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ASCENT-1 SUBSYSTEM

Autonomous Flight

The flight controller, ArduPilot configuration, and mission state machine that fly every ASCENT-1 behavior — and always have a safe exit.

Autonomous Flight overview

Overview

The Autonomous Flight subsystem is the aircraft's flight brain: a Cube Orange+ running ArduPilot, driven by a small, explicit mission state machine on the companion computer. The aircraft moves through INIT → SEARCH → CONFIRM → COMMIT → LOITER → RTL.

Two rules shape every transition — verify preconditions before entering a state, and make every failure path end in return-to-launch.

Engineering Objectives

  • Fly the competition mission autonomously from takeoff to landing.
  • Cover the search area efficiently without bleeding speed at lane turns.
  • Guarantee that any timeout or fault ends safely in return-to-launch.
  • Prove every flight behavior in simulation before flying it on the airframe.

Major Components

Cube Orange+ (ArduCopter)

The flight controller that executes waypoints, modes, and failsafes.

Mission state machine

The companion-side controller that sequences the mission and gates every transition on verified preconditions.

Lawnmower planner

Generates a boustrophedon AUTO mission over the search boundary with a final RTL item.

Fixed-heading sweep

WP_YAW_BEHAVIOR = 0 keeps a constant nose heading so lane turns are pure translation.

Failsafe stack

GCS failsafe, RTL on timeout, and an AUTO mission that ends safely on its own.

SITL rehearsal

The same code and parameters flown in simulation before the propellers are real.

Integration with ASCENT-1

Autonomous Flight consumes verified commands from AI & Communication and target coordinates from Computer Vision, and flies the coverage plan produced by Mission Planning. It draws propulsion power from Power Systems and actuates the Payload Systems release at the target.

The AUTO mission is uploaded and verified before takeoff, and the sequence enters AUTO on the ground so ArduCopter's takeoff item performs the climb to the search altitude.

Subsystem Architecture

Autonomous Flight architecture
The mission state machine — the happy path runs left to right and every timeout collapses to RTL.

Engineering Gallery

Lawnmower coverage of the boundary with a fixed nose heading; lane turns are pure translation reversals.
Detections are debounced 3-of-5 before the aircraft will commit to a target.

Technical Highlights

Verify before transition

No state is entered without confirmed preconditions — mission stored, mode confirmed, target promoted.

Every path ends home

Timeouts, a dead companion process, or an exhausted mission all resolve to RTL.

No wasted yaw

A fixed heading keeps the 8 m/s sweep speed and a constant camera orientation.

SITL-first

Every behavior is rehearsed in simulation with the same code and parameters before real flight.

  • Add wind-aware lane spacing to the coverage planner.
  • Expand automated SITL regression coverage for edge-case transitions.
  • Introduce in-air replanning when a search comes up empty.

Quick Links

Contact Us

Sunday – Thursday 9:00 AM – 5:00 PM
Aerospace Engineering Laboratory (AE Lab), Building 75, First Floor, KFUPM
ascentkfupm@gmail.com

About KFUPM ASCENT

KFUPM ASCENT is the official Unmanned Aircraft Systems team of King Fahd University of Petroleum & Minerals, representing the university in the SUAS competition through autonomous aerial systems, computer vision, and advanced aerospace engineering.