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CASE STUDY // SYS-WILDHAWK-1-0Operational Flight Test Platform

WildHawk 1.0 — Autonomous Surveillance UAV

High-endurance tactical autonomous reconnaissance drone built for environmental and wildlife tracking.

#AERIAL#AUTONOMY#AVIONICS#ROBOTICS
DEVELOPMENT YEAR2025
MY ROLEAvionics System Architecture & Flight Testing
TEAM STRUCTUREAero-Modelling Team Lead
VALIDATION STATUSOperational Flight Test Platform
THE ENGINEERING PROBLEM

Commercial off-the-shelf surveillance UAVs lack extended endurance and modular payload telemetry customization for terrain monitoring.

THE ARCHITECTURAL SOLUTION

Developed a custom-built UAV platform featuring streamlined aerodynamic composite construction, long-range telemetry links, and mission autonomy.

SYSTEM OVERVIEW & ARCHITECTURE

WildHawk 1.0 features custom avionics wiring, long-range RF telemetry, and automated waypoint flight execution using ArduPilot flight stacks.

SYSTEM ARCHITECTURE BLOCK DIAGRAM FLOW:
ArduPilot Master Stack → 433MHz Long-Range Telemetry → Ground Control Station (QGroundControl) with automated mission scripting.
KEY TECHNICAL HIGHLIGHTS:
  • ✓Optimized flight endurance through lightweight composite materials and efficient motor thrust profiling.
  • ✓Integrated telemetry logging for post-flight aerodynamic performance validation.
HARDWARE & ELECTRONICS
  • Custom Aerodynamic Airframe
  • ArduPilot Flight Controller
  • Long-Range Telemetry Radio
  • BLDC Motors & Telemetry ESCs
SOFTWARE & FIRMWARE
  • ArduPilot
  • QGroundControl
  • Mission Planner
  • Python Data Logging
ALGORITHMS & CONTROL LOOPS
  • Waypoint Mission Generator
  • Failsafe Return-To-Home (RTH)
  • Battery Telemetry Estimation
COMMUNICATION PROTOCOLS
  • MAVLink
  • Telemetry Radio
  • PWM
  • PPM

ENGINEERING CHALLENGES OVERCOME

  • Balancing structural rigidity against weight budgets during high-speed maneuvering tests.

MY DIRECT CONTRIBUTIONS

  • Designed electrical wiring schematic, battery management system, and telemetry integration.
  • Executed flight envelope testing and tuning PID control gains.

VALIDATED SYSTEM RESULTS

  • ▸Demonstrated stable autonomous waypoint navigation and mission execution across multi-kilometer mission corridors.

KEY ENGINEERING LESSONS LEARNED

  • ▸Proper PID tuning in varying wind conditions requires rigorous HIL (Hardware-In-The-Loop) Gazebo simulation prior to maiden flights.

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