Next Article in Journal
Effects of Asymmetric Vane Pitch on Reducing Low-Engine-Order Forced Response of a Turbine Stage
Previous Article in Journal
Direct In-Situ Capture, Separation and Visualization of Biological Particles with Fluid-Screen in the Context of Venus Life Finder Mission Concept Study
Previous Article in Special Issue
A Simulation Study of Risk-Aware Path Planning in Mitigating the Third-Party Risk of a Commercial UAS Operation in an Urban Area
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

A Resilient Forward-Looking Terrain Avoidance Warning Method for Helicopters

School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
*
Author to whom correspondence should be addressed.
Aerospace 2022, 9(11), 693; https://doi.org/10.3390/aerospace9110693
Submission received: 6 October 2022 / Revised: 3 November 2022 / Accepted: 4 November 2022 / Published: 6 November 2022
(This article belongs to the Special Issue Upcoming Safety Challenges in Aviation)

Abstract

:
To reduce nuisance alarms caused by a fixed forward-looking boundary, this paper proposes a resilient forward-looking terrain avoidance method. The method constructed the resilient and adjustable forward-looking boundary model by using roll angle and navigation error, which makes the terrain data employed by the forward-looking alert closer to the terrain data overflown by the anticipated flight trajectory, reduces the nuisance alarm, and improves the reliability of the alert. Using real digital elevation maps and simulated flight testing, the proposed method was observed to provide alerting that is superior to the traditional forward-looking terrain avoidance technique.

1. Introduction

According to statistics, the vast majority of major aviation fatalities in the world are Controlled Flight Into Terrain (CFIT). CFIT means that the aircraft is in a fully airworthy state prior to and at the time of collision with the ground or water, and the crash results in serious aircraft damage, injuries, or casualties [1].
The United States took the lead in addressing CFIT by launching the Ground Proximity Warning System (GPWS) [2], and in 1976 agreed to authorize the use of GPWS for commercial aircraft. The GPWS can provide excessive descent rate warning [3,4], excessive terrain closure warning [5,6], negative climb rate after take-off warning [7,8], unsafe terrain clearance warning [9], glide slope warning [10], and other mode alarm functions. Each mode receives various flight parameters of the aircraft as input data, and compares these parameters with a variety of internally stored warning thresholds. If any warning threshold is exceeded, audible and visual warnings are provided to the crew. The deployment of GPWS significantly improved the safety of aircraft during take-off and approach landing, and played a key role in reducing the occurrence of CFIT [11,12]. Furthermore, a large number of scholars have improved the warning capability of GPWS. For example, reference [13] improved reliability by using warning judgment by weighted fusion of correction altitudes provided by multiple sensors. Reference [14] generated the terrain clearance floor envelope enclosing the runway, and suppressed warnings within the envelope to avoid excessive nuisance warnings during landing. When different mode alarms occur at the same time, reference [15] proposed a time-based mode switching method. GPWS is a reactive system, and only when the aircraft enters a hazardous zone will it give a warning. In order to reduce nuisance warnings, GPWS provides the pilot minimal lead time, requiring swift action to avert the hazard. A system that provides a preview of ground hazards based on the projected aircraft trajectory would allow the pilot to anticipate potential danger and plan evasive action with lower workload.
Since the beginning of the 21st century, with the rapid development of digital map technology, navigation technology, and satellite positioning technology, the Enhanced Ground Proximity Warning System (EGPWS) came into being [16]. EGPWS is also known as the Terrain Awareness and Warning System (TAWS) [17,18]. EGPWS adds Forward Looking Terrain Avoidance (FLTA) and terrain display functions in addition to the original mode alert function. FLTA can provide a “look-ahead” function, which improves the pilot’s awareness of the surrounding terrain and gives the pilot more time to plan and act prior to hazard arrival. As the core function of the TAWS, FLTA has received extensive attention from researchers since it was proposed. Reference [19] designed the FLTA envelope by establishing the normal trajectory, vertical trajectory, and inclined recovery trajectory of the helicopter. References [20,21] designed the vertical envelope of FLTA by establishing the aircraft’s standard vertical avoidance maneuver trajectory. Reference [22] studied the time threshold of a forward-looking alarm, and analyzed the alarm performance under different time thresholds. Reference [23] proposed a forward-looking warning method that uses terrain matching to correct the relative position error between helicopter and terrain. In addition, for the interference warning, reference [24] proposed a method to adjust the FLTA envelope according to the Required Navigation Performance (RNP) of aircraft.
Although the proposed methods can provide the FLTA function for the crew, the traditional FLTA envelope adopts a trapezoidal side boundary. When the aircraft turns, it is prone to nuisance alarms, which reduces the reliability of the FLTA. To solve this problem, this paper proposes a resilient forward-looking terrain avoidance warning method. The method adjusts the beginning width of the FLTA through the navigation error and terrain resolution. During turning flight, the FLTA side boundary is modified by the roll angle to construct a resilient adjustable side boundary model, which reduces nuisance alarms and improves the reliability of the alerts.

