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基于单神经元的电阻炉温度控制系统设计

Design of temperature control system of resistance furnace based on single neuron
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摘要 设计了一整套工业电阻炉温度控制系统,包括主频达200MHz的ARM9微处理器为核心的下位机,实现温度的实时检测与控制,以Freescale公司的K10系列芯片为CPU的上位机,实现监测温度与控制参数的实时显示。上、下位机的通信采用CAN协议规约,对于具有大时滞和非线性特性的温度控制对象,对比传统PID控制算法,系统采用单神经元PID控制,整套控制系统的实时操作显示良好,控制效果优异。 In this paper, a set of industrial resistance furnace temperature control system is designed, including the lower computer based on ARM9 microprocessor whose task is realizing the real-time detection and control of temperature with 200 MHz dominant frequency and the upper computer based on the K10 family chip of Freescale corporation whose mission is realizing the real-time display of detected temperature and controlled parameters. The upper computer communicated with the lower computer through CAN protocol. The single neuron PID is used as the algorithm for the large delay and nonlinear temperature control object in contrast to the traditional PID algorithm. The whole control system has the excellent real-time display of operation and control effect.
作者 田波 周武能
出处 《自动化与仪器仪表》 2015年第9期192-193 196,196,共3页 Automation & Instrumentation
基金 上海市自然科学基金(15ZR1401800) 东华大学研究生创新基金(EG2015024)
关键词 嵌入式 温度控制 单神经元PID CAN通信 Embedded system Temperature control Single neuron PID CAN communication
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参考文献1

  • 1Xinyun Qiu,Yuan Gao.Adaptive PID Controller Based on Single Neuron. Intelligent System and Applied Material . 2012

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