[1]杨政秋[][],李响[],席隆]. 基于PID的空间精密温控研究[J].计算机技术与发展,2014,24(08):143-145.
 YANG Zheng-qiu[] [],LI Xiang[],XI Long[]. Research on Precise Control in Space Temperature Based on PID[J].,2014,24(08):143-145.
点击复制

 基于PID的空间精密温控研究()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年08期
页码:
143-145
栏目:
应用开发研究
出版日期:
2014-08-10

文章信息/Info

Title:
 Research on Precise Control in Space Temperature Based on PID
文章编号:
1673-629X(2014)08-0143-04
作者:
 杨政秋[1][2]李响[1]席隆1]
1. 中国科学院 空间应用工程与技术中心;2.中国科学院大学
Author(s):
 YANG Zheng-qiu[1] [2]LI Xiang[1]XI Long[1]
关键词:
 温度控制数字信号处理变PIDPWM
Keywords:
 temperature controlDSPvariable PIDPWM
分类号:
TP31
文献标志码:
A
摘要:
 为开展空间力学实验,文中介绍了一种基于DSP变PID算法的空间温度控制系统,应用于空间液桥模型。该方案利用DSP TMS320F2812作为微处理器,前端利用热电偶采集温度信号,经调理电路、AD转换后通过AD转换器自带SPI接口输入到DSP。 DSP根据温度偏差值,运用PID算法控制PWM输出,PWM占空比直接决定驱动温度执行机构工作的桥电路功率,从而实现温度的闭环控制。实验结果证明,该系统稳定性能好、控制精度高,在液桥实验需求范围内控温精度能达到±0.03℃。
Abstract:
 Describe a space temperature control system based on DSP for PID algorithm in order to carry out the experiment of spatial me-chanics,used in space liquid bridge experimental model. The program draws on TMS320F2812 as a microprocessor,the front-end uses thermocouple temperature for signal acquisition,after conditioning circuit,AD conversion input to the DSP by SPI. According to the tem-perature deviation,DSP uses PID algorithm to control PWM,and the PWM duty cycle directly determines the circuit power of bridge driver for the temperature actuator,in order to achieve closed-loop temperature control. Experimental results show that the system is sta-ble,with high control precision,the temperature control precision can reach ±0. 03 °C within the scope of the demand for liquid bridge experiment.

相似文献/References:

[1]袁光礼,赵剑,欧锐,等.基于FPGA的工业冷水机的控制系统[J].计算机技术与发展,2013,(04):237.
 YUAN Guang-li,ZHAO Jian,OU Rui,et al.Control System of Cool-water Machine for Industry Based on FPGA[J].,2013,(08):237.
[2]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
 ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(08):1.
[3]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
 LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(08):5.
[4]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
 HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(08):13.
[5]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
 HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(08):21.
[6]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
 LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(08):25.
[7]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
 WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(08):29.
[8]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
 LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(08):34.
[9]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
 SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(08):38.
[10]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
 YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(08):43.

更新日期/Last Update: 2015-03-26