Surface Temperature Prediction Method for Multi-zone Electric Heating Anti-icing Based on LSTM

RAN Lin; XIONG Jianjun; ZHU Yalan; ZHAO Jieyi; WANG Qiang

doi:10.7643/ issn.1672-9242.2025.12.005

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Equipment Environmental Engineering ›› 2025, Vol. 22 ›› Issue (12) : 31-38. DOI: 10.7643/ issn.1672-9242.2025.12.005

Aviation and Aerospace Equipment

Surface Temperature Prediction Method for Multi-zone Electric Heating Anti-icing Based on LSTM

RAN Lin, XIONG Jianjun, ZHU Yalan, ZHAO Jieyi, WANG Qiang^*

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Abstract

Focusing on the key indicator of surface temperature in the verification test and system optimization design of electric heating anti-icing, the work aims to study the multi-zone electric heating surface temperature prediction method. With the leading edge of the multi-zone electric heating distribution wing component as the object, surface temperature measurement points were set at the center and junction of its heating zone to conduct icing wind tunnel tests on electric heating for preventing ice and freezing, and analyze the relationship between temperature changes and multi-zone heating control laws. Based on the experimental content and parameter data, considering the long-term dependence characteristics of temperature parameters, a long short-term memory (LSTM) network was proposed to establish a surface temperature prediction model. Based on the characteristics of the surface temperature measurement point locations in the heating zone, the prediction performance of models incorporating single temperature data from different measurement point locations, as well as models without temperature data from measurement points, was discussed. There were some differences in the prediction performance among different input items, but the trend of the predicted values and the measured values was basically consistent and the difference was small, with a correlation coefficient of over 89% and a root mean square error of less than 2. However, selecting a single measurement point in the middle region had the best overall prediction performance, with a correlation coefficient of over 96% and a root mean square error of less than 1. Modeling and predictive validation have been conducted only for the surface temperature of a multi-zone electric heating anti-icing test on a certain wing component. The surface temperature prediction for electric heating anti-icing on other aircraft components still requires further verification.

Key words

multi-zone electric heating anti-icing / surface temperature / icing wind tunnel tests / long-term dependence characteristics / long short-term memory network / prediction model

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RAN Lin, XIONG Jianjun, ZHU Yalan, ZHAO Jieyi, WANG Qiang. Surface Temperature Prediction Method for Multi-zone Electric Heating Anti-icing Based on LSTM[J]. Equipment Environmental Engineering. 2025, 22(12): 31-38 https://doi.org/10.7643/ issn.1672-9242.2025.12.005

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