光电跟踪系统中精密控制技术研究进展

唐涛,马佳光,陈洪斌,等. 光电跟踪系统中精密控制技术研究进展[J]. 光电工程,2020,47(10):200315. doi: 10.12086/oee.2020.200315
引用本文: 唐涛,马佳光,陈洪斌,等. 光电跟踪系统中精密控制技术研究进展[J]. 光电工程,2020,47(10):200315. doi: 10.12086/oee.2020.200315
Tang T, Ma J G, Chen H B, et al. A review on precision control methodologies for optical-electric tracking control system[J]. Opto-Electron Eng, 2020, 47(10): 200315. doi: 10.12086/oee.2020.200315
Citation: Tang T, Ma J G, Chen H B, et al. A review on precision control methodologies for optical-electric tracking control system[J]. Opto-Electron Eng, 2020, 47(10): 200315. doi: 10.12086/oee.2020.200315

光电跟踪系统中精密控制技术研究进展

  • 基金项目:
    中国科学院青年促进会优秀会员项目
详细信息
  • †同等贡献作者

  • 作者简介:
    *通讯作者: 杨虎(1961-),男,研究员,主要从事光电工程总体技术的研究。E-mail:yangh@ioe.ac.cn 亓波(1978-),男,博士,研究员,主要从光电工程总体技术的研究。E-mail:qibo@ioe.ac.cn
  • 中图分类号: TP273; TN29

A review on precision control methodologies for optical-electric tracking control system

  • Fund Project: Supported by the Youth Innovation Promotion Association of the Chinese Academy of Sciences
More Information
  • 精密控制技术离不开光机电结构配置、电机驱动、传感器、控制算法以及载荷平台的发展,它是实现高精度光电跟踪的必要手段。无论固定地基平台还是运动平台,扰动抑制、目标跟踪以及分布式智能协同的三大关键技术始终是光电跟踪控制系统面临的技术难点。本文综述了针对上述几大关键问题的精密控制技术,展示了一些先进和前沿控制技术的研究成果,同时指出未来重点研究方向的主要思路。根据扰动影响的不同机理,从精密驱动、惯性稳定、振动控制三个方面介绍了相应扰动抑制技术的研究进展以及热点,并强调基于Stewart平台的振动与指向一体化技术是空间光电跟踪系统的重要技术方向。复合轴控制系统仍然是提高目标跟踪最有效的根本方式,最基本的技术问题是提高精跟踪倾斜镜跟踪系统的性能。观测器控制尤其是仅有误差测量的观测器技术特别适用于复合轴光电跟踪系统,发展三级或者更高级的复合轴系统应该特别注意高性能电机的应用。最后,提出多智能协同光电系统是光电跟踪领域未来重点的发展方向,需要研究多智能体的协同定位、编队控制以及载荷平台一体化等精密控制技术。

  • Overview: The optical-electric tracking system characterizes a high-dynamic tracking system with the only line of sight error available, and its tracking accuracy is one of the key indexes for the optical–electric tracking control system. Precision control methodologies are necessary tools to implement high-precision tracking performance. Facing different applying areas, the tracking control system has to have a different performance to satisfy with conditions, and need to require high-performance control techniques. In another way, control techniques promote the development of the tracking control system. In essence, control methodologies only push the closed-loop performance to close to sensor resolution. Obviously, there is no method to reach this point. So, it is necessary to investigate suitable control methodologies to improve performance of the tracking control system. The optical-electric tracking system from single stage type to the dual-stage type is inseparable from the progress of actuator, sensor, materials, and mechanical structures. But, due to complex disturbances and maneuver target inducing dynamic lag errors in the hash working condition, the tracking performance could not meet the mission. High control bandwidth is usually restricted in a finite sampling rate of a charge-coupled device (CCD) based tracking loop, which hinders a good closed-loop performance. As far as tracking control is concerned, a rate feedforward controller is usually used to improve the control performance; however, it is restricted by the line-of-sight (LOS) rate, which is required to be estimated due to only the LOS error available in the CCD-based tracking control system. Besides that, it is also affected by the inverse of the control model. Vibration rejection is a key technology of practical engineering, especially in optical telescopes with a stable accuracy of μrad level. The closed-loop performance of optical telescopes is largely determined by the control bandwidth, while it is severely limited by the low sampling rate and large time delay of the image sensor, so it is difficult to mitigate structural vibrations in optical telescopes, especially wideband vibrations because they exist universally and greatly affect the stability of the system. Different from general motion control and visual servoing system, the tracking system has to accommodate for being applied in different platforms, which requires solving the three problems of disturbance rejection, target tracking and cooperative position. This paper reviews and investigates state of art control techniques and methodologies in the tracking control system, and also looks into the future research.

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  • 图 1  由加速度组成的控制结构

    Figure 1.  Control structure based on acceleration feedback

    图 2  加速度开环响应

    Figure 2.  Acceleration open-loop response

    图 3  速度闭环响应

    Figure 3.  Velocity closed-loop response

    图 4  速度跟踪误差曲线$\dot \theta $=0.1°sin(0.5t)。(a)无加速度反馈;(b)有加速度反馈

    Figure 4.  Velocity tracking error $\dot \theta $=0.1°sin(0.5t). (a) Without acceleration feedback; (b) Acceleration feedback

    图 5  基于虚拟速度环的三闭环控制系统[71]

    Figure 5.  Triple-loop control system based on a virtual velocity[71]

    图 6  初始速度和初始位置估计原理

    Figure 6.  Schematic diagram of estimation of initial velocity and position

    图 7  加速度扰动观测器结构框图[75]

    Figure 7.  Schematic diagram of acceleration disturbance[75]

    图 8  扰动抑制能力全频段对比

    Figure 8.  Comparisons of disturbance rejection

    图 9  1.2 m墨子号通信望远镜[76]

    Figure 9.  1.2 m MoZi communication telescope[76]

    图 10  1.2 m望远镜风扰下的定位精度

    Figure 10.  The tracking accuracy of 1.2 m telescope in the condition of wind disturbance

    图 11  双电机驱动光电跟踪装置

    Figure 11.  Equipment of dual-motor tracking control system

    图 12  单、双电机速度开环相应

    Figure 12.  Open-loop velocity Bode response

    图 13  单、双电机正弦轨迹跟踪误差

    Figure 13.  Tracking error of single and dual motor sinusoidal trajectory

    图 14  基于加速度反馈的直线轨迹跟踪

    Figure 14.  Linear trajectory tracking based on acceleration feedback

    图 15  基于观测器的齿轮控制结构图

    Figure 15.  Schematic diagram of a gear-box control

    图 16  惯性稳定跟踪架[36-38]

    Figure 16.  Schematic diagram of inertial stabilization gimbals[36-38]

    图 17  多框架光电跟踪设备

    Figure 17.  Inertial equipment of multiaxis gimbals

    图 18  惯性稳定反射镜示意图[82-83]

    Figure 18.  Sckematic diagram inertial stabilization mirror[82-83]

    图 19  潜望镜反射镜稳定装置

    Figure 19.  Inertial equipment of periscopic sight

    图 20  惯性稳定倾斜镜[35]

    Figure 20.  Inertial stabilization tip-tilt mirror[35]

    图 21  前馈控制稳定倾斜镜[41]

    Figure 21.  Feedforward control of tip-tilt mirror[41]

    图 22  基于信标光的视轴稳定技术[84-88]

    Figure 22.  Beacon-based line of sight stabilization system[84-88]

    图 23  复合稳定平台示意图[89]

    Figure 23.  Schematic diagram of dual-stage platform[89]

    图 24  复合稳定实验平台

    Figure 24.  Dual-stage stabilization platform in experiments

    图 25  主动抑制频率响应

    Figure 25.  Frequency response of active disturbance rejection

    图 26  基于Stewart平台的光电跟踪系统[104]

    Figure 26.  Tracking control system based on Stewart platform[104]

    图 27  基于连杆的并联平台光电跟踪系统[105]

    Figure 27.  A tracking control system of a link-parallel mechanism[105]

    图 28  标准的Smith预估器预测系统[115-117]

    Figure 28.  Predictive control based on a standard Smith method[115-117]

    图 29  基于改进Smith预估器预测系统[118]

    Figure 29.  Predictive control based on an improve Smith method[118]

    图 30  基于分数阶的延迟补偿控制技术[119]

    Figure 30.  Fractional controller of compensating time delay[119]

    图 31  基于编码器测量合成目标的前馈控制方法

    Figure 31.  Feedforward control method based oncomposite of position encoder

    图 32  基于陀螺数据融合的等效前馈控制[122]

    Figure 32.  Equivalent feedforward control based on fusion of a gyro[122]

    图 33  基于误差观测器的等效前馈控制[50, 59, 51, 123-124]

    Figure 33.  Equivalent feedforward control based on an error observer[50, 59, 51, 123-124]

    图 34  方位误差跟踪响应

    Figure 34.  Azimuth curves of tracking error

    图 35  俯仰误差跟踪响应

    Figure 35.  Elevation curves of tracking error

    图 36  误差抑制响应

    Figure 36.  Bode response of error attenuation

    图 37  跟踪误差曲线

    Figure 37.  Tracking error curves

    图 38  Q滤波器的伯德图

    Figure 38.  Bode response of Q-filter

    图 39  不同控制器作用下的闭环误差对比图

    Figure 39.  Spectra of closed-loop errors with different controllers

    图 40  复合轴跟踪系统的结构示意图

    Figure 40.  Schematic diagram ofdual-stage tracking system

    图 41  标准的复合轴控制结构

    Figure 41.  Structure of standard dual-stage control

    图 42  单检测型复合轴控制系统

    Figure 42.  Unload structure of dual-stage control

    图 43  三级复合轴跟踪系统的结构示意图[25]

    Figure 43.  Schematic diagram of triple-stage tracking system[25]

    图 44  三级复合轴系统实物图(不含机架)[30]

    Figure 44.  Picture of triple-stage control (except gimbal)[30]

    图 45  光电跟踪系统发展

    Figure 45.  Development hierarchy of optical-electric tracking control system

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收稿日期:  2020-08-20
修回日期:  2020-09-30
刊出日期:  2020-10-15

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