电动机性能试验数据的曲线拟合方法

论述了三相异步电动机试验数据的曲线拟合方法,并给出了用VB语言编写的程序.     

Uncapacitated Euclidean Hub Location: Strengthened Formulation,New Facets and a Relax-and-cut Algorithm

The multiple allocation uncapacitated hub location problem is considered. This problem arises in transportation systems when several locations send and receive passengers and/or express packages and the performance of these systems can be improved by using transshipment points (hubs), where the passengers/packages are collected and distributed. An Integer Programming formulation, the one giving the best computational results until now, serves as a basis for the solution method. Using the fact that the transportation costs between hubs satisfy the triangle inequality, an analysis of the set of solutions that are not candidates to be optimal is carried out and, as a consequence, the formulation of the problem can be strengthened by means of powerful valid inequalities obtained through the study of the intersection graph of an associated set packing problem. The algorithm developed uses the most promising of these inequalities in a Lagrangian relaxation context to reduce the size of the branching tree and improve the computational times. This improvement is shown by means of a computational study, where a set of instances are optimally solved with low computational effort.     

Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands

The term ‘synergy’ – from the Greek synergia – means ‘working together’. The concept of multiple elements working together towards a common goal has been extensively used in neuroscience to develop theoretical frameworks, experimental approaches, and analytical techniques to understand neural control of movement, and for applications for neuro-rehabilitation. In the past decade, roboticists have successfully applied the framework of synergies to create novel design and control concepts for artificial hands, i.e., robotic hands and prostheses. At the same time, robotic research on the sensorimotor integration underlying the control and sensing of artificial hands has inspired new research approaches in neuroscience, and has provided useful instruments for novel experiments.The ambitious goal of integrating expertise and research approaches in robotics and neuroscience to study the properties and applications of the concept of synergies is generating a number of multidisciplinary cooperative projects, among which the recently finished 4-year European project “The Hand Embodied” (THE). This paper reviews the main insights provided by this framework. Specifically, we provide an overview of neuroscientific bases of hand synergies and introduce how robotics has leveraged the insights from neuroscience for innovative design in hardware and controllers for biomedical engineering applications, including myoelectric hand prostheses, devices for haptics research, and wearable sensing of human hand kinematics. The review also emphasizes how this multidisciplinary collaboration has generated new ways to conceptualize a synergy-based approach for robotics, and provides guidelines and principles for analyzing human behavior and synthesizing artificial robotic systems based on a theory of synergies.     

变时基技术在汽车实验模态分析中的应用

实验模态分析是了解汽车动态特性的重要工具。文中介绍了用基于变时基技术的冲击激励实验模态分析对某改装汽车进行的分析。利用分析结果,对该汽车动态设计水平进行了评价。     

Quantification of the power changes in BOLD signals using Welch spectrum method during different single-hand motor imageries

Motor imagery is an experimental paradigm implemented in cognitive neuroscience and cognitive psychology. To investigate the asymmetry of the strength of cortical functional activity due to different single-hand motor imageries, functional magnetic resonance imaging (fMRI) data from right handed normal subjects were recorded and analyzed during both left-hand and right-hand motor imagery processes. Then the average power of blood oxygenation level-dependent (BOLD) signals in temporal domain was calculated using the developed tool that combines Welch power spectrum and the integral of power spectrum approach of BOLD signal changes during motor imagery. Power change analysis results indicated that cortical activity exhibited a stronger power in the precentral gyrus and medial frontal gyrus with left-hand motor imagery tasks compared with that from right-hand motor imagery tasks. These observations suggest that right handed normal subjects mobilize more cortical nerve cells for left-hand motor imagery. Our findings also suggest that the approach based on power differences of BOLD signals is a suitable quantitative analysis tool for quantification of asymmetry of brain activity intensity during motor imagery tasks.     

无刷直流电机的控制系统设计与研究

无刷直流电机(BLDCM)以其可靠性高、动态性能好等优越的性能,使其得到了广泛的应用;但在一些控制系统中,外加干扰、参数摄动等因素影响了系统的动、静态性能和鲁棒性。针对这一问题,提出将反演设计与自适应滑模变结构控制相结合的方法来控制无刷直流电机的速度控制器,从而实现对总的不确定性f的估计,使系统的不确定性具有鲁棒性。所用的控制算法提高系统的稳态跟踪精度,并且使整个的闭环系统满足期望的动静态性能指标。     

三相异步电动机控制电路中的元件选择和故障诊断

本文介绍了在三相异步电动机控制电路中如何正确的选择控制元件,三相异步电动机正反转控制电路的工作原理以及如何用电阻测量法和电压测量法检测电路故障。     

步进电机的单片机控制及细分减振控制法

在对步进电机细分驱动原理进行深入研究的基础上。提出了一种新的步进电机控制方法。可有效地抑制步进电机的振动,可满足精密机械与仪器系统的要求。