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Trajectory shaping guidance for impact angle control of planetary hopping robots
Sabyasachi Mondal1, Saurabh Upadhyay1
1Centre for Autonomous and Cyber-Physical Systems, Faculty of Engineering and Applied Sciences, Cranfield University, Cranfield, United Kingdom.
This study introduces a new control method for planetary hopping robots to reduce landing errors. The Generalized Vector Explicit (GENEX) guidance improves trajectory control, minimizing position drift for more accurate landings.
Area of Science:
- Robotics
- Planetary Exploration
- Control Systems
Background:
- Planetary hopping robots face challenges with uncontrolled in-flight and after-landing motions, causing position drift.
- Accurate landing and trajectory control are crucial for robotic exploration of extraterrestrial surfaces.
Purpose of the Study:
- To present a novel optimal trajectory-shaping control concept for planetary hopping robots.
- To address and mitigate position drift caused by uncontrolled motions during hopping maneuvers.
- To enhance landing accuracy by controlling the impact angle and handling initial angle errors.
Main Methods:
- Utilizing the Generalized Vector Explicit (GENEX) guidance for optimal trajectory generation and shaping.
- Implementing the control concept on a thruster-based hopping robot.
- Generating lateral acceleration through thruster orientation control.
- Conducting extensive simulations on various surfaces and conditions.
Main Results:
- The proposed GENEX guidance successfully shapes optimal trajectories and satisfies end-point constraints, including impact angle.
- The control concept significantly reduces position drift at landing.
- The system demonstrates the ability to handle errors in initial hopping angles.
- Simulations confirm the impact angle's effect on position drift and the approach's viability on horizontal and sloped surfaces.
Conclusions:
- The novel optimal trajectory-shaping control concept effectively enhances the performance of planetary hopping robots.
- GENEX guidance provides a robust method for controlling hopping robot trajectories and minimizing landing errors.
- The approach offers a viable solution for improving the accuracy and reliability of planetary surface exploration robots.
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