Abstract
This work introduces a new system with adaptive landing legs to improve the versatility of quadrotor aerial platforms, facilitating safe take-off and landing on sloping surfaces. The design has a lightweight, symmetric leg construction powered by a single servomotor, reducing weight and streamlining wiring, while ensuring stability and balance in flight. To achieve accurate landings on slopes, essential data - including distance, slope orientation, and surface angle - is collected by a multi-zone Time-of-Flight sensor, which demonstrates resilience to visual distortions and fluctuating lighting conditions, surpassing conventional imaging techniques. Landing manoeuvre control is refined using MATLAB simulations, whereby we implement and compare proportional-integral-derivative (PID) and fractional-order PID controllers, emphasising the superior stability and precision of our control methodology. This design markedly enhances the manoeuvrability of quadrotors in difficult terrains.
Original language | English |
---|---|
Title of host publication | 2025 21st IEEE International Colloquium on Signal Processing and Its Applications, CSPA 2025 - Conference Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 67-71 |
Number of pages | 5 |
Edition | 2025 |
ISBN (Electronic) | 9798331522193 |
DOIs | |
State | Published - 2025 |
Event | 21st IEEE International Colloquium on Signal Processing and Its Applications, CSPA 2025 - Pulau Pinang, Malaysia Duration: 7 Feb 2025 → 8 Feb 2025 |
Conference
Conference | 21st IEEE International Colloquium on Signal Processing and Its Applications, CSPA 2025 |
---|---|
Country/Territory | Malaysia |
City | Pulau Pinang |
Period | 7/02/25 → 8/02/25 |
Bibliographical note
Publisher Copyright:© 2025 IEEE.
Keywords
- Landing legs
- Quadrotor
- Sloping surfaces
- Time of flight and FOPID
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Signal Processing
- Media Technology
- Control and Optimization
- Modeling and Simulation