In the Electro-Optical acquisition-tracking-pointing system (ATP), the optical components will be damaged with the several influencing factors. In this situation, the rate will increase sharply when the arrival of damage to some extent. As the complex processing techniques and long processing cycle of optical components, the damage will cause the great increase of the system development cost and cycle. Therefore, it is significant to detect the laser-induced damage in the ATP system. At present, the major research on the on-line damage detection technology of optical components is for the large optical system in the international. The relevant detection systems have complicated structures and many of components, and require enough installation space reserved, which do not apply for ATP system. To solve the problem mentioned before, This paper use a method based on machine vision to detect the damage on-line for the present ATP system. To start with, CCD and PC are used for image acquisition. Secondly, smoothing filters are used to restrain false damage points produced by noise. Then, with the shape feature included in the damage image, the OTSU Method which can define the best segmentation threshold automatically is used to achieve the goal to locate the damage regions. At last, we can supply some opinions for the lifetime of the optical components by analyzing the damage data, such as damage area, damage position. The method has the characteristics of few-detectors and simple-structures which can be installed without any changes of the original light path. With the method, experimental results show that it is stable and effective to achieve the goal of detecting the damage of optical components on-line in the ATP system.
KEYWORDS: Vibration isolation, Control systems, Optical tracking, Acquisition tracking and pointing, Line of sight stabilization, Free space optical communications, Telecommunications, Sensors, Optical communications, Electronics
The development of space optical communication requires arcsecond precision or even higher precision of the tracking performance of ATP(Acquisition, Tracking and Pointing) system under the condition of base disturbance. ATP system supported by stabilized reference beam which is provided by inertial stabilization platform with high precision and high bandwidth, can effectively restrain the influence of base angular disturbance on the line of sight.
To get better disturbance rejection ability, this paper analyzes the influence of transfer characteristics and physical parameters of stabilization platform on disturbance stabilization performance, the result shows that the stabilization characteristics of inertial stabilization platform equals to the product of rejection characteristics of control loop and disturbance transfer characteristics of the platform, and improving isolation characteristics of the platform or extending control bandwidth can both achieve the result of getting a better rejection ability.
Limited by factors such as mechanical characteristics of stabilization platform, bandwidth/noise of the sensor, and so on, as the control bandwidth of the LOS stabilization platform is limited, and high frequency disturbance can not be effectively rejected, so the rejection of high frequency disturbance mainly depends on the isolation characteristics of the platform itself.
This paper puts forward three methods of improving the isolation characteristics of the platform itself, which includes 1) changing mechanical structure, such as reducing elastic coefficient, increasing moment of inertia of the platform, and so on; 2) changing electrical structure of the platform, such as increasing resistance, adding current loop, and so on; 3)adding a passive vibration isolator between the inertial stabilization platform and the base. The result of the experiment shows that adding current loop or adding a passive vibration isolator can effectively reject high frequency disturbance.
KEYWORDS: Signal to noise ratio, Control systems, Interference (communication), Mirrors, Computer simulations, MATLAB, Feedback signals, Control systems design, Servomechanisms, Precision measurement
The control bandwidth of the FSM affects directly on the performance of the tracking system based on the compound axis servo structure. The FSM’s control system’s accuracy affects the bandwidth and the tracking precision of the system directly. Obtaining the accurate transfer function of the control object is the basis of designing frequency characteristics based control system. Measurement of high precision transfer function is needed to compensate the influence of the mechanical resonance. The mechanical resonance of fast control mirror is mainly of high frequency. In this case, the measured signal’s SNR is low so that the measurement accuracy of the frequency characteristic is reduced accordingly. One way to get frequency characteristics is to input sweeping sine drive signal to the system, measure the output of system, and then calculate the frequency characteristics by Fourier Transformation. However, the measuring result of the FSM system that has a low SNR in high frequency is not precise enough as in a system with a high SNR. To solve the problem mentioned above, this article presents a method to calculate frequency characteristics of an FSM system. This method uses the least squares to fit the fast mirror output overall waveform and the input source can be sine, white noise, multimode signal or chirp signal. A digital compensator based on this method is introduced to experimentally verify the efficiency of the method. Experiment results show that fitting the system’s output curve in high frequency can effectively eliminate influence of quantization noise, gauss measurement noise and harmonic interference on the measurement accuracy and thus enhance the measuring signal’s SNR. It is proved that by using this method a more accurate frequency characteristics of the FSM can be obtained.
In Electro-Optical tracking systems, compound control is used to keep high-precision tracking of fast targets by predicting the trajectory of the target. Traditional ground based Electro-Optical tracking system uses encoder data and target missing quantity read from image sensors to achieve the target trajectory by using prediction filtering techniques. Compared with the traditional ground based systems, relative angle between the tracking system and the ground cannot be read directly from encoder data in an Electro -Optical tracking system based on moving platform. Thus the combination of inertial sensors’ data and target missing quantity is required to composite the trajectory of targets. However, the output of the inertial sensors contains not only the information of the target's motion, but also the residual error of vibration suppression. The existence of vibration suppression residual error affects the trajectory prediction accuracy, thereby reducing compensation precision and the stability of the compound control system. Independent component analysis (ICA) method that can effectively separate the source signals from the measurement signals is introduced to target trajectory prediction field in this paper. An experimental system based on the method is built by settling a small dual-axis disturbance platform, which is taken as the stable platform, on a large dual-axis disturbance platform, which is used to simulate the motion of the moving platform. The result shows that the vibration residual is separated and subtracted from the combined motion data. The target motion is therefore obtained and the feasibility of the method is proved .
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