2. Helicopter Terrain Awareness and Warning System (HTAWS)

HTAWS is to evaluate whether the aircraft will crash into the ground through the information provided by airborne sensors such as radio altitude, atmospheric data, attitude, instrument landing, and terrain/obstacle database, and generate corresponding auditory and visual signals. HTAWS comprises two functions, the mode alert and the FLTA alert. The mode alert compares the current state information of the aircraft provided by the onboard sensor to compare with combinations of states used to define hazardous operation to inform the alert logic. The mode alert includes 6 modes: excessive descent rate warning (Mode 1), excessive terrain closure warning (Mode 2), negative climb rate after take-off warning (Mode 3), unsafe terrain clearance warning (Mode 4), glide slope warning (Mode 5), and altitude call and excessive roll/pitch warning (Mode 6) [25].
The objective of the FLTA alert is to compute a virtual three-dimensional envelope in the space of the aircraft’s forward motion based on current flight state. When alerting is enabled (for helicopters, the activation conditions include when the airspeed is greater than 21 m/s, the landing gear is retracted or the flight height is greater than 3 m, and the current altitude is greater than the calculated clipping height) [25], the aircraft automatically obtains data information such as terrain and obstacles, and compares the spatial position relationship between the envelope and the surrounding terrain in real time. When the surrounding terrain penetrates the envelope, an alert is triggered. The schematic diagram of FLTA flight is shown in Figure 1. The envelopes for FLTA are divided into caution envelopes and warning envelopes. The construction process of the two envelopes is identical, consisting of 4 parts, namely, the look-down boundary, the look-ahead boundary, the look-up boundary, and the side boundary. The safety margin of the warning envelope is smaller than the caution envelope’s margin [26], and Figure 2 shows FLTA’s implementation block diagram.
The look-down boundary is mainly determined by the aircraft’s minimum safe altitude loss ΔH. During cruise flight, ΔH is generally a fixed value. However, during take-off or landing, ΔH changes with the distance from the aircraft to the nearest runway [26]. To avoid false alarms when the aircraft flies over the terrain at a relatively low altitude, a cut-off boundary is set. When the cut-off boundary is larger than the look-down boundary, the cut-off boundary is used as the new look-down boundary. The cut-off boundary starts from a predetermined offset position below the aircraft and extends ahead of flight at a predetermined cut-off angle. The cut-off angle calculation formula is
θ j c = min ( γ , θ s x ) δ b
where γ is the flight path angle. θsx is the upper limit of the cut-off angle. δb is the base value.
The look-ahead boundary is determined by the look-ahead distance and the corresponding influence coefficient. For the helicopter, the look-ahead distance is equal to the sum of the reaction distance and the distance from cruise to hover. The look-ahead distance calculation formula is
D L A = V 2 2 g tan α + V · T
where V is the flight speed. g is the gravitational acceleration. α is the nominal pitch angle for hovering. T is the reaction time of the pilot.
