Abstract
The characteristics of Mathematical model for the temperature’s control of resistance-heated furnace are non-linear, strong inertia, time-variant and pure delay. Adaptive genetic algorithm(AGA) was designed by the principle of the traditional PID control system, and dynamically Simulated an industrial furnace control system. Simulation and actual operation results show that using the optimization algorithm has properties of no overshoot, quick response, good robust and the algorithm is simple. It is proved that this control algorithm is a more effective one on improving the temperature’s control of the resistance-heated furnace.
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