Design and Model Predictive Control of Mars Coaxial Quadrotor
Akash Patel, Avijit Banerjee, Bjorn Lindqvist, Christoforos, Kanellakis, George Nikolakopoulos

TL;DR
This paper presents a novel Mars coaxial quadrotor design and a Model Predictive Control framework for autonomous navigation in challenging Martian terrains, demonstrating improved control performance over traditional PID controllers.
Contribution
It introduces an innovative quadrotor design and a MPC-based control architecture tailored for Martian exploration, enhancing autonomy and robustness compared to existing solutions.
Findings
MPC controller outperforms PID in trajectory tracking accuracy.
The proposed design demonstrates robustness under simulated Martian disturbances.
Validated control architecture shows potential for future Mars MAV missions.
Abstract
Mars has been a prime candidate for planetary exploration of the solar system because of the science discoveries that support chances of future habitation on this planet. Martian caves and lava tubes like terrains, which consists of uneven ground, poor visibility and confined space, makes it impossible for wheel based rovers to navigate through these areas. In order to address these limitations and advance the exploration capability in a Martian terrain, this article presents the design and control of a novel coaxial quadrotor Micro Aerial Vehicle (MAV). As it will be presented, the key contributions on the design and control architecture of the proposed Mars coaxial quadrotor, are introducing an alternative and more enhanced, from a control point of view concept, when compared in terms of autonomy to Ingenuity. Based on the presented design, the article will introduce the mathematical…
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Taxonomy
TopicsAdvanced Control Systems Optimization · Adaptive Control of Nonlinear Systems · Robotic Path Planning Algorithms
