Design and optimization of power supply communication system for indoor wheeled inspection robots

The existing power supply and communication system for indoor wheeled patrol robots relies on magnetic coupling mechanisms, but magnetic coupling mechanisms rarely meet the stability requirements of the system. In response to the challenge, a magnetic resonance-based wireless power and signal transmission system for robots is designed in this paper. It proposes transmitter coil switching control technology and receiver continuous energy harvesting technology, and establishes a communication model for one-to-many reception under different system states during motion. Based on this, a mathematical model for optimizing the structure of the magnetic coupling mechanism among transmitter and receiver coils was established. Optimal parameter values were determined using an enhanced particle swarm optimization algorithm (EAPSO). Experimental outcome implies that the transmission efficiency of the proposed method is 87.9%, representing an improvement of 4.8%–20.5%, and it can achieve efficient system stability control.

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Publication Details

Journal
Journal of Computational Methods in Sciences and Engineering
Published
2025-05-23
DOI
https://doi.org/10.1177/14727978251346077
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
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article

Design and optimization of power supply communication system for indoor wheeled inspection robots

Renqi Su, Shun Zhao, Hongming Shen, Yin Jou Huang
Journal of Computational Methods in Sciences and Engineering
Energy Harvesting in Wireless Networks
article

Design and optimization of power supply communication system for indoor wheeled inspection robots

Renqi Su, Shun Zhao, Hongming Shen, Yin Jou Huang
article en

Abstract

The existing power supply and communication system for indoor wheeled patrol robots relies on magnetic coupling mechanisms, but magnetic coupling mechanisms rarely meet the stability requirements of the system. In response to the challenge, a magnetic resonance-based wireless power and signal transmission system for robots is designed in this paper. It proposes transmitter coil switching control technology and receiver continuous energy harvesting technology, and establishes a communication model for one-to-many reception under different system states during motion. Based on this, a mathematical model for optimizing the structure of the magnetic coupling mechanism among transmitter and receiver coils was established. Optimal parameter values were determined using an enhanced particle swarm optimization algorithm (EAPSO). Experimental outcome implies that the transmission efficiency of the proposed method is 87.9%, representing an improvement of 4.8%–20.5%, and it can achieve efficient system stability control.

Journal of Computational Methods in Sciences and Engineering
Zhejiang Energy Group (China) (CN)
Openalex Percentile: Top 91%
Energy Harvesting in Wireless Networks
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Design and optimization of power supply communication system for indoor wheeled inspection robots — Renqi Su, Shun Zhao, et al. · Journal of Computational Methods in Sciences and Engineering (2025) | TGRS Research Map | TGRS