case A32.

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Figure 43. Vertical flight paths’ flight-time and still-air distance domain distribution as function of the EOD gross weight value: test case A33.

Figure 56

Table 14 Vertical flight path modules’ and total average execution times (in seconds)