The look-up boundary is determined by the altitude loss, look-up distance, and look-up extended angle. The look-up distance is equal to the look-ahead distance multiplied by various coefficients. To avoid hazardous terrain, the aircraft must pull up and. Alerts are computed using Equation (3), where altitude loss is defined as the vertical distance flown from maneuver initiation to the start of the climb.
d H c = 3 4 Δ H + V z × T 1 + V z 2 2 a d H w = 1 2 Δ H + V z 2 2 a
where dHc represents the loss altitude of the caution alert and dHw represents the loss altitude of the warning alert. Vz is the vertical speed. a is the acceleration during the pull-up maneuver.
The side boundary is defined by the beginning width Bw, the centerline deflection angle θ, and the side deviation angle δ, as shown in Figure 3. The centerline of the side boundary starts from the current position of the aircraft and extends to both sides with a fixed deviation angle to form a trapezoidal side boundary. The trapezoidal boundary provides the best prediction of hazardous terrain during rectilinear flight (i.e., the radius of turn is infinite). As the radius of turn decreases, less of the aircraft’s projected trajectory will lie within the trapezoidal boundary, increasing the likelihood of a mismatch between anticipated and actual terrain height. When the aircraft turns, the accuracy of terrain awareness will be reduced.
Construction of the trapezoidal boundary and the extraction of terrain data within the boundary consists of the following 5 steps.
(1) Using the current position (c0, r0) of the aircraft, calculate the row and column coordinates of the four endpoints of the trapezoidal boundary on the digital terrain elevation map as
r 1 = r 0 + 1 / 2 B w cos ( θ ) r 2 = r 0 1 / 2 B w cos ( θ ) r 3 = r 1 k 3 D L A / cos ( δ ) sin ( θ δ ) r 4 = r 2 k 3 D L A / cos ( δ ) sin ( θ + δ )
c 1 = c 0 + 1 / 2 B w sin ( θ ) c 2 = c 0 1 / 2 B w sin ( θ ) c 3 = c 1 + k 3 D L A / cos ( δ ) cos ( θ δ ) c 4 = c 2 + k 3 D L A / cos ( δ ) cos ( θ + δ )
where DLA is the look-ahead distance and k3 is the coefficient of the caution look-up distance.
(2) Construct a polygonal database from vertex coordinates. Store the maximum ordinate Rmax, starting abscissa Cmax, and reciprocal of slope k corresponding to each line segment.
(3) Arrange the coordinate data of the sampling points stored in (2) in ascending order. Using the scan line method, the terrain between the line segments is retrieved and stored.
(4) For each terrain data element retrieved, calculate the distance dl from the beginning width Bw. Arrange dl in ascending order, and partition the retrieved terrain data according to the set distance threshold.
(5) For the forward-looking alert, an alert is issued as long as there is a large terrain penetration boundary. Therefore, the maximum value of each row in the split terrain data is compared with the envelope to realize a forward-looking alert judgment.
FLTA enhances the flight crew’s perception of the surrounding terrain and facilitates less abrupt maneuvering due to earlier planning. When the aircraft turns, the traditional trapezoidal boundary centerline increasingly deviates from the real flight trajectory along the centerline distance. In Figure 3, the red hazardous terrain not in front of the flight will lead to a false alarm and the yellow hazardous terrain in front of the real flight will cause a missing alarm. These interference alarms will affect the normal flight of the crew and reduce the reliability of the FLTA alert.

