NDLI: Parameters Optimization of the Heating Furnace Control Systems Based on BP Neural Network Improved by Genetic Algorithm

Content Provider	Tech Science Press
Author	Wang, Xiaokan Wang, Qiong
Abstract	The heating technological requirement of the conventional PID control is difficult to guarantee which based on the precise mathematical model, because the heating furnace for heating treatment with the big inertia, the pure time delay and nonlinear time-varying. Proposed one kind optimized variable method of PID controller based on the genetic algorithm with improved BP network that better realized the completely automatic intelligent control of the entire thermal process than the classics critical purporting (Z-N) method. A heating furnace for the object was simulated with MATLAB, simulation results show that the control system has the quicker response characteristic, the better dynamic characteristic and the quite stronger robustness, which has some promotional value for the control of industrial furnace.
Related Links	https://www.techscience.com/jiot/v2n2/40132
Starting Page	75
Ending Page	80
ISSN	25790099
DOI	10.32604/jiot.2020.010226
Issue Number	2
Journal	Journal on Internet of Things (JIOT)
Volume Number	2
e-ISSN	25790080
Language	English
Publisher Date	2020-09-14
Access Restriction	Open
Subject Keyword	PID control heating furnace BP neural network Genetic algorithm parameter optimization
Content Type	Text
Resource Type	Article
Subject	Computer Science

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Parameters Optimization of the Heating Furnace Control Systems Based on BP Neural Network Improved by Genetic Algorithm