ARM-Based Resistance Furnace Neural Network Temperature Control System Design

Author:

Fang Hong1,Li Hong Lian1

Affiliation:

1. Chengdu University

Abstract

to promote the measuring and controlling precisions of temperature control system, in this paper, a temperature detecting circuit is made up of thermocouple and digital conversion chip MAX6675 with ARM chip at its core. The PID control algorithm of single neural network is also brought up herein and adopted in simulating the temperature control system of resistance furnace. The result shows that PID control algorithm of single neural network can achieve better controlling effects than the traditional one and realize precise control over temperature.

Publisher

Trans Tech Publications, Ltd.

Reference6 articles.

1. Wang Lingcun, Bai Jianyun, The Application of Resistance Furnace Control System Based on Model Reference Controller of Neural Network-PID, [J] JOURNAL OF ELECTRIC POWER, 2009(5).

2. Yan Xiangyong, Dong Zhixue, Ma Beifei, Fuzzy PID Temperature Control System's Design Based on LPC2368, [J] ELECTRONIC MEASUREMENT TECHNOLOGY, 2009(3).

3. Yu Zongquan et al. Neural Network Control [M] Xi'an: Xi'an Electronic and Engineering University Press, 2009, 35~167.

4. Hu Ligang, Xu Weiming, Research and Design of Embedded Neural Network PID Controller, [J] COMPUTER MEASUREMENT AND CONTROL, 2010. 18(9).

5. Cheng Peng, Modern Control Theoretical Basis [M] Beijing: Beijing Aeronautics Press, 2010, 50~109.

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