Nonlinear robust observer design for strapdown INS in-flight alignment

A nonlinear observer is proposed for a strapdown inertial navigation system (SDINS) in-flight alignment problem using an H/sub /spl infin// filter Riccati equation and a freedom parameter. The proposed observer improves the filtering stability, convergence, and performance. The characteristics of the observer are analyzed using a Lyapunov function. Simulation results demonstrate a significant reduction in alignment errors by employing the proposed nonlinear observer. The observer is developed in general such that it can be applied to estimating nonlinear systems other than the SDINS in-flight alignment.     

Mapping Magnetospheric Equatorial Regions at Saturn from Cassini Prime Mission Observations

Saturn??s rich magnetospheric environment is unique in the solar system, with a large number of active magnetospheric processes and phenomena. Observations of this environment from the Cassini spacecraft has enabled the study of a magnetospheric system which strongly interacts with other components of the saturnian system: the planet, its rings, numerous satellites (icy moons and Titan) and various dust, neutral and plasma populations. Understanding these regions, their dynamics and equilibria, and how they interact with the rest of the system via the exchange of mass, momentum and energy is important in understanding the system as a whole. Such an understanding represents a challenge to theorists, modellers and observers. Studies of Saturn??s magnetosphere based on Cassini data have revealed a system which is highly variable which has made understanding the physics of Saturn??s magnetosphere all the more difficult. Cassini??s combination of a comprehensive suite of magnetospheric fields and particles instruments with excellent orbital coverage of the saturnian system offers a unique opportunity for an in-depth study of the saturnian plasma and fields environment. In this paper knowledge of Saturn??s equatorial magnetosphere will be presented and synthesised into a global picture. Data from the Cassini magnetometer, low-energy plasma spectrometers, energetic particle detectors, radio and plasma wave instrumentation, cosmic dust detectors, and the results of theory and modelling are combined to provide a multi-instrumental identification and characterisation of equatorial magnetospheric regions at Saturn. This work emphasises the physical processes at work in each region and at their boundaries. The result of this study is a map of Saturn??s near equatorial magnetosphere, which represents a synthesis of our current understanding at the end of the Cassini Prime Mission of the global configuration of the equatorial magnetosphere.     

Sequential localization of a radiating source by Doppler-shiftedfrequency measurements

For a single omnidirectional sensor in contact with a constant velocity source that radiates a constant frequency tone, the measurements of the Doppler-shifted frequencies over time do not provide sufficient information to localize the source. Instead, only the parameters of source rest frequency, speed, and range relative to a sensor can be determined. However, if over time three or more sensors sequentially come in contact with the source, the source trajectory can then be specified. This is termed sequential localization. A two-dimensional grid search technique to find the Doppler parameters from measurements taken by a single sensor alone is presented. From these parameters, it is next shown how sequential localization is accomplished. Two simulation examples are provided to verify the development. The localization root mean squared errors (RMSEs) are found to be very close to the Cramer-Rao bound     

Comparison of various periodograms for sinusoid detection andfrequency estimation

With the advent of the fast Fourier transform (FFT) algorithm, the periodogram and its variants such as the Bartlett's procedure and Welch method, have become very popular for spectral analysis. However, there has not been a thorough comparison of the detection and estimation performances of these methods. Different forms of the periodogram are studied here for single real tone detection and frequency estimation in the presence of white Gaussian noise. The threshold effect in frequency estimation, that is, when the estimation errors become several orders of magnitude greater than the Cramer-Rao lower bound (CRLB), is also investigated. It is shown that the standard periodogram gives the optimum detection performance for a pure tone while the Welch method is the best detector when there is phase instability in the sinusoid. As expected, since the conventional periodogram is a maximum likelihood estimator of frequency, it generally provides the minimum mean square frequency estimation errors     

A Kalman Filter Based Tracking Scheme with Input Estimation

Beginning with the derivation of a least squares estimator that yields an estimate of the acceleration input vector, this paper first develops a detector for sensing target maneuvers and then develops the combination of the estimator, detector, and a "simple" Kalman filter to form a tracker for maneuvering targets. Finally, some simulation results are presented. A relationship between the actual residuals, assuming target maneuvers, and the theoretical residuals of the "simple" Kalman filter that assumes no maneuvers, is first formulated. The estimator then computes a constant acceleration input vector that best fits that relationship. The result is a least squares estimator of the input vector which can be used to update the "simple" Kalman filter. Since typical targets spend considerable periods of time in the constant course and speed mode, a detector is used to guard against automatic updating of the "simple" Kalman filter. A maneuver is declared, and updating performed, only if the norm of the estimated input vector exceeds a threshold. The tracking sclheme is easy to implement and its capability is illustrated in three tracking examples.     

四足机器人智能交互控制研究

针对四足机器人在辅助作业背景下,通过远程遥控或地面站控制难以满足人机灵活交互需求的问题,在研究实现四足机器人基本步态控制基础上,结合无线定位和激光雷达感知环境赋予机器人避障和人员跟随功能,采用Openpose姿态识别方法,通过视觉传感器进行人机交互,实现不同姿态对机器人基本运动行为和跟随任务的控制,并基于ROS系统开展不同环境条件下交互识别和控制效果测试,姿态识别速度为20帧/s,理想环境下准确度大于90%,机器人反应时间小于1 s。     

一种韧性断裂准则中材料常数的计算模型及其应用

为确定符合板材变形规律的韧性断裂准则中的材料常数,基于传统M-K模型框架并进行修正,结合单向拉伸和平面应变试验数据,提出一种新的韧性断裂准则材料常数计算模型。利用MATLAB软件编写该计算模型的算法程序,得到应用于铝镁合金5A06-O板材的不同韧性断裂准则材料常数。同时将CL韧性断裂准则嵌入Abaqus/Explicit显示模块的用户材料子程序VUMAT。在200℃的条件下,对铝镁合金5A06-O板材在热介质胀形和充液热拉深中的断裂行为进行数值模拟,并与相同工艺参数下的试验所得结果作对比。结果表明,热介质胀形高度误差为6.2%,充液热拉深深度误差为8.5%,验证了韧性断裂准则材料常数计算模型的正确性,表明了CL韧性断裂准则在板材充液热成形中的适用性。     

基于修正M-K模型的铝合金板材成形极限图预测

为准确预测AA7075-O铝合金板材的成形极限,将韧性断裂准则和传统M-K模型相结合,提出一种基于韧性断裂准则的修正M-K模型.利用单向拉伸模拟和试验相结合的方法,提取危险单元的应力应变历史并代入C-L韧性断裂准则中,得到材料常数.基于单向拉伸试验所得成形极限点,通过MATLAB编程得到修正M-K模型的初始厚度不均度.在常温下,以单向拉伸、宽板弯曲、液压胀形试验获得AA7075-O铝合金板材的成形极限曲线,与修正M-K模型和传统M-K模型计算得到的理论成形极限曲线进行对比,验证了修正M-K模型的可行性和准确性.      

综合质量管理系统的一种方法(英文)

ＩＳＯ９０００认证已被制造业视为一种有效的竞争优势。在香港,ＩＳＯ９０００认证已获得广泛采纳,并已伸延至服务行业,藉以提高公司形象。不过,不少取得认证的公司因抱怨原因而将文件工作、非直接生产员工及过多资源转投在非核心业务方面。本文旨在推荐一套既能专注于主要业务,又能灵活地结合其他管理标准,如ＩＳＯ９０００、ＩＳＯ１４０００及将来ＩＳＯ１８０００要求的“综合管理系统”。本文最后阐述了如何实施建议的综合管理系统,以达到理想的业务表现。