3. Resilient Forward-Looking Terrain Avoidance Warning Method (RFLTA)

The resilient forward-looking terrain avoidance warning method retains the look-down boundary, the look-ahead boundary, and the look-up boundary of the traditional method, and modifies the horizontal boundary. The method combines the current map resolution and 3 times the real-time estimation error of the navigation system to construct the beginning width. The forward-looking alert envelope is adjusted according to the aircraft roll angle. When the aircraft is flying in a straight line, the trapezoidal side boundary is used to extract the terrain data within the envelope, and when the aircraft is turning, the terrain data are extracted using the pipe-shaped side boundary shown in Figure 4, where the square represents the terrain grid, the green squares represent terrain elevation extracted from the side boundary, and the red and yellow squares represent the hazardous terrain.
Construction of the pipe-shaped boundary and the extraction of terrain data within the boundary are described in the following 7 steps.
(1) Using the real-time estimation error σxy provided by the aircraft navigation system and the resolution res of the map data used by the aircraft, adjust the beginning width Bw of the boundary as
B w = 3 σ x y + r e s
(2) Using the current position of the aircraft (c0, r0), speed V, attitude, and other information, calculate the radius R of the pipe-shaped boundary, the coordinates of the center of the circle (xo, yo), the center angle α, and the coordinates of the baseline endpoints (cs, rs), (ce, re).
R = V 2 g tan φ
x 0 = c 0 + R sin ( θ ) y 0 = r 0 + R cos ( θ )
α = k 3 D L A 180 π R
r s = r 0 + 0.5 B w cos ( θ ) r e = r 0 0.5 B w cos ( θ )
c s = c 0 + 0.5 B w sin ( θ ) c e = c 0 0.5 B w sin ( θ )
where φ is the aircraft roll angle. θ is the angle between the centerline and the east.
(3) Set the sampling number S. Sample the equal central angle of the pipe-shaped boundary to obtain the coordinates of the sampling point on the arc. Take the endpoint of the baseline as the fixed point, expand the sampling point according to the set deviation angle δ, and obtain the coordinates of the sampling point after the deviation.
Set a fixed number of samples NS, and take (cs, rs) and (ce, re) as the starting points (ca, ra), respectively, to sample along the arc with equal center angle. The sampling coordinate on the arc is (ci, ri). Expand (ci, ri) with the set deviation angle δ, and calculate the sampling coordinate on the pipe-shaped boundary as follows.
c ( i ) = c a + ( c i c a ) cos ( δ ) ( r i r a ) sin ( δ ) r ( i ) = r a + ( c i c a ) sin ( δ ) + ( r i r a ) cos ( δ )
where i represents the i-th sampling point.
(4) Connect each sampling point end to end to construct an approximate pipeline-shaped polygon. A polygonal database is constructed to store the maximum ordinate Rmax, the initial abscissa Cmax, and the reciprocal of the slope k corresponding to each line segment.
(5) Arrange the coordinate data of the sampling points stored in (2) in ascending order. Using the scan line method, the terrain between the line segments is retrieved and stored.
(6) For each terrain data element retrieved, calculate the distance dl from the starting width Bw and the distance LR from the center of the circle and compute the corresponding central angle α and arc length LM. Arrange LM in ascending order, and split the retrieved terrain data according to the set distance threshold.
(7) For the forward-looking alert, an alert is issued when terrain penetrates the boundary. The maximum value of each row in the partitioned terrain data is compared with the envelope to realize a forward-looking alert judgment.

