Slosh Measuring Sensor System for Liquid-Carrying Robots
Liquid-carrying robots require slosh suppression methods to improve their performance. To design these systems requires effective slosh measurement. State-of-the-Art slosh estimation methods have limitations, which include solely handling unidirectional motion or relying on theoretical models. This letter proposes a novel sensor array for measuring sloshing in liquid-carrying mobile robots. The proposed system offers two key contributions: first, it enables comprehensive measurement and visualization of sloshing during omnidirectional movements, and second, it provides a compact and seamless integration into mobile robots, enabling them to mitigate the adverse effects of sloshing. The sensor system has been developed using 14 time-of-flight range sensors. The range sensors are connected to an Arduino Mega through I<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula> C communication. A 3-D visualization method has also been developed to visualize the sloshing. The sensor array was integrated into a mobile robot for validation. Utilizing the 3-D visualization method, the sensor system can reconstruct the liquid surface with a sampling rate of 17.8 Hz. The experimental results confirm that the proposed sensor system effectively measures sloshing during omnidirectional movement of the robot.
Authors
- Zaki Saptari Saldi (ORCID: https://orcid.org/0000-0003-3586-5904)
- Mohan Rajesh Elara (ORCID: https://orcid.org/0000-0001-6504-1530)
- M. A. Viraj J. Muthugala (ORCID: https://orcid.org/0000-0002-3598-5570)
- S. M. Bhagya P. Samarakoon (ORCID: https://orcid.org/0000-0002-3458-5006)
- Luke J. Weaver (ORCID: https://orcid.org/0009-0002-0257-1416)
Institutions
- Singapore University of Technology and Design (SG)
Publication Details
- Journal
- IEEE Sensors Letters
- Published
- 2024-10-02
- DOI
- https://doi.org/10.1109/lsens.2024.3473688
- Citations
- 1
- Primary Topic
- Water Quality Monitoring Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.20