The Temperature Simulation Control Technology Research of a Box Heat Treatment Furnace Based On Fuzzy Adaptive PID
Jingjing Yang
Abstract
Jingjing Yang
Abstract
In this paper,the mathematical model of the heat treatment furnace was built through the mechanism analysis of the heat treatment furnace temperature.Because of the high-precision request of temperature control in the actual production process,and the characteristics of serious nonlinear,hysteresis,large inertia and model structure uncertainty of furnace temperature,the article used the adaptive fuzzy PID control algorithm to build the intelligent controller which is based on conventional PID control and fuzzy control technology.With the help of simulation platform of Matlab,the simulations of conventional PID control system,fuzzy control system and adaptive fuzzy PID control system were conducted.The simulations showed that the control precision of the adaptive fuzzy PID control method was higher.Also,the adaptive ability and stability were better.This adaptive fuzzy PID control method can meet the expected requirements which have great influence on the promotion of industrial production.
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In this paper,the mathematical model of the heat treatment furnace was built through the mechanism analysis of the heat treatment furnace temperature.Because of the high-precision request of temperature control in the actual production process,and the characteristics of serious nonlinear,hysteresis,large inertia and model structure uncertainty of furnace temperature,the article used the adaptive fuzzy PID control algorithm to build the intelligent controller which is based on conventional PID control and fuzzy control technology.With the help of simulation platform of Matlab,the simulations of conventional PID control system,fuzzy control system and adaptive fuzzy PID control system were conducted.The simulations showed that the control precision of the adaptive fuzzy PID control method was higher.Also,the adaptive ability and stability were better.This adaptive fuzzy PID control method can meet the expected requirements which have great influence on the promotion of industrial production.
Key concepts: PID controller, Control theory (sociology), Temperature control, Control engineering, Fuzzy logic, MATLAB, Fuzzy control system, Control system