Fuzzy Adaptive Control for Multi-Dimensional Temperature Regulation in Electrical Equipment: A Comparative Analysis with PID Control
Abstract
This study proposes a fuzzy adaptive control system for multi-dimensional temperature regulation in electrical equipment and compares its performance against a traditional PID control system. Experiments were conducted under controlled ambient temperatures (15–45°C) and load conditions (0.5–5 kW), evaluating temperature stability (±0.5°C setpoint), response time, and energy efficiency. Results demonstrate that the fuzzy adaptive system reduced temperature fluctuations by 32.7% and improved energy efficiency by 18.4% compared to PID control. The fuzzy controller-maintained temperature within ±0.8°C under dynamic disturbances, outperforming PID (±2.5°C). These findings highlight the superiority of fuzzy adaptive control in complex thermal environments, offering enhanced stability and energy savings for industrial applications.
DOI:
https://doi.org/10.31449/inf.v49i13.8225Downloads
Published
03/03/2026
How to Cite
Wang, M., & Zhu, Q. (2026). Fuzzy Adaptive Control for Multi-Dimensional Temperature Regulation in Electrical Equipment: A Comparative Analysis with PID Control. Informatica, 49(13). https://doi.org/10.31449/inf.v49i13.8225
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Online-only
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