Intelligent Control Method for Aircraft Deicing Fluidtemperature Based on a New Adaptive Smith Predictor

Abstract:

During the course of industry control, pure hysteresis, time-varying，non- linear complex systems often occur. It is ineffective to solve the issues above with the traditional fuzzy control and PID control methods. Against the pure hysteresis, time-varying, non- linear characteristics of Aircraft Deicing Fluid rapid heating system, on the basis of Smith Predictor and traditional PID, a Fuzzy-PID control method is proposed based on an adaptive Smith predictor. In this way, pure hysteresis of the system will be compensated, to reduce the overshoot and enhance the stability of the system. By establishing the mathematical model of Aircraft Deicing Fluid rapid heating system and simulating for the model obtain the simulation results, which have shown that the method is effective, can improve the qualities of control and enhance the stability of temperature control system significantly

• Periodical: Advanced Materials Research (Volumes 424-425)
• Pages: 936-940
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.424-425.936
• Online since: January 2012
• Authors: Zhi Wei Xing, Bing Jun Ding
• Keywords: Adaptive Smith, Aircraft Deicing Fluid, Fuzzy Control, Intelligent Control

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