Abstract
Attitude stabilization of quadcopter platforms remains challenging due to nonlinear rotational dynamics, external disturbances, and actuator limitations. This paper presents a comparative evaluation of a benchmark PID controller and two state-feedback linearization strategies for roll and pitch regulation of a 3-DoF quadcopter test-rig model. The first strategy performs partial cancellation, compensating only for nonlinear gravitational stiffness while retaining the intrinsic damping dynamics, whereas the second performs total cancellation of both linear and nonlinear terms to yield a double-integrator error model. For both cases, a state-feedback law is designed to meet transient-response specifications and ensure stable closed-loop behavior. Simulation results highlight a clear trade-off between response speed and robustness: The PID controller achieves the fastest transient response but demands significantly higher control effort and exhibits reduced robustness under disturbances. Partial cancellation provides improved stability margins and disturbance attenuation with low control effort, while total cancellation achieves a faster compromise but remains more sensitive to uncertainties. The results show that selecting the level of cancellation offers a practical design knob to balance speed, robustness, and actuator economy in laboratory quadcopter attitude control.
| Original language | English |
|---|---|
| Pages (from-to) | 349-356 |
| Number of pages | 8 |
| Journal | International Multi-Conference on Systems, Signals, and Devices, SSD |
| Issue number | 2026 |
| DOIs | |
| State | Published - 2026 |
| Event | 23rd International Multi-Conference on Systems, Signals and Devices, SSD 2026 - Catania, Italy Duration: 31 Mar 2026 → 1 Apr 2026 |
Bibliographical note
Publisher Copyright:© 2026 IEEE.
Keywords
- Attitude Control
- Feedforward Linearization
- Nonlinear Control
- PID Control
- Quadcopter
- State Feedback
- System Identification
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Information Systems
- Signal Processing
- Safety, Risk, Reliability and Quality
- Control and Optimization
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