The Temperature Control of Electric Furnace Based on PID Genetic Algorithm
2012 ◽
Vol 490-495
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pp. 828-834
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Keyword(s):
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.
2021 ◽
Vol 22
(11)
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pp. 601-609
Keyword(s):
Keyword(s):
2014 ◽
Vol 525
◽
pp. 583-587
2012 ◽
Vol 482-484
◽
pp. 2600-2604
2014 ◽
Vol 494-495
◽
pp. 1246-1248
Keyword(s):
2014 ◽
Vol 532
◽
pp. 204-207
2011 ◽
Vol 271-273
◽
pp. 983-986
Keyword(s):