4. Experimental Results and Analysis

The resilient forward-looking terrain avoidance warning method is tested and verified using real terrain elevation data and simulated flight. The size of the digital terrain elevation map used in the experiment is 540 km × 540 km, and the map resolution is 30 m. The terrain contour map and the three-dimensional simulated flight trajectory are shown in Figure 5 and Figure 6, respectively. The initial height of the simulated flight trajectory is 518.16 m and the initial speed is 25.72 m/s. The width of the safety corridor generated by the navigation and positioning error is 90 m. The flight status data are updated at 50 Hz.
The RFLTA caution and warning alert tests are carried out for rectilinear and curvilinear flight, respectively. The roll angle, forward-looking distance (DLA), radio altitude, and remaining impact time are counted as shown in Table 1. The RFLTA caution alert and warning alert results are shown in Figure 7 and Figure 8.
As can be seen from Figure 7 and Figure 8, when the hazardous terrain ahead of the flight penetrates the caution envelope, the system issues the alert "Caution Terrain". When the hazardous terrain ahead of the flight penetrates the warning envelope, the system issues the alert "Warning Terrain". Aside from the mode alert, when the alert occurs, the method computes the remaining impact time based on the current flight state parameters for the flight crew’s reference. As shown in Table 1, for the caution alert shown in Figure 7, the remaining time for the aircraft to hit the nearest hazardous terrain is 10.46 s. For the warning alert shown in Figure 8, the time to impact is 5.86 s.
To further test the performance of the RFLTA method, under the same time epoch of the turning flight, the traditional alert envelope and the resilient alert envelope are used to experiment, respectively, and the experimental results are shown in Figure 9. The horizontal boundaries of the two methods are drawn on the horizontal flight trajectory curve, and the terrain elevations extracted by the two methods are compared with the terrain elevations of the real trajectory, as shown in Figure 10 and Figure 11, respectively. For the two turning flights in Figure 5, we count the interference alarm and the elevation difference with the real terrain profile under two methods, as shown in Table 2. The interference alarm includes false alarm NF and missing alarm NM. If the terrain profile below the real trajectory does not penetrate the alert boundary, and the extracted terrain profile penetrates the alert boundary, it is recorded as a false alarm. Conversely, if the terrain profile below the real trajectory penetrates the warning boundary, and the extracted terrain profile does not penetrate the alert boundary, it is recorded as a missing alarm. The terrain profile information calculates the mean HM and standard deviation HS of the elevation difference between the extracted terrain profile and the actual terrain profile.
It can be seen Figure 9, Figure 10 and Figure 11 that the traditional FLTA method has a caution alert, while the RFLTA method does not generate an alert. From the terrain elevation curve directly below the real flight trajectory, it can be seen that the terrain elevation extracted by the RFLTA method better reflects the actual overflown terrain than the traditional FLTA method. As there is no hazardous terrain along the actual flight path, the traditional FLTA has issued a false alarm. Compared to the trapezoidal boundary, the pipe-shaped boundary is closer to the trajectory of the aircraft when it turns. Table 2 summarizes the alarms under two turning flights. The number of false alarms and missed alarms of the pipe-shaped boundary proposed in this paper is reduced. Moreover, the extracted terrain profile more accurately reflects the actual overflown terrain, thus providing improved terrain awareness and reliability of the HTAWS.

5. Conclusions

This paper proposed a resilient forward-looking terrain avoidance method. The RFLTA method adjusts the forward-looking boundary based on the navigation error and roll angle of the aircraft. FLTA’s pipe-shaped boundary can reduce the interference alarms under turning flight, and enhance the pilot’s awareness of potentially hazardous terrain. Actual digital terrain and simulated flight were used for testing and verification. Compared with the traditional FLTA method, the terrain profile extracted by the RFLTA method better reflected the real profile, and the numbers of false alarms and missing alarms are significantly reduced. Although the RFLTA method can improve the reliability of the HTAWS, it cannot guarantee flight safety. Action taken by a pilot to evade hazardous terrain will depend on pilot experience and cognizance of available evasion options. Future work will examine how to provide the pilot with safe trajectory advisories.

Author Contributions

Writing—original draft preparation, R.C.; writing—review and editing, L.Z. All authors have read and agreed to the published version of the manuscript.

