Analysis of multi-load distribution channel characteristics for air conditioner application
Kyeong-Han Shin,
Seong-Jin Kim,
Kwon-Hyung Lee and
Jong-Won Yu
Journal of Electromagnetic Waves and Applications, 2025, vol. 39, issue 11, 1288-1299
Abstract:
This paper presents an analysis of multi-load distribution channel characteristics for air conditioner communications using Recommended Standard-485 (RS-485). In this communication environment, the communication channels have distributed long characteristics because a transmitter (Tx) is connected to numerous receivers (Rx) in specific areas, such as buildings and factories. Due to these conditions, impedance matching characteristics are affected according to the data rate. Therefore, it is necessary to analyze the multi-load distribution channel characteristics for high data rate. For characterizing the two distinctive features of this channel, we initially analyzed the communication cable in terms of transmission line theory. Combining the cable and RS-485 circuit in the circuit-level simulation, we constructed the multi-load distribution channel. We validated the RLGC model, propagation constant and characteristic impedance of the cable, forming the channel and utilized these parameters to evaluate eye diagram integrity. As a result, in an established specific scenario, the maximum error rate of eye width and height between simulated and measured results was 9.46% at Rx4, and 6.55% at Rx1, at bit rate of 57.6 kbps, respectively.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/09205071.2025.2502776 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tewaxx:v:39:y:2025:i:11:p:1288-1299
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tewa20
DOI: 10.1080/09205071.2025.2502776
Access Statistics for this article
Journal of Electromagnetic Waves and Applications is currently edited by Mohamad Abou El-Nasr and Pankaj Kumar Choudhury
More articles in Journal of Electromagnetic Waves and Applications from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().