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自从１９９５年１２月ＳＯＬＩＤ　ＥＤＧＥ软件被推出以来,在全世界ＣＡＤ业界内一石激起千层波。其强大的功能和友好易用的用户界面对高端和低端ＣＡＤ系统带来了强劲挑战。而１９９８年初,Ｕｎｉｇｒａｐｇｉｃｓ　Ｓｏｌｕｔｉｏｎｓ公司并购ＳＯＬＩＤＥＤＧＥ,将其内核改写为著名的ＰＡＲＡＳＯＬＩＤ内核,更使ＳＯＬＩＤＥＤＧＥ如虎添翼,内部几何拓扑运算功能大为增强。全新面貌的ＳＯＬＩＤＥＤＧＥ软件将提供机械设计工程及产品设计专业人员有别于传统ＣＡＤ软件的先进科技技术。它将过去价钱昂贵而封闭的ＣＡＤ系统提升到一…     

模糊－PID控制器的计算机辅助设计

模糊－ＰＩＤ控制器的计算机辅助设计熊聪聪，白瑞林ＳｔｕｄｙｏｎｔｈｅＣＡＤｏｆｔｈｅＦｕｚｚｙ—ＰＩＤＣｏｎｔｒｏｌｌｅｒ￥ＸｉｏｎｇＣｏｎｇｃｏｎｇ；ＢａｉＲｕｉｌｉｎｌ引言模糊控制器与ＰＩＤ、自适应等控制器不同．它的控制规则是产生式的模糊语言规则...     

灵活可变的RAID体系结构FlexArch的研究

灵活可变的ＲＡＩＤ体系结构ＦｌｅｘＡｒｃｈ的研究金海，张江陵（华中理工大学计算机科学与工程系武汉４３００７４）ＦＬＥＸＩＢＬＥＡＲＣＨＩＴＥＣＴＵＲＥＯＦＲＡＩＤ￥ＪｉｎＨａｉａｎｄＺｈａｎｇＪｉａｎｇｌｉｎｇ（ＤｅｐａｒｔｍｅｎｔｏｆＣｏｍｐｕｔｅ...     

A Fast Hidden-line Removal Algorithm for 3-Dimensional Buildings

ＡＦＡＳＴＨＩＤＤＥＮ－ＬＩＮＥＲＥＭＯＶＡＬＡＬＧＯＲＩＴＨＭＦＯＲ３－ＤＩＭＥＮＳＩＯＮＡＬＢＵＩＬＤＩＮＧＳＱｉｎＫａｉｈｕａｉ；ＴｏｎｇＧｅｌｉａｎｇ；ＺｈａｎｇＮａｎ；ＣｈｅｎＤａｉｌｉｎ；ＬｉＹｕｎｇｕｉ；ＳｈｅｎＷｅｎｄｕＡＦＡＳＴＨＩ...     

速度与