2011Journal of North China Institute of Water Conservancy and Hydroelectric PowerRequires access

Temperature Control System of Resistance Furnace Based on Adaptive Fuzzy PID

XU Yu-zhong

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Abstract

Taking temperature control of resistance furnaces as an object,conventional PID control system for temperature was simulated by the adaptive fuzzy PID control algorithm and SIMULINK of MATLAB software due to some characteristics of temperature such as the nonlinearity,the time-varying property and the hysteresis quality,as well as problems like large-scaled overshoot and long-term adjustment.The simulation results showed that the adaptive fuzzy PID control has good control performance.Finally,PLC realization method was provided for the adaptive fuzzy PID control system.

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What this paper is about

Taking temperature control of resistance furnaces as an object,conventional PID control system for temperature was simulated by the adaptive fuzzy PID control algorithm and SIMULINK of MATLAB software due to some characteristics of temperature such as the nonlinearity,the time-varying property and the hysteresis quality,as well as problems like large-scaled overshoot and long-term adjustment.The simulation results showed that the adaptive fuzzy PID control has good control performance.Finally,PLC realization method was provided for the adaptive fuzzy PID control system.

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Available abstract

Taking temperature control of resistance furnaces as an object,conventional PID control system for temperature was simulated by the adaptive fuzzy PID control algorithm and SIMULINK of MATLAB software due to some characteristics of temperature such as the nonlinearity,the time-varying property and the hysteresis quality,as well as problems like large-scaled overshoot and long-term adjustment.The simulation results showed that the adaptive fuzzy PID control has good control performance.Finally,PLC realization method was provided for the adaptive fuzzy PID control system.

Key concepts: PID controller, Overshoot (microwave communication), Control theory (sociology), Temperature control, MATLAB, Realization (probability), Fuzzy control system, Control engineering

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