短波功率放大器非线性失真的改进策略

分析短波功率放大器非线性失真的产生原因和影响,总结功率放大器中常用的线性化方法,比较其中的功率回退法和预失真法的优缺点.对数字基带预失真法的工作原理进行重点分析,并对其作为短波功率放大器线性化方案的可行性进行了探讨.     

Low-power and Low-cost Design of Survival Memory Unit for 1000Base-T Gigabit Ethernet Transceiver

Introduction The Gigabit Ethernet (GbE) on category-5unshielded twins pair (UTP) which corresponds tothe IEEE 802.3 ab1000 Base-T standard has grad-ually become the main trend of local area network(LAN). To take advantage of the additional cod-ing gain offered by the trellis-coded modulation(TCM) coding without using a maximum likeli-hood sequence estimation (MLSE) decoder, a deci-sion feedback sequence estimate[1](DFSE) decodercan be used[2-6]. Like the decision feedback equalizer …     

Disturbance compensation with a torque controllable steering system

Via a conventional steering system the driver perceives desired and disturbing effects such as road feedback and resonance effects, respectively. They appear with overlapping frequency spectra within the driver's steering torque. This paper introduces a control algorithm that is suppressing periodic disturbances without affecting useful steering road feedback attributes as well as regular power assistance characteristic. This is realised by an integrated torque actuator within the steering column in conjunction with a conventional Hydraulic-assisted Power Steering (HPS) system.     

EMS型磁浮列车模块的运动耦合研究

EMS型低速磁浮列车通常采用模块化的转向架结构,模块是集悬浮、导向和牵引功能于一身的基本功能单元.模块内部的2个悬浮端通过刚体连接,导致两端的运动状态互相耦合.常用的处理方法是将这种耦合作为系统的外部干扰,通过提高系统的鲁棒性加以抑制.本文从机械运动的角度,研究了EMS型低速磁浮列车模块的耦合问题,提出通过解耦算法实现2个悬浮端之间的运动解耦.首先在对物理模型进行合理简化和假设的基础上,建立了模块悬浮系统的数学模型,并以此为基础分析了模块运动耦合的本质,然后提出了通过反馈线性化方法实现模块运动电气解耦的方案.仿真结果表明,模块的运动耦合对悬浮系统动态特性具有显著的影响,本文提出的解耦方案可有效地解决耦合问题,简化悬浮控制器的设计,提高悬浮系统的性能.     

ROBUST CONTROL WITH COVARIANCE CONSTRAINT FOR UNCERTAIN SAMPLED-DATA FEEDBACK CONTROL SYSTEMS

ＩｎｔｒｏｄｕｃｔｉｏｎＡｓａｔｉｓｆａｃｔｏｒｙｅｎｇｉｎｅｅｒｉｎｇｃｏｎｔｒｏｌｓｙｓｔｅｍｓｈｏｕｌｄｐｏｓｓｅｓｓｍｕｌｔｉｐｌｅｄｅｓｉｒｅｄｐｅｒｆｏｒｍａｎｃｅｓｓｕｃｈａｓｇｏｏｄｒｏｂｕｓｔｎｅｓｓｔｏｍｏｄｅｌｉｎｇｅｒｒｏｒ．...     

Dynamics of connected vehicle systems with delayed acceleration feedback

In this paper, acceleration-based connected cruise control (CCC) is proposed to increase roadway traffic mobility. CCC is designed to be able to use acceleration signals received from multiple vehicles ahead through wireless vehicle-to-vehicle (V2V) communication. We consider various connectivity structures in heterogeneous platoons comprised of human-driven and CCC vehicles. We show that inserting a few CCC vehicles with appropriately designed gains and delays into the flow, one can stabilize otherwise string unstable vehicle platoons. Exploiting the flexibility of ad-hoc connectivity, CCC can be applied in a large variety of traffic scenarios. Moreover, using acceleration feedback in a selective manner, CCC provides robust performance and remains scalable for large systems of connected vehicles. Our conclusions are verified by simulations at the nonlinear level.     

Exact and grid-free solutions to the Lighthill–Whitham–Richards traffic flow model with bounded acceleration for a class of fundamental diagrams

In this article, we propose a new exact and grid-free numerical scheme for computing solutions associated with an hybrid traffic flow model based on the Lighthill–Whitham–Richards (LWR) partial differential equation, for a class of fundamental diagrams. In this hybrid flow model, the vehicles satisfy the LWR equation whenever possible, and have a constant acceleration otherwise. We first propose a mathematical definition of the solution as a minimization problem. We use this formulation to build a grid-free solution method for this model based on the minimization of component function. We then derive these component functions analytically for triangular fundamental diagrams, which are commonly used to model traffic flow. We also show that the proposed computational method can handle fixed or moving bottlenecks. A toolbox implementation of the resulting algorithm is briefly discussed, and posted at https://dl.dropbox.com/u/1318701/Toolbox.zip.     

Can feedback from in-vehicle data recorders improve driver behavior and reduce fuel consumption?

This paper evaluates the effectiveness of feedback, based on In-Vehicle Data Recorders (IVDR), to improve driving behavior, increase driving safety, and reduce fuel consumption. We developed a framework for driving-behavior measurement, incorporating second-by-second data collected by IVDRs. IVDR units were installed in over 150 vehicles driven by more than 350 drivers for over a year. The experiment was divided into three stages. The first stage was a “blind”, control stage, with no feedback. The second stage incorporated verbal feedback given only to riskiest drivers. In the third stage all drivers received a bi-weekly written report about their driving performance. Safety events, such as braking, lateral acceleration or speeding, were recorded. Supplementary data regarding safety related events and fuel consumption were also collected. Safety incidents and fuel consumption were modeled as a function of IVDR measurement-based events, in order to identify which events best reflect safety incidents and excessive fuel consumption. Our results show that braking events best explain safety incidents, and all events together best explain fuel consumption. In addition, we found that for the riskiest drivers, feedback significantly reduced the IVDR events. Our models show that feedback can lead to a reduction of 8% in safety incidents, and 3–10% in fuel consumption, with a larger reduction obtained for large vehicles.     

地铁列车能耗分析

通过对广州地铁一号线列车在正常运营时牵引系统能量消耗的分析,表明:目前地铁列车再生反馈制动的节能效果明显,在运营行车密度足够大的情况下,通过制动电阻消耗的能量是很有限的。     

基于卡尔曼滤波的潜器运动状态观测器

该文以某型潜器为研究对象,通过对潜器的运动方程线性化,用卡尔曼滤波预测潜器运动状态量,并根据实际的输出量（量测值）来修正预测值,得到估计的状态量。仿真结果表明,量测输出精度越高、潜器运动状态变化越慢,观测器的估计误差就越小。