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光纤陀螺惯性测量组合的数字温控系统设计 被引量:10

Digital temperature control system design for FOG inertial measurement unit
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摘要 光纤陀螺惯性测量组合的测量精度会受到环境温度变化的影响。采用温度控制手段能够有效解决这一问题。提出了一种基于分级控制、分段控制和闭环控制思想的温控方案,并在此基础上设计了一种DSP+FPGA架构的数字温度控制电路,实现了温控电路的整体结构和工作流程,说明了以Fuzzy PID算法为核心的温度控制算法原理。试验结果表明,系统具有速度快、精度高等优点,为解决惯性测量组合启动后缩短惯性器件热平衡过程,迅速进入稳定工作状态提供了一种实用方法,也为类似的惯性测量组合温度控制系统提供了有益参考。 The measuring accuracy of FOG Inertial Measuring Unit(IMU) would be influenced by the environment temperature change, and this problem can be solved by means of controlling temperature. A temperature control scheme was proposed which was based on the concepts of hierarchical control, sectional control and closed-loop control. From this, a digital temperature control system with" DSP + FPGA" architecture was designed from several aspects, such as temperature control scheme, temperature control circuit and temperature control arithmetic. The experiments show that the temperature control system enhanced the environment adaptability, and the system possesses the advantages of fast learning speed, high precision, etc. It provides a practical method for shortening the thermal balance of inertial device after IMU start-up and rapid getting to steady working state.
出处 《中国惯性技术学报》 EI CSCD 2008年第5期543-547,共5页 Journal of Chinese Inertial Technology
基金 国家863高技术研究发展计划项目(2007AA06Z101)
关键词 光纤陀螺 惯性测量组合 数字温度控制 FUZZY PID fiber optic gyroscope inertial measurement unit digital temperature control fuzzy PID
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参考文献9

  • 1Barbour N, Schmidt G. Inertial Sensor Technology Trends[J]. IEEE Sensors Journal, 2001, 1(4): 332-339.
  • 2Gaiffe T. From R&D brassboards to navigation grade FOG-based INS: The Experience of Photonetics/Ixsea[C]//Optical Fiber Sensors Conference Technical Digest, 2002, Vol. 1: 1-4.
  • 3Sanders S J, Strandjord L K, Mead D. Fiber optic gyro technology trends: Honeywell perspective[C]//Optical Fiber Sensors Conference Technical Digest, 2002, Vol.1: 5-8.
  • 4Gaiffe T, Faussot N. Fibre optic gyros for space use[R]. France: ESA, EuroFOG; Report No.1242 SR 06 8, 1999.
  • 5Shupe D.M. Thermally induced nonreciprocity in the fiber optical interferometer[J]. Applied Optics, 1980, 19(5): 654-655.
  • 6任卓恒,宋凝芳,崔佳涛.数字式精密温控对FOG IMU性能的影响[J].北京航空航天大学学报,2007,33(6):694-697. 被引量:4
  • 7马小霞,李汉舟,马建辉.陀螺Fuzzy-PID温度控制系统研究[J].中国惯性技术学报,2004,12(5):58-61. 被引量:5
  • 8刘玉光.惯性平台温控系统精度研究[J].中国惯性技术学报,1996,4(1):35-39. 被引量:5
  • 9李艳军,郭正刚,张志新,马孝江.基于FPGA多通道同步数据采集系统设计[J].微计算机信息,2007,23(26):212-213. 被引量:26

二级参考文献13

  • 1王洋,商顺昌.石英挠性加速度计的温场分析[J].传感器技术,1996,15(3):8-11. 被引量:7
  • 2李大庆,段建民,綦慧,江存胜.高速数据采集处理系统的设计和实现[J].微计算机信息,2006,22(07Z):191-193. 被引量:9
  • 3Eorge K I. Analysis of direct action fuzzy PID controller structures[A]. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics[C], 1999, (29)3: 371-387.
  • 4Kazemian A B. Development of an intelligent fuzzy controller[A]. 2001 IEEE International Fuzzy systems Conference[C],2001: 517-520.
  • 5Noureddine Golea, Amar Golea. Fuzzy model reference adaptive control[A]. IEEE Transactions on Fuzzy Systems[C], 2002,(10)4: 436-444.
  • 6万永箐.基于模糊PID算法的调压铸造智能控制系统[A]..2001嵌入式系统及单片机国际学术交流会议论文集[C].,2001.632-635.
  • 7Barbour N,Schmidt G.Inertial sensor technology trends[J].IEEE Sensors Journal,2001,1(4):332-339
  • 8Gaiffe T.From R&D brassboards to navigation grade FOG-based INS:the experience of Photonetics/Ixsea[J].IEEE0-7803-7289 -1/02,2002:1-4
  • 9Carvajal,Chen Guanrong,Ogmen.Fuzzy PID controller:design,performance,evaluation,and stability analysis[J].Information Sciences,2000,123:249-270
  • 10TI公司.ADS8321 data sheet[z].2004.

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