Funding

The project was funded by the National Key Research and Development Program of China (Grant No. 2020YFB0505804), the National Natural Science Foundation of China (Grant No. 41874034), and the Natural Science Foundation of Beijing (Grant No. 4202041).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. International Civil Aviation Organization. Controlled Flight into Terrain: Education and Training Aid; Technical Report January; International Civil Aviation Organization: Montreal, QC, Canada, 2005. [Google Scholar]
  2. Astengo, R.A. Ground Proximity Warning System Utilizing Radio and Barometric Altimeter Combination. France Patent FR2102182, 21 January 1977. [Google Scholar]
  3. Bateman, C.D. Excessive Descent Rate Warning System for Aircraft. Canada Patent CA1058306A, 10 July 1979. [Google Scholar]
  4. Bateman, C.D. Aircraft Excessive Descent Rate Warning System. U.S. Patent US4215334A, 29 July 1980. [Google Scholar]
  5. Brem, F.J.; Muller, H.R.; Bateman, C.D. Terrain Closure Warning System with Climb Inhibit and Altitude Gain Measurement. Canada Patent CA1039535, 3 October 1978. [Google Scholar]
  6. Muller, H.R.; Bateman, C.D. Terrain Closure Warning System with Altitude Rate Signal Conditioning. Canada Patent CA1071740, 12 February 1980. [Google Scholar]
  7. Bateman, C.D.; Muller, H.R. Negative Climb Rate After Take-Off Warning System with Predetermined Loss of Altitude Inhibit. Canada Patent CA1058305, 10 July 1979. [Google Scholar]
  8. Paterson, N.S.; Vermilion, E.E. Negative Climb after Take-Off Warning System. U.S. Patent US4951047, 21 August 1990. [Google Scholar]
  9. Bateman, C.D. Terrain Clearance Warning System for Aircraft. Canada Patent CA1128627, 27 July 1982. [Google Scholar]
  10. Muller, H.R.; Bateman, C.D. Glide Slope Warning System with a Variable Warning Rate. Canada Patent CA1070803, 29 January 1980. [Google Scholar]
  11. Xiao, W.; Zhu, X.; Zhou, Z. An automatic ground test method for the analogue unit of ground proximity warning system. In Proceedings of the Quality Reliability Risk Maintenance and Safety Engineering International Conference, Xi’an, China, 17–19 June 2011; pp. 281–283. [Google Scholar]
  12. Michael, C.; Dorneich, P.M.; Michael, D.G. Design and evaluation of an integrated avionics alerting system. In Proceedings of the 20th Digital Avionics Systems Conference, Daytona Beach, FL, USA, 14–18 October 2001; pp. 14–18. [Google Scholar]
  13. Johnson, S.C.; Muller, H.R. Method and Apparatus for Determining Altitude. European Patent EP1058816, 7 April 2004. [Google Scholar]
  14. Ishihara, Y.; Gremmert, S.; Johnson, C. Apparatus, Method, and Computer Program Product for Generating Terrain Clearance Floor Envelopes about a Selected Runway. Germany Patent DE60011996, 21 July 2005. [Google Scholar]
  15. Bateman, C.D. Ground Proximity Warning System with Time Based Mode Switching. Canada Patent CA1177562, 6 November 1984. [Google Scholar]
  16. Breen, B.C. Controlled Flight Into Terrain and the enhanced Ground Proximity Warning system. IEEE Aerosp. Electron. Syst. 2002, 14, 19–24. [Google Scholar] [CrossRef]
  17. Josel, S. Development of the Forward Looking Terrain Avoidance in a Terrain Awareness and Warning System (TAWS); Graz University of Technology: Graz, Austria, 2012. [Google Scholar]
  18. Gang, X.; Fang, H.; Wu, J. Research on an EGPWS/TAWS simulator with forward-looking alerting function. In Proceedings of the IEEE/AIAA 33rd Digital Avionics Systems Conference (DASC), Colorado Springs, CO, USA, 5–9 October 2014; pp. 7D4-1–7D4-11. [Google Scholar]
  19. Zhou, Y.; Zhou, C.Z.; Chen, G.Y. A Helicopter Forward-Looking Terrain Warning Method. China Patent CN105844972B, 18 May 2018. [Google Scholar]
  20. Dong, S.; Li, W.J.; Zhou, Y.H. Modeling and simulation of enhanced ground proximity warning system. In Proceedings of the 2nd International Symposium on Systems and Control in Aerospace and Astronautics, Shenzhen, China, 10–12 December 2008; pp. 1–4. [Google Scholar]
  21. Fu, Y.; Zhao, X.D. Simulation research and design of flight simulator enhanced ground proximity warning system. Meas. Control. Technol. 2021, 40, 101–104. [Google Scholar]
