IABC: An iteratively automatic machine learning boosted hand-eye calibration method for laser displacement sensor

An on-machine measuring (OMM) system with a laser displacement sensor (LDS) is designed for measuring free-form surfaces of hypersonic aircraft’s radomes. To improve the measurement accuracy of the OMM system, a novel Iteratively Automatic machine learning Boosted hand-eye Calibration (IABC) method is proposed. Both the hand-eye relationship and LDS measurement errors can be calibrated in one calibration process without any hardware changes via IABC. Firstly, a new objective function is derived, containing analytical parameters of the hand-eye relationship and LDS errors. Then, a hybrid calibration model composed of two kernels is proposed to solve the objective function. One kernel is the analytical kernel designed for solving analytical parameters. Another kernel is the automatic machine learning (AutoML) kernel designed to model LDS errors. The two kernels are connected with stepwise iterations to find the best calibration results. Compared with traditional methods, hand-eye experiments show that IABC reduces the calibration RMSE by about 50%. Verification experiments show that IABC reduces the measurement deviations by about 25%-50% and RMSEs within 40%. Even when the training data are obviously less than the test data, IABC performs well. Experiments demonstrate that IABC is more accurate than traditional hand-eye methods.     

MC-LRF based pose measurement system for shipborne aircraft automatic landing

Due to the portability and anti-interference ability, vision-based shipborne aircraft automatic landing systems have attracted the attention of researchers. In this paper, a Monocular Camera and Laser Range Finder (MC-LRF)-based pose measurement system is designed for shipborne aircraft automatic landing. First, the system represents the target ship using a set of sparse landmarks, and a two-stage model is adopted to detect landmarks on the target ship. The rough 6D pose is measured by solving a Perspective-n-Point problem. Then, once the rough pose is measured, a region-based pose refinement is used to continuously track the 6D pose in the subsequent image sequences. To address the low accuracy of monocular pose measurement in the depth direction, the designed system adopts a laser range finder to obtain an accurate range value. The measured rough pose is iteratively optimized using the accurate range measurement. Experimental results on synthetic and real images show that the system achieves robust and precise pose measurement of the target ship during automatic landing. The measurement means error is within 0.4° in rotation, and 0.2% in translation, meeting the requirements for automatic fixed-wing aircraft landing.Received 5 July 2022; revised 19 August 2022; accepted 27 September 2022.     

2524与7150铝合金激光焊T型接头的组织与性能

介绍了2524与7150铝合金激光焊T型接头优化的工艺参数,并研究了T型接头在优化工艺下的显微组织与力学性能,进行金相分析、显微硬度测试与接头拉伸试验。结果表明:优化工艺下焊缝没有裂纹、气孔,金相组织晶粒细小、致密,焊缝区域的硬度最低;T型接头x方向的拉伸强度达到384 MPa,z方向的拉伸强度为236 MPa。     

激光、红外隐身兼容涂料的前景分析

红外探测技术、激光探测技术、电子战等因素使得红外波段中的隐身技术变得更为重要。在同一波段范围同时达到红外与激光的隐身兼容是热平衡理论所面临的难题。要做到红外和激光的隐身兼容，就必须克服两者对材料的一对矛盾要求。在分别介绍了红外、激光隐身的原理后，提出了红外激光复合隐身的设想，并分析了两种央技术的互相制约及兼容的可能性。     

Effect of adding Nb foil on joint properties of laser fusion welding for TC4 titanium and 7075 aluminum alloy

It is difficult to gain effective Ti-Al fusion welding joints due to their differences in thermal properties and the appearance of brittle Ti-Al Intermetallic Compounds (IMCs). The experiments of laser fusion welding for TC4 titanium and 7075 aluminum alloy were carried out, temperature field and ductility/brittleness, as well as chemical potential of elements, were calculated, and the effect of adding Nb foil on mechanical properties of the weld was also investigated. The results suggested that Nb atoms tend to diffuse toward Al side, which is conducive to the participation of Nb in the metallurgical reaction and contributes to forming the Ti-Nb-Al IMC layer at the interface. As the thickness of Nb foil increases, the tensile-shear force of joint climbs first but then declines, and reaches the highest value of 1663 N with 0.10 mm-thickness Nb foil, representing 58.38% enhancement compared with the non-added one. Adding Nb foil slows down the heat transfer as a blocker, and thus both the melting amount of Al and the mixing area of Ti and Al decrease. In addition, Nb alloying reduces the brittleness of the Ti-Al compound. Hence, the joint properties of titanium/aluminum are improved with the addition of Nb foil.     

基于码元同步环路的激光测距通信一体化算法优化研究

精密测距与高速通信一体化技术已发展成为星间激光链路的主要研究方向之一。为了探究基于空间激光通信系统的通信解调算法对测距性能的影响机理，根据现有的激光通信系统架构，分析了测距通信一体化系统的工作原理，搭建了基于码元同步的激光测距通信一体化系统模型，分析了基于Gardner同步环路信号跟踪系统的测距精度，并对鉴相算法进行了优化。理论和仿真证明，优化后的码元同步环能够同时实现码元同步判决和距离解算，并得到了4 dB的噪声容忍度提升，其测距方差主要与基带成型滤波参数、环路带宽、载噪比以及鉴相增益等因素有关。该算法简洁，不受载波相位影响，对高阶调制具有良好的兼容性，适用于空间激光链路系统，丰富了测距通信一体化理论，为后续一体化系统设计提供了仿真依据。     

基于GO法的Nd：YAG侧面泵浦激光器可靠性分析

本文报道了基于GO（Goad Oriented）法的Nd∶YAG侧面泵浦激光器可靠性分析，建立了Nd∶YAG侧面泵浦激光器的GO图模型，定性分析了Nd∶YAG侧面泵浦激光器的薄弱环节，定量计算了激光头中各薄弱环节的可靠性结果，包括等效故障率λ_R、等效维修率μ_R、平均无故障工作时间（MTBF）等；并定量计算了KTP晶体故障率的改善对Nd∶YAG侧面泵浦激光器可靠性提高的影响。本文中建立的GO图模型可为Nd∶YAG侧面泵浦激光的优化及可靠性评价提供理论依据。     

Time resolved study of laser triggered electric discharge spark in atmosphere: Machine learning approach

In this paper we analyze the possibilities of using machine learning algorithms for analysis of optical spectra of electric discharge spark in atmosphere. Breakdown in air can be initiated by intense laser pulse, making plasma which has a significant electrical conductivity. The formed plasma can be further maintained by electric current obtained from capacitor discharge. In such a case the capacitor voltage can be much lower than the striking voltage (the voltage needed to initiate the electric breakdown in air). Present setup has timing precision and low jitter of fast laser and arbitrary high energies corresponding to capacitance and voltage to which the capacitor is charged. We have used a streak camera equipped with a spectrograph to analyze optical emission of plasma obtained in this way. Q-switched Nd:Yag laser was used to achieve the initial breakdown in air. Machine learning methods were used in order to classify optical spectra of plasmas with different electron temperatures obtained with different excitation energies. We have shown that, instead of using the usual way of identifying the spectral peaks and calculating their intensity ratio, it is possible to train the computer software to recognize the spectra corresponding to different electron temperatures. Principal component analysis was used to reduce the dimensionality of problem. We present possibilities of plasma electron temperature estimation based on several clustering algorithms.