光电跟踪系统的双模控制

彭树萍; 李博; 姜润强; 陈长青; 于洪君

doi:10.3788/OPE.20162402.0335

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光电跟踪系统的双模控制

微纳技术与精密机械 | 更新时间：2020-08-13

- 光电跟踪系统的双模控制
- Dual mode control for electro-optical tracking systems
- 光学精密工程 2016年24卷第2期页码：335-342
- 作者机构：
  
  1. 中国科学院大学北京,中国,100049
  2. 中国科学院长春光学精密机械与物理研究所, 吉林长春 130033
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目(No. 61205143)()
- DOI：10.3788/OPE.20162402.0335
  中图分类号： TP273
- 收稿日期：2015-04-20，
  
  修回日期：2015-05-23，
  
  纸质出版日期：2016-02-25
- 稿件说明：
移动端阅览
彭树萍, 李博, 姜润强等. 光电跟踪系统的双模控制[J]. 光学精密工程, 2016,24(2): 335-342

PENG Shu-ping, LI Bo, JIANG Run-qiang etc. Dual mode control for electro-optical tracking systems[J]. Editorial Office of Optics and Precision Engineering, 2016,24(2): 335-342
彭树萍, 李博, 姜润强等. 光电跟踪系统的双模控制[J]. 光学精密工程, 2016,24(2): 335-342 DOI： 10.3788/OPE.20162402.0335.

PENG Shu-ping, LI Bo, JIANG Run-qiang etc. Dual mode control for electro-optical tracking systems[J]. Editorial Office of Optics and Precision Engineering, 2016,24(2): 335-342 DOI： 10.3788/OPE.20162402.0335.

摘要

引入了模糊控制法和滞后超前校正法相结合的双模控制技术来提高光电跟踪系统的响应速度、抗干扰性能并降低超调。分别介绍了模糊控制法和滞后超前校正法的工作原理

基于两种方法的优势

设计了双模控制系统。利用MATLAB对双模控制系统进行了仿真实验和相应的实验验证。仿真实验显示:相比滞后超前校正法

双模控制法能够有效降低系统超调

提高系统响应速度

同时具有更强的抗干扰性。利用实际光电跟踪转台对双模控制法进行了实验验证

分别对转台进行了方位系统180°阶跃实验和俯仰系统60°阶跃实验

并与滞后超前校正法进行了对比。结果显示

双模控制法使方位系统和俯仰系统的超调都达到了0%

调节时间和稳态精度也都有所提高。得到的结果表明提出的双模控制法能够有效降低光电跟踪系统的超调

提高响应速度

增强系统的抗干扰性。

Abstract

A dual mode control technology in combination of fuzzy control method with lag-lead compensation method was introduced to improve the response speed

anti-jamming performance and to reduce the overshoot of an electro-optical tracking system. The operation principles of fuzzy control method and lag-lead compensation method were introduced respectively. Based on the advantages of two methods mentioned above

the dual mode control system was designed. Then the MATLAB was used to perform the simulation experiments for the dual mode control system and corresponding actual experimental verification. The simulation results show that dual mode control technology reduces the overshoot of the system

improves the response speed of the system effectively and has a much better capability in anti-jamming as compared with the lag-lead compensation method. Furthermore

the actual experiment of the dual mode control technology was performed on an electro-optical tracking platform

the experiments by 180°step for azimuth subsystem and 60°step for elevation subsystem were carried out.The results show that the overshoots of both azimuth and elevation subsystems reach 0%

meanwhile their adjusting time and precision of steady state are improved. It concludes that the dual mode control method is characterized by faster responding speeds

small overshoot and higher capability in anti-jamming.

关键词

Keywords

references

胡大军. 基于模糊控制的舰载光电跟踪伺服及系统设计[D]. 武汉:武汉工程大学,2012. HU D J. Design of Servo System to Shipborne Optical-Electronic Tracking Based on Fuzzy Control[D]. Wuhan:Wuhan Institute of Technology, 2012.(in Chinese)

JIANG J,ZHANG X S. Application of self-adjustment PID fuzzy controller in inverter air-conditioning control system[J]. SPIE,2013,8768:1-9.

张明月,杨洪波,章家保,等. 改进自抗扰控制谐波式电动舵机伺服系统[J]. 光学精密工程,2014,22(1):99-107. ZHANG M Y,YANG H B,ZHANG J B, et al.. Servo system of harmonic drive electromechanical actuator using improved ADRC[J]. Opt. Precision Eng., 2014, 22(1):99-107.(in Chinese)

徐晓霞. 模糊PID控制光电跟踪系统的抗干扰性分析[J]. 电子设计工程,2011,19(22):174-177. XU X X. Research on fuzzy PID control electro-optical pointing and tracking systems of interference[J]. Electronic Design Engineering, 2011, 19(22):174-177.(in Chinese)

韩晓泉,王建立,赵金宇,等. 模糊控制算法在光电跟踪伺服系统中的应用[J]. 光电工程,2004,31(增):19-25. HAN X Q, WANG J L, ZHAO J Y, et al.. Application on fuzzy control algorithm in an opto-electronic tracking servo system[J]. Opto-Electronic Engineering, 2003,31(Sup):19-25.(in Chinese)

刘珊中,孙隆,车宏. 模糊控制在光电跟瞄平台稳定控制中的应用[J]. 航天控制,2008,6(2):55-58. LIU SH ZH, SUN L, CHE H. Application of fuzzy control in electro-optical trackhg and pointing platform stabilization control[J]. Aerospace Control, 2008,6(2):55-58.(in Chinese)

FARZAD H, ESMAIL K. Determine the optimal number and position of damping viscose(MR) in Seismic vibration control of buildings to use genetic algorithms[J]. SPIE,2012,8349:1-5.

LI Y Z, XIAO CH, SUN J H. Fuzzy PID controller combines with closed-loop optimal fuzzy reasoning for pitch control system[J]. SPIE,2013,8783:1-6.

李广军,金炜东,陈春俊. 列车横向半主动悬挂系统变论域模糊控制[J]. 光学精密工程,2013,21(12):3298-3307. LI G J, JIN W D, CHEN CH J. Variable universe fuzzy control of train lateral semi-active suspension system[J]. Opt. Precision Eng., 2013, 21(12):3298-3307.(in Chinese)

AMINE B. KHALIFA, HICHEM F. Fusion of multiple algorithms for detecting buried objects using fuzzy inference[J]. SPIE,2014,9072:1-10.

ZHANG ZH Y,ZHANG J,CHENG Y. A fuzzy control system design based on double module structure[J]. SPIE,2007,6794:1-6.

EL-KHATIB M M,HUSSEIN W M. Design, Modelling, implementation and intelligent fuzzy control of a hovercraft[J]. SPIE,2011,8045:1-15.

TANG J,SHEYKHZADEL M,CLAUSEN B F, et al.. Genetic fuzzy system predicting contractile reactivity patterns of small arteries[J]. CPT Pharmacometrics Syst. Pharmacol,2014,3(2014):1-9.

MAO J,HOU J,SHEN D. The application of PID parameter self-tuning fuzzy controller in the constant-power speed control system of heading machine[J]. SPIE,2013,8768:1-5.

田广,梁国. 探针定位系统的模糊——PID双模控制[J]. 应用科技,2009,36(10):44-48. TIAN G, LIANG G. Dual-mode control of fuzzy-PID of the probe positioning system[J]. Applied Science and Technology, 2009, 36(10):44-48.(in Chinese)

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