  22. Zhang, H.M.; Yang, C. Forward-looking alerting threshold analysis of TAWS based on probability methods. J. Syst. Simul. 2013, 25, 253–259. [Google Scholar]
  23. Zhang, S.Y.; Lu, Y. Helicopter forward looking alert method for low-altitude flight based on terrain matching. J. Beijing Univ. Aeronaut. Astronaut. 2019, 45, 340–346. [Google Scholar]
  24. Johnson, S.C.; Ishihara, Y. System for monitoring RNP for safe terrain clearance. European Patent EP1857781, 14 April 2010. [Google Scholar]
  25. Clapp, P.; Howson, D. Report for UK Civil Aviation Authority on Class A Terrain Awareness Warning System (TAWS) for Offshore Helicopter Operations; CAA: London, UK, 2017. [Google Scholar]
  26. Anderson, T.; Jones, W.; Beamon, K. Design and implementation of TAWS for rotary wing aircraft. In Proceedings of the Aerospace Conference, Big Sky, MT, USA, 5–12 March 2011; pp. 1–7. [Google Scholar]
Figure 1. Examples of FLTA caution and warning envelopes.
Figure 1. Examples of FLTA caution and warning envelopes.
Aerospace 09 00693 g001
Figure 2. FLTA implementation block diagram.
Figure 2. FLTA implementation block diagram.
Aerospace 09 00693 g002
Figure 3. Trapezoidal boundary.
Figure 3. Trapezoidal boundary.
Aerospace 09 00693 g003
Figure 4. The pipe-shaped boundary.
Figure 4. The pipe-shaped boundary.
Aerospace 09 00693 g004
Figure 5. The terrain contour map.
Figure 5. The terrain contour map.
Aerospace 09 00693 g005
Figure 6. The 3D terrain and simulation trajectory.
Figure 6. The 3D terrain and simulation trajectory.
Aerospace 09 00693 g006
Figure 7. RFLTA example for rectilinear flight: (a) horizontal view; (b) vertical view.
Figure 7. RFLTA example for rectilinear flight: (a) horizontal view; (b) vertical view.
Aerospace 09 00693 g007
Figure 8. RFLTA example for curvilinear flight: (a) horizontal view; (b) vertical view.
Figure 8. RFLTA example for curvilinear flight: (a) horizontal view; (b) vertical view.
Aerospace 09 00693 g008
Figure 9. Comparison results of the two methods. (a) Horizontal alert; (b) traditional method vertical alert; (c) RFLTA method vertical alert.
Figure 9. Comparison results of the two methods. (a) Horizontal alert; (b) traditional method vertical alert; (c) RFLTA method vertical alert.
Aerospace 09 00693 g009
Figure 10. Two boundaries on the horizontal flight curve.
Figure 10. Two boundaries on the horizontal flight curve.
Aerospace 09 00693 g010
Figure 11. Terrain curve comparison.
Figure 11. Terrain curve comparison.
Aerospace 09 00693 g011
Table 1. The RFLTA alert results under different alert types.
Table 1. The RFLTA alert results under different alert types.
Alert TypeRoll AngleDLARadio AltitudeTime to Impact
Caution Terrain1.62 km101 m10.46 s
Warning Terrain6.32°2.35 km225 m5.86 s
Table 2. The alert results under two methods in turning flight.
Table 2. The alert results under two methods in turning flight.
Total EpochNR*Boundary TypeNT*NC*NFNMHm (m)Hs (m)
First turning 4710Trapezoid120120−10.435.8
Pipe0000−2.129.9
Second turning 25164Trapezoid132438921−103.9125.4
Pipe65623213.137.6
* Note: NR represents the number of real alerts. NT represents the total alerts under different methods. NC represents the number of correct alerts.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Chen, R.; Zhao, L. A Resilient Forward-Looking Terrain Avoidance Warning Method for Helicopters. Aerospace 2022, 9, 693. https://doi.org/10.3390/aerospace9110693

AMA Style

Chen R, Zhao L. A Resilient Forward-Looking Terrain Avoidance Warning Method for Helicopters. Aerospace. 2022; 9(11):693. https://doi.org/10.3390/aerospace9110693

Chicago/Turabian Style

Chen, Rui, and Long Zhao. 2022. "A Resilient Forward-Looking Terrain Avoidance Warning Method for Helicopters" Aerospace 9, no. 11: 693. https://doi.org/10.3390/aerospace9110693

APA Style

Chen, R., & Zhao, L. (2022). A Resilient Forward-Looking Terrain Avoidance Warning Method for Helicopters. Aerospace, 9(11), 693. https://doi.org/10.3390/aerospace9110693

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop