Elsevier

Mechatronics

Volume 74, April 2021, 102490
Mechatronics

On vibration rejection of nonminimum-phase long-distance laser pointing system with compensatory disturbance observer

https://doi.org/10.1016/j.mechatronics.2021.102490Get rights and content

Abstract

This paper focuses on the vibration rejection problem for the nonminimum-phase long-distance laser pointing system on the moving platform. Due to the unstable approximate inverse of nonminimum-phase property, the disturbance-observer based control (DOBC) methods inevitably sacrifice numerous vibration rejection capabilities to stabilize the system. In this paper, a compensatory disturbance-observer-based control (CDOBC) method is proposed to ensure a much stronger vibration rejection performance. In this method, the stable nominal plant replaces the unstable approximate inverse. Limited by stability constraints, the primary filter still sacrifices performances to provide basic vibration rejection capabilities. In the premise of a stable primary filter, the proposed compensatory filter naturally and effectively satisfies its stability constraint. Thus, the novel compensatory filter has sufficient flexibility to make up for the sacrificed vibration rejection capabilities of the primary filter without breaking the system’s stability. The CDOBC method has quite enough capability to reject the vibrations of the nonminimum-phase long-distance laser pointing system, which is impossible for the DOBC methods. Furthermore, the analytical system’s stability and tuning laws for the proposed method are presented. The simulations and experiments demonstrated the effectiveness of the proposed method despite various vibrations.

Introduction

The long-distance laser pointing (LDLP) system is promising in various fields, such as quantum communication, adaptive optics, and long-distance laser communication [1], [2], [3], [4]. In the quantum communication system and long-distance laser communication system, laser light is the carrier of the quantum beacon and message. Thus, the laser in the LDLP system is required to pointing to the target with enough precision. However, the LDLP system suffers from external vibrations, which can be caused by airflow and ground shaking. To satisfy different application scenarios, the LDLP systems are even mounted on moving platforms, such as vehicles, ships, and satellites, where the vibrations are ineluctable nonnegligible [5], [6]. The high-accuracy inertially stabilized laser is crucial to reject the disturbances of the LDLP system, which is the fundamental component of the high-efficiency quantum communication and long-distance laser communication [7], [8].

In recent years, vibration rejection of the LDLP system on moving platforms is becoming a very popular research field. In the actual environments, the vibrations introduced by moving platforms are mostly located at low and mid frequencies, which can significantly affect the pointing errors of the LDLP system [8], [9], [10]. In the LDLP system, the image detectors such as charge-coupled device (CCD) are used as a position sensors. With the CCD, the position closed loop (PCL) is built to control the LDLP system to point at a far-away target. However, the CCD requires sufficient integration time to obtain a clear image with a high signal-to-noise ratio [8], [11]. Thus, the CCD’s sampling rate is limited, which restricts the bandwidth and vibration rejection performance of the PCL according to the Nyquist Sampling Theorem [12].

Some new measuring appliances and control methods have been introduced into the LDLP system. The inertial sensors, such as the micro-electro-mechanical system (MEMS) accelerometers and the fiber optical gyroscopes (FOGs) with low weights, small sizes, and high sampling rates , are beneficial to build the high-bandwidth closed loops [13], [14]. The higher bandwidth is instrumental in rejecting more vibrations over a wider frequency range. Besides, the inertial sensors are able to directly measure the acceleration and velocity of the LDLP system in the inertial space. Thus, the MEMS accelerometers and the FOGs are introduced into the system to establish the acceleration closed loop (ACL) and the velocity closed loop (VCL). Based on these, the multi-loop feedback control (MFC) system was proposed [15], [16], which was composed of the PCL, VCL, and ACL. In the MFC system, the bandwidth of the inner loop is obviously higher than that of the outer loop. The vibration rejection capability of the MFC system is the product of each loop. Thus, MFC is considered as the fundamental in LDLP control system that could provide good vibration rejection capacity [6].

For the LDLP system on the moving platform, the basic MFC system is insufficient to reject vibrations, which has no specialized controllers to reject disturbances. Thus, the disturbance feedforward methods based on measurements are recommended to reject the external vibrations in theory [17], [18]. However, it requires extra costs for disturbance sensors to measure the vibrations. In some extreme environments, it is even impossible to measure the vibrations directly. Therefore, the disturbance-observer-based control (DOBC) methods were introduced to estimate disturbances and those estimated statements are used to reject vibrations. The DOBC method without extra sensors was presented by Ohnishi [19], [20], which had been applied to assistive exoskeletons, motion control, servo track writing, and engine servo systems [21], [22], [23], [24]. To remove the impact of mismatched uncertainty with the DOBC method, the systematic disturbance compensation gain design method and sliding-mode control method were introduced [25], [26]. Based on the DOBC method, the repetitive controller and reduced-order observer were presented to deal with the slow dynamics system [27], [28]. The extended state observer, equivalent-input-disturbance approach, and robust state estimation could also estimate the disturbances [29], [30], [31], [32].

However, the current methods are difficult to reject vibrations of the LDLP system. To stabilize the laser in inertial space, the inertial sensors are essential for the LDLP system to obtain high-bandwidth closed loops. In the inertial closed loops, critical stable zeros compose the nonminimum-phase (NMP) property of the LDLP system. The NMP property hinds in the vibration rejection performances of the LDLP system. The standard extended state observer could be problematic for the system with the NMP property [33], and robust state estimation method sacrificed its nominal performance to estimate the disturbances [32]. Although some new DOBC methods have been proposed to reject vibrations of the LDLP system, they ignored the NMP property, which could make the system unstable. In [34], to avoid the NMP property, the DOBC method was introduced in the PCL without critical stable zeros. However, the PCL’s vibration suppression was only effective in the low frequency domain due to its bandwidth limitation. The DOBC method was also utilized in the ACL [35]. However, the NMP property limited the system’s stability of the DOBC method. To stabilize the system, the DOBC method sacrificed the vibration rejection capabilities in the low-frequency band according to [35]. To reject more vibrations, a straightforward approach was presented by introducing the DOBC structure into the both PCL and ACL [36]. However, the approach was a reuse of the same DOBC methods. Consequently, all those methods mentioned before have little help for directly dealing with the NMP property in LDLP systems.

Motivated by the above discussion, this paper proposes a compensatory disturbance-observer-based control (CDOBC) method to reject vibrations of the LDLP system with NMP property. In this method, the stable nominal plant replaces the unstable approximate inverse. Because of the NMP property, the primary filter of the CDOBC method is limited by the system’s stability. Thus, it still has to sacrifice its capabilities to stabilize the system. However, in the premise of a stable primary filter, the compensatory filter of the CDOBC method has no stability constraints. Thus, the design of compensatory filter has enough flexibility to make up for the sacrifices of the primary filter. Even though NMP property still exists in the inertial closed loop, the dual-filter CDOBC method has the unabridged disturbance estimation capabilities and vibration rejection capabilities. Therefore, the proposed CDOBC method can deal with the NMP property of the LDLP system, which can reject much more vibrations than the DOBC methods. The advantages of the proposed method are summarized as follows:

The capability of handling the NMP property in inertial closed loops.

The capability to compensate for the sacrificed vibration rejection capabilities of primary filter.

The CDOBC method is independent of precise disturbance models.

The capability to reject external vibrations and modeling uncertainties.

The vibration rejection capability of the proposed method does not influence the nominal performance.

The rest of this paper is organized as follows. In Section 2, the structure of the CDOBC method is proposed. In Section 3, the stability constraints are discussed. In Section 4, the analytical tuning laws of the dual filters are presented. Based on the tuning laws, the stability constraints of the CDOBC method are further analyzed. In Section 5, simulations and experiments to validate the CDOBC method are described. Finally, concluding remarks are presented in Section 6.

Section snippets

The compensatory disturbance-observer-based control method

To stabilize the laser in the inertial space, it is basic and essential to building the MFC system as shown in Fig. 1, whose vibration rejection capability is the product of its each loop [6], [18]. In this figure, Cp(s) denotes the position controller, Cv(s) denotes the velocity controller, Ca(s) denotes the acceleration controller, Ga(s) denotes the acceleration controlled object, θref is the given target position, θd is the position disturbance, ad is the acceleration disturbance, a is the

Stability analysis

According to (3), (4), (5), the tracking transfer function from aref(s) to a(s) of the ACL system with CDOBC method can be depicted as follows after substitution: TTFCDOBC(s)=1G̃a(s)Q1(s)Ca(s)Ga(s)1G̃a(s)Q1(s)+Ga(s)Q1(s)1G̃a(s)Q1(s)Q2(s)Ca(s)G̃a(s)+1G̃a(s)Q1(s)+Q2(s)Ca(s)Ga(s).

Before estimating and rejecting vibrations, system’s stability must be guaranteed. In the CDOBC method, the nominal plant G̃a(s) approximates the acceleration controlled object Ga(s). In the bandwidth of the ACL,

Disturbance estimation and suppression analysis

According to Fig. 3, the estimated disturbances can be suppressed by the CDOBC method. To reject the vibrations of the LDLP system, it is crucial to analyze the disturbance estimation performances of Q1(s) and Q2(s). In the ACL of the LDLP system, the acceleration controlled object Ga(s) can be expressed as: Ga(s)=Ks2s2ωn2+2ζωns+1Tes+1,where ωn and ζ are the parameters of the resonance element, K is the parameter of the inertial element, and Te is the parameter of proportional constant.

