Simple adaptive filtering scheme to improve measurement accuracy of gyroscope on angular motion base

The objective of this work is to improve the measurement accuracy of a gyroscope on a angular motion base with a simple adaptive filter scheme. Two main topics are highlighted in this work. The first topic is to show building a dual-process model employed for the conventional Kalman filter. The second topic is to show developing a modified noise adaptive algorithm when measurement noise and process noise are unknown. The experimental results are presented to show that the simple adaptive filtering scheme outperforms the other conventional scheme in this paper in terms of noise reduction.     

陀螺罗经精密电源系统

本文介绍一种采用数字式三相正弦波合成技术和设置多种故障检测报警功能以及配备应急供电的陀螺罗经电源系统。它的性能稳定可靠,使用方便。实践证实这种电源革新方案是可行的,它不仅适用于精度高的军用罗经,对于民用罗经也是有益的。     

现代船舶动力定位系统设计

围绕现代动力定位系统的设计问题,讨论系统的构建、数学建模、控制器设计和推力器的推力分配,重点给出了基于扩展Kalman滤波的动力定位LQG控制器设计算法。     

基于人工神经网络的故障诊断技术在船舶导航系统中的应用

应用对向传播神经网络对船舶导航系统的测姿故障进行检测与诊断，得到了较为满意的结果。研究表明，该网络结构简单，学习速度快，适应性广，可以对船舶导航系统的传感器故障进行检测与诊断。     

A New Fine Damping Method for Solid ESG Rotor

Introduction The spin axis of ESG rotor will move alongclosed trajectories periodically after spin up, thetrajectories enclose either the maximum or theminimum principal axis of inertia depending on theinitial conditions, which is classical polhode mo-tion[1-4]. It is necessary to damp the polhode mo-tion to ensure that the spin axis is aligned with therotor maximum principal axis of inertia for ESGsignal readout. Passive damping and active damp-ing are two common schemes to fulfill this pro…     

人工智能在车辆自动驾驶中的应用

提出一种新的基于人工智能的感知 计划 动作agent结构实现智能车辆自动驾驶的方案。首先通过描述该结构的原理说明该结构可以解决自动驾驶中存在的一些问题,接着通过建立自动驾驶知识库阐述如何具体实现自动驾驶,最后通过仿真实验验证该方法能够为智能车辆实现自动或辅助驾驶提供一种非常有效的机制。     

船舶运动混合智能控制评述

船舶运动控制表现出强干扰、时变、非线性、不确定、高可靠性要求的特点,其重要性和复杂性使其成为自动控制理论最为活跃的应用研究领域之一.智能控制以及各种智能技术集成的混合智能控制方法在这一领域得到广泛关注.文中分析比较了各种智能控制和传统榨制的特点、混合模式,介绍了混合智能控制应用于船舶运动控制的研究成果,指出了现有混合智能控制尚未有效解决的问题及船舶运动控制研究的发展方向.     

Electrostatic Suspension System Nonlinear Character Analysis and Its Internal Model Control

Nonlinearity is an important characteristic in electrostatic suspension system (ESS). This paper concludes the nonlinear parts in ESS, which generally result from the relationships between rotor displacement and capacitance, rotor displacement and electrostatic force, and control voltage and electrostatic force. In terms of the nonlinearities, a new control method with modified internal model control (IMC) was proposed to analyze the ESS, deduce the transfer function of the modified IMC controller in ESS, and simulate this new application in ESS. Comparing with proportional integral derivative (PID) control, IMC has only a parameter, and has better performance. As a result, IMC solves nonlinearity error well in ESS with only one uncertain parameter, and performs well when the rotor has large displacement.     

AIG based nonlinear anisotropic smoothing strategy for vector-valued images

The effects of the Rician noise on the calculated tensors are analyzed and an affine invariant gradient (AIG) based nonlinear anisotropic smoothing strategy is presented. The AIG based smoothing strategy is a development of the affine invariant nonlinear anisotropic diffusion (AINAD) restoration model, introduced by Guillermo Sapiro, and adopted to restore vector-valued data. To evaluate the efficiency of the presented AINAD model in accounting for the Rician noise introduced into the vector-valued data, the peak-to-peak signal-to-noise ratio (PSNR), signal-to-mean squared error ratio (SMSE) and Beta(parameter that stands for edge preservation) metrics are used. The experiment results acquired from the synthetic and real data prove the good performance of the presented filter.