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Parameters Optimization of the Heating Furnace Control Systems Based on BP Neural Network Improved by Genetic Algorithm 被引量:4

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摘要 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.
出处 《Journal on Internet of Things》 2020年第2期75-80,共6页
基金 This work was supported by the youth backbone teachers training program of Henan colleges and universities under Grant No.2016ggjs-287 the project of science and technology of Henan province under Grant No.172102210124 the Key Scientific Research projects in Colleges and Universities in Henan(Grant No.18B460003).
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