As shown

Experiments

To verify the proposed CDOBC method, the LDLP system equipment is setup as Fig. 4. In this setup, an inertially stabilized platform (ISP) driven by voice-coil motors is utilized to stabilize the laser light. A reflecting mirror is mounted on the top of the ISP. The laser is reflected by mirror to the CCD. The CCD operates at 1000 Hz sampling rate with a two-frame time delay, and it outputs the pointing errors between the laser light and the center point of its image panel. Under the ISP, a

Conclusions

In this paper, we focus on the vibration rejection problem for the LDLP system with NMP property, which is essential for the long-distance laser pointing system on the moving platform. Due to the unstable approximate inverse of the NMP system, DOBC methods sacrifice a mass of vibration rejection capabilities to stabilize the system. To reject more vibrations of the LDLP system with NMP property, the CDOBC method is proposed in this paper. Limited by stability constraints, the primary filter

CRediT authorship contribution statement

Jiuqiang Deng: Conceptualization, Methodology, Formal analysis, Investigation, Writing - original draft. Xi Zhou: Validation, Software, Investigation, Writing - review & editing. Yao Mao: Resources, Writing - review & editing, Supervision.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Jiuqiang Deng was born in Meishan, China, in 1995. He received his B.S. degree in 2017 from Southwest Jiaotong University. He is currently pursuing his Ph.D. degree in the Key Laboratory of Beam Control, Institute of Optics and Electronics, Chinese Academy of Sciences. His research interests include vibration rejection, inertial stabilization, disturbance observer, and multi-sensor fusion in the electro-optical tracking control system.

References (39)

  • WangX. et al.

    Quantum teleportation of multiple degrees of freedom of a single photon

    Nature

    (2015)
  • YinJ. et al.

    Satellite-based entanglement distribution over 1200 kilometers

    Science

    (2017)
  • HilkertJ.M. et al.

    Line-of-sight kinematics and corrections for fast-steering mirrors used in precision pointing and tracking systems

    Proc SPIE

    (2014)
  • RabinovichW.S. et al.

    Free-space optical communications research and demonstrations at the U.S. naval research laboratory

    Appl Opt

    (2015)
  • BigleyW.J.

    Supervisory control of electro-optic tracking and pointing

    Proc SPIE

    (1990)
  • LuoY. et al.

    Multiple fusion based on the CCD and MEMS accelerometer for the low-cost multi-loop optoelectronic system control

    Sensors

    (2018)
  • HilkertJ.

    A comparison of inertial line-of-sight stabilization techniques using mirrors

    Proc SPIE

    (2004)
  • TangT. et al.

    A review on control methodologies of disturbance rejections in optical telescope

    Opto-Electron Adv

    (2019)
  • DongR. et al.

    Design and communication experiment of fine tracking system for free space optic

    Infrared Laser Eng

    (2012)
  • Kulcsár C, Sivo G, Raynaud HFc, Neichel Bt, Rigaut F, Christou J, Guesalaga A, Correia C, Véran JP, Gendron E....
  • TangT. et al.

    Error-based feedforward control for a charge-coupled device tracking system

    IEEE Trans Ind Electron

    (2018)
  • BinderM.D. et al.

    Nyquist sampling theorem

  • AyaziF.

    The HARPSS process for fabrication of precision MEMS inertial sensors

    Mechatronics

    (2002)
  • MaruyamaY. et al.

    Extension of measurement bandwidth in an AMB-based gyroscopic sensor

    Mechatronics

    (2009)
  • TianJ. et al.

    Application of MEMS accelerometers and gyroscopes in fast steering mirror control systems

    Sensors

    (2016)
  • KeckA. et al.

    Accelerometer-based online reconstruction of vibrations in extremely large telescopes

    IFAC Proc Vol

    (2014)
  • Glück M, Pott JU, Sawodny O. Piezo-actuated vibration disturbance mirror for investigating accelerometer-based tip-tilt...
  • MaoY. et al.

    The frequency-domain fusion virtual multi-loop feedback control system with measured disturbance feedforward method in telescopes

    Electronics

    (2019)
  • OhishiK. et al.

    Torque-speed regulation of DC motor based on load torque estimation

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    Jiuqiang Deng was born in Meishan, China, in 1995. He received his B.S. degree in 2017 from Southwest Jiaotong University. He is currently pursuing his Ph.D. degree in the Key Laboratory of Beam Control, Institute of Optics and Electronics, Chinese Academy of Sciences. His research interests include vibration rejection, inertial stabilization, disturbance observer, and multi-sensor fusion in the electro-optical tracking control system.

    Xi Zhou was born in ChengDu, China, in 1989. She received her B.S. degree, M.S. degree and Ph.D. degree in 2017 from University of Science and Technology of China, in 2012, 2014, and 2017, respectively. She is a recent research associate at the Institute of Optics and Electronics, Chinese Academy of Sciences. Her current research interests include electro-optical robust tracking control and fractional order control.

    Yao Mao is the professor and doctor director at the Institute of Optics and Electronics, Chinese Academy of Sciences. He received the B.S. degree from Chongqing University, and the Ph.D. degree in signal processing from the Institute of Optics and Electronics, Chinese Academy of Sciences, in 2001, 2012, respectively. His current research interests include electro-optical tracking control, servo control, predictive filtering, and machine learning.

    This paper was recommended for publication by Associate Editor Robert Landers.

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