Aerospace and Electronic Systems - November 2018 - 62

A Simplified Virtual Obstacle Avoidance Approach for Aircraft Altitude Bounded Flight Maneuvers
erator (SCOMG) code that generates
some more complex terrain profiles.
Figure 9 shows some of the outputs
of SCOMG.
Figure 10 illustrates the results
of aircraft optimum trajectory over
two different pentagonal SVOM and
three different scenarios including
cost functions defined to minimize
the time, height, and vertical acceleration. In both cases, the optimal path
for minimum height follows the shape
of the obstacle whereas for minimum
time scenario a straight and short path
is followed. The minimum vertical acceleration path is suitable for a longtime glide flight. Table 5 summarizes
the results related to the Figure 10.

CONCLUSION AND FUTURE
WORK

Figure 7.

Aircraft optimal trajectory, AoA, and throttle setting history for Triangle TOAF.

Figure 8.

Aircraft speed, flight path angle, and altitude change rate history for triangle TOAF.

62

IEEE A&E SYSTEMS MAGAZINE

In this article, a simplified virtual
model of obstacles is generated via
the concept of conformal mapping
using the Schwartz-Christoffel theorem. The trajectory-planning process
does not demand exact information
of the obstacle or terrain profile. The
trajectories were generated for multiple SVOMs for the minimum time,
height, and vertical acceleration and
a composite TF performance index.
To obtain more feasible solutions,
the aircraft maximum RoC and RoD
are also considered as an inequality
constraint in the direct pseudospectral
algorithm.
It is observed that for heightoptimal scenarios the aircraft flies
near the SVOM with low-elevations,
whereas in the time-optimal cases the
aircraft flies a straight short path with
the maximum speed to destination.
In the minimum vertical acceleration
scenario, the aircraft selects a longduration path with the minimum use
of the throttle.
The results show the effectiveness of the proposed approach in
simplifying the effect of barriers in
the low-altitude route design process,
which could be inferred as a novel
framework for using of unconstrained
trajectory planning algorithms in constrained problems.
NOVEMBER 2018



Aerospace and Electronic Systems - November 2018

Table of Contents for the Digital Edition of Aerospace and Electronic Systems - November 2018

Contents
Aerospace and Electronic Systems - November 2018 - Cover1
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Aerospace and Electronic Systems - November 2018 - Contents
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