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Unmanned Aerial Vehicle (UAV) Flight Control

System Design for Pipeline Following Operation Amina Ibrahim Khaleel*, Dr. Euan McGookin#

*MSc Student at Mechanical Engineering Department, University of Glasgow, Glasgow G12 8QQ, UK ([email protected]) #Department of Aerospace Engineering, University of Glasgow, Glasgow G12 8QQ, UK ([email protected])

The focus of this dissertation is to develop a simulation model that describes the dynamics of a fixed-wing UAV, design a flight control

system using a suitable control method as well as designing an automated navigation system to make the UAV follow the pipeline path.

Introduction UAVs are robotic aircraft systems that function autonomously or

are remotely piloted. There are various applications of UAVs in

different fields, a simple example is in civil security work. In most

of the applications their main role is monitoring and close

observation of the object and terrain they fly over. One of which

is; monitoring above ground oil and gas pipelines for

maintenance purposes.

Flight control System A Proportional-Integral-Derivative (PID) controller was used to

design the flight control system using Ziegler-Nichol’s tuning

method. The PID was used to control the heading manoeuver of

the UAV. Fig 2 below illustrates the feedback flight control

system.

The feedback calculates the heading error as the difference

between the UAV’s desired heading angle,ψd and the measured

angle, ψ. This error was fed into the controller and minimised by

the use of the PID gains. Table 1 shows the gains used to obtain

a robust heading controller.

Navigation System A navigation system was developed using Line-Of-Sight (LOS)

autopilot to provide autonomous flight and guide the UAV to follow

the pipeline path. Fig 4 depicts the navigation system.

This was accomplished by a heading command to the UAV’s

heading system to approach the line of sight between its current

position (x,y) and the waypoint of the pipeline to be reached (xd,yd).

The LOS angle is given by:

The waypoint switching was designed on the basis whether the UAV

lies within the circle of acceptance defined around the particular

pipeline waypoint with R as its radius.

If

is satisfied, then the selection of next waypoint is triggered else the

waypoint is not reached[1]. With this mechanism the UAV was able

to follow the pipeline as shown in Fig 5 below.

In Fig 5, the UAV is seen to follow the pipeline path and is able to

manoeuver to acquire all meandering turns. This depicts an effective

autopilot. With a larger acceptance radius, the UAV is seen to follow

the pipeline more closely.

For a closer tracking, the UAV was designed to follow the pipeline

within a corridor of ±50m. The wider the corridor the more flexible

the UAV turns without saturating the rudder.

Conclusion In conclusion, the use of PID control method has been shown to

provide robust flight performance of the UAV. Waypoint acquisition

using LOS guidance shows that the scheme is robust.

Reference [1] Anthony J. Healey, D. L. (1993). Multivariable sliding-mode

control for autonomous diving and steering of unmanned underwater

vehicle. IEEE journal of oceanic engineering , 18 (3), 327.

University of Glasgow, charity number SC004401

Fig 1: Fixed-wing UAV following a Pipeline

PID Controller

UAV + -

ψ Δψ ψd u

Fig 2: Flight Control System

Table 1: Table of gains

Fig 3 shows a stable and

robust heading controller

response, with no overshoot,

zero steady state error for a

45° change in heading and

approximately 10s response

time. With this heading

manoeuver, the rudder

response is still within ±45°

i.e not saturated.

Ψd = arctan2 (yd – y , xd - x) (1)

Position feedback (x,y)

PID

Controller UAV LOS

Autopilot

Δψ ψd u

Heading Feedback, ψ

(xd,yd)

waypoints

+ -

Fig 4: Navigation System

R2 ≥ [ (yd-y)2 + (xd+x)2 ] (2)

Fig 5: UAV Following Pipeline Path

Kp Kd Ki

5 12 0.0012

Fig 3: Closed-loop Heading

and Rudder response

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