Feedback Linearization Based Tracking Control of A Tilt-rotor with Cat-trot Gait Plan
Zhe Shen, Yudong Ma, Takeshi Tsuchiya

TL;DR
This paper presents a feedback linearization based position and attitude tracking control method for tilt-rotors using a cat-trot gait plan, improving accuracy and reducing steady-state errors in trajectory tracking.
Contribution
It introduces a novel coupling analysis between position and attitude, and designs a gait-based control approach that avoids rapid tilting angle changes.
Findings
Significant reduction in steady-state error with the proposed controller.
The gait frequency impacts the steady-state error.
The method effectively tracks setpoint, linear, and circular references.
Abstract
With the introduction of the laterally bounded forces, the tilt-rotor gains more flexibility in the controller design. Typical feedback linearization methods utilize all the inputs in controlling this vehicle; the magnitudes as well as the directions of the thrusts are maneuvered simultaneously based on a unified control rule. Although several promising results indicate that these controllers may track the desired complicated trajectories, the tilting angles are required to change relatively fast or in large scale during the flight, which turns to be a challenge in application. The recent gait plan for a tilt-rotor may solve this problem; the tilting angles are fixed or vary in a predetermined pattern without being maneuvered by the control algorithm. Carefully avoiding the singular decoupling matrix, several attitudes can be tracked without changing the tilting angles frequently. While…
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Taxonomy
TopicsControl and Dynamics of Mobile Robots · Adaptive Control of Nonlinear Systems · Robotic Path Planning Algorithms
