低照度图像的分段非线性化处理算法

为增强低照度图像,在考虑人视觉分辨力的基础上,对图像固有的信息使用图像前景像素值与背景像素值的灰度值之差的绝对值作为图像的对比度,通过均衡化因子,用非线性均衡化方法把隐藏在低照度图像中的信息提取出来.该方法在对图像灰度谱分段非线性化时,通过优化补偿因子,提高其补偿迭代速度,快速获得所需要的图像.     

双电机驱动关节的线性化控制研究

本文基于齿轮传动系统存在的齿隙非线性问题,提出了一种双电机驱动双主动齿轮啮合同一从动齿轮的驱动方案。设计了双电机协调控制算法,包括力矩线性化控制算法与单速度环速度反馈线性化控制算法,解决了电机齿轮传动系统运动过程中的齿隙非线性问题。本文首先介绍了双电机消隙原理与控制方案,然后建立双电机系统控制模型进行分析,最后搭建仿真模型进行控制方案的验证。仿真结果表明,本文所提出的双电机控制方案可以有效地解决齿轮传动中的齿隙非线性问题。     

无刷直流电机调速系统的IMC-PID抗饱和控制

针对无刷直流电流电机双闭环调速系统转速调节器存在的非线性饱和特性,提出一种IMC-PID抗饱和控制方案。首先根据内模控制原理设计出转速环和电流环的IMC-PID控制器,然后引入可行性参考输入的概念,设计出基于条件技术的转速环IMC-PID抗饱和控制器,最后为验证IMC-PID抗饱和控制器的可行性,将该控制器应用于无刷直流电机双闭环调速系统中。仿真结果表明:该控制器不仅具有的良好的抗干扰性和鲁棒性,而且改善了系统的动态性能,有效抑制了饱和现象的影响。     

Software for estimation of second order effective material properties of porous samples with geometrical and physical nonlinearity accounted for

A method and an algorithm for numerical estimation of effective mechanical properties of porous materials are presented. The effective properties are sought in the form of the nonlinear relation between the second Piola–Kirchhoff stress tensor and the Green strain tensor for anisotropic materials with second-order nonlinearities accounted for. The effective characteristics of test models are computed by means of a CAE Fidesys program module based on the proposed algorithm. The effective material properties as functions of porosity are examined. The finite element mesh that contained more than a million of elements was used while performing stress analysis of a specimen. To reduce computing time, assembly and solution of the global equation system was done in parallel using CUDA technology. The computations were carried out on NVIDIA Tesla C2050 graphics processors. Our results show that accounting for nonlinear effects is essential for correct estimation of effective properties of porous materials.     

机械式仿骨骼肌变刚度机构原理及设计

随着物理性人机交互的增加,人机安全性等问题引起关注.应用于机器人关节中的机械式仿骨骼肌变刚度机构因其能够模仿骨骼肌的变刚度特性,故可以解决人机安全性和未知环境适应性等问题.通过对国外机器人变刚度关节结构设计的研究,总结了机械式仿骨骼肌变刚度机构的非线性变刚度原理,将其结构设计实现方法分为5类,并分析了这5类结构设计实现的优缺点,为设计安全性高、适应性强的机器人提供参考和依据.     

结构尺寸对LNG低温螺旋波纹钢管弯曲性能的影响分析

基于ANSYS三维壳模型,依据结构几何尺寸对LNG低温螺旋波纹钢管进行参数化有限元建模.考虑低温环境下材料力学性能的改变和结构几何非线性因素,对弯曲载荷作用下低温螺旋波纹钢管结构力学性能进行数值模拟;分析管体弯曲失效模式和力学行为特点.改变结构几何尺寸,分析比较波峰和波谷极值应力以及管道整体力学性能,发现尺寸参数对低温波纹钢管力学性能的影响显著,分析相应的灵敏度规律,最后给出合理的截面尺寸参数.分析结果可以为低温柔性管道的结构设计提供参考.     

A modified dynamic surface approach for control of nonlinear systems with unknown input dead zone

This paper focuses on the robust output precise tracking control problem of uncertain nonlinear systems in pure‐feedback form with unknown input dead zone. By designing an extended state observer, the states unmeasurable problem in traditional feedback control is solved, and the lumped uncertainty, which is caused by system unknown functions and input dead zone, is estimated. In order to apply separation principle, finite‐time extended state observer is designed to obtain system states and estimate the lumped uncertainty. Then, by introducing tracking differentiator, a modified dynamic surface control approach is developed to eliminate the ‘explosion of complexity’ problem and guarantee the tracking performance of system output. Because tracking differentiator is a fast precise signal filter, the closed‐loop control performance is significantly improved when it is used in dynamic surface control instead of first‐order filters. The L _∞ stability of the whole closed‐loop system, which guarantees both the transient and steady‐state performance, is shown by the Lyapunov method and initialization technique. Numerical and experiment examples are performed to illustrate our proposed control scheme with satisfactory results. Copyright © 2013 John Wiley & Sons, Ltd.     

重力坝动力深层抗滑稳定性研究

基于我国西南某待建高碾压混凝土重力坝,建立了典型坝段三维有限元接触分析模型,分别采用强度折减动力分析法和时程安全系数分析法,综合研究了坝基动力深层抗滑稳定性。同时针对传统时程安全系数分析存在的局限性,基于概率统计深入探讨并改进了可靠度动力安全系数评价指标。研究结果表明,大坝满足动力深层抗滑稳定设计要求,本文所采用的理论方法能够考虑地震作用的往复性和随机性,评价结果更为科学合理,为重力坝动力抗滑稳定的定量判别进行了有益探索。     

Model Predictive Control for Discrete‐Time Systems with Random Delay and Randomly Occurring Nonlinearity

In this paper, the model predictive control problem is investigated for a class of discrete‐time systems with random delay and randomly occurring nonlinearity. The randomly occurring nonlinearity, which describes the phenomena of a class of nonlinear disturbances occurring in a random way, is modeled according to a Bernoulli distributed white sequence with a known conditional probability. Moreover, the random delay is governed by a discrete‐time finite‐state Markov chain. The approach of delay fractioning is applied to the controller synthesis. It is shown that the proposed model predictive controller guarantees the stochastic stability of the closed‐loop system. Finally, a numerical simulation is given to illustrate the effectiveness of the proposed method.     

一类代数免疫度达到最优的布尔函数的构造

给出了一种具有最优代数免疫度的偶数元布尔函数的构造,同时还给出了一种具有最优代数免疫度的平衡旋转对称偶数元布尔函数的构造.在构造过程中用到了线性代数和组合计数中的有关结论,这些函数对代数攻击均有很强的抵抗能力.构造的平衡旋转对称布尔函数还可用在Hash算法的轮函数中,增加了算法的安全性.