智能电流变送器中HART调制解调器的实现方法

设计一种嵌入式智能电流变送器,采用HART协议进行信号的调制解调。基于HART协议的智能电流变送器所提供的通信通道,在传输传感器数据的同时,还可传输控制和诊断信号,具有较高的工程实用价值。本文介绍HART智能仪表的特点与智能电流变送器的组成,较详细地分析HART调制解调器的实现方法。     

Robust Adaptive Backstepping Motion Control of Linear Ultrasonic Motors Using Fuzzy Neural Network

A robust adaptive fuzzy neural network (RAFNN) backstepping control system is proposed to control the position of an X-Y-Theta motion control stage using linear ultrasonic motors (LUSMs) to track various contours in this study. First, an X-Y-Theta motion control stage is introduced. Then, the single-axis dynamics of LUSM mechanism with the introduction of a lumped uncertainty, which includes cross-coupled interference and friction force, is derived. Moreover, a conventional backstepping approach is proposed to compensate the uncertainties occurred in the motion control system. Furthermore, to improve the control performance in the tracking of the reference contours, an RAFNN backstepping control system is proposed to remove the chattering phenomena caused by the sign function in the backstepping control law. In the proposed RAFNN backstepping control system, a Sugeno-type adaptive fuzzy neural network (SAFNN) is employed to estimate the lumped uncertainty directly and a compensator is utilized to confront the reconstructed error of the SAFNN. In addition, the motions at the X axis, Y axis, and Theta axis are controlled separately. The experimental results show that the contour tracking performance is significantly improved and the robustness to parameter variations, external disturbances, cross-coupled interference, and friction force can be obtained, as well using the proposed RAFNN backstepping control system.     

Robust H infinity fuzzy control for a class of uncertain discrete fuzzy bilinear systems.

The main theme of this paper is to present robust fuzzy controllers for a class of discrete fuzzy bilinear systems. First, the parallel distributed compensation method is utilized to design a fuzzy controller, which ensures the robust asymptotic stability of the closed-loop system and guarantees an H(infinity) norm-bound constraint on disturbance attenuation for all admissible uncertainties. Second, based on the Schur complement and some variable transformations, the stability conditions of the overall fuzzy control system are formulated by linear matrix inequalities. Finally, the validity and applicability of the proposed schemes are demonstrated by a numerical simulation and the Van de Vusse example.     

Evaluating Electronic Voting Systems Equipped with Voter-Verified Paper Records

Despite their widespread deployment, questions about electronic voting systems' performance emerge following many elections. To encourage full public confidence in the electoral process, some researchers recommend equipping electronic voting machines with voter-verifiable audit trails that print out paper records that voters can read and verify. In this article, the authors report on their analysis and testing of one US state's criteria for direct-recording electronic (DRE) voting machines equipped with voter-verified paper-record (VVPR) systems. The criteria and analysis cover various categories, including privacy, security, verification, integrity, functionality, and examination. The authors describe their testing methodologies, discuss issues exhibited by different voting systems, and propose solutions to address those issues.     

A corner differentiation algorithm by a single sonar sensor for mobile robots

Ultrasonic sensors have been widely applied in mobile robots to obtain environmental information and avoid obstacles. In general, a typical domestic environment consists of planes, edges and corners. It is usually difficult to distinguish a plane from a corner directly with a single ultrasonic sensor. To overcome this difficulty, a corner differentiation algorithm for a single ultrasonic sensor is proposed in this paper. The algorithm is based on the features of all of the actual reflection points from the environment obtained by a reflection search algorithm from which the corners are realized by a corner differentiation algorithm. The experimental results show that the developed algorithm can successfully detect all planes and corners. Furthermore, an environmental map can be built based on the information obtained on planes and corners. Copyright © 2008 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society     

A confidence-based framework for business to consumer (B2C) mobile commerce adoption

The Technology Acceptance Model (TAM) has been considered to be fundamental in determining the acceptance of new technology in the past decades. The two beliefs, ease of use and usefulness, in the model may not, however, fully explain the consumers’ behavior in an emerging environment, such as mobile commerce (m-commerce). This paper aims to develop a framework for m-commerce adoption in consumer decision-making processes. In this paper TAM has been adopted and extended to analyze successful m-commerce adoption. The key elements of the proposed confidence-based framework for B2C m-commerce adoption include psychological and behavioral factors. Psychological factors include history-based confidence, institution-based confidence and personality-based confidence. Behavioral factors include perceived ease of use and perceived usefulness of the mobile application and technology.     

图形电磁计算方法的改进

图形电磁计算方法是计算复杂目标高频区雷达散射截面(RCS)的有效方法之一.而复杂目标的电磁散射主要来源于面元以及棱边.针对传统图形电磁计算方法的特点及其不足之处,提出并实施了相应的改进措施,包括:对面元散射场的离散化计算公式进行了修正,对棱边散射场的计算引用新的等效电磁流边缘分量表达式.计算实例表明,改进后的方法与实验测量值吻合良好,具有更高的计算精度和准确性.该方法对隐身与反隐身技术及仿真技术的研究,具有一定的参考价值.     

200MW乏气送粉机组主蒸汽温度控制优化方案

本文在常规火电厂主蒸汽温度自动控制方案的基础上,对200MW乏气送粉机组的特性进行了分析,结合锅炉主要参数与主蒸汽温度自动控制的相互关系,以及相关的工艺要求,提出了一种新的优化方案。