Autonomous Docking Method via Non-linear Model Predictive Control
December 27, 2023 Β· Declared Dead Β· π 2023 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)
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Authors
Roni Permana Saputra, Midriem Mirdanies, Eko Joni Pristianto, Dayat Kurniawan
arXiv ID
2312.16629
Category
cs.RO: Robotics
Cross-listed
eess.SY
Citations
3
Venue
2023 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)
Last Checked
3 months ago
Abstract
This paper presents a proposed method of autonomous control for docking tasks of a single-seat personal mobility vehicle. We proposed a non-linear model predictive control (NMPC) based visual servoing to achieves the desired autonomous docking task. The proposed method is implemented on a four-wheel electric wheelchair platform, with two independent rear driving wheels and two front castor wheels. The NMPC-based visual servoing technique leverages the information extracted from a visual sensor as a real-time feedback for the NMPC to control the motion of the vehicle achieving the desired autonomous docking task. To evaluate the performance of the proposed controller method, a number of experiments both in simulation and in the actual setting. The controller performance is then evaluated based on the controller design requirement. The simulation results on autonomous docking experiments show that the proposed controller has been successfully achieve the desired controller design requirement to generate realtime trajectory for the vehicle performing autonomous docking tasks in several different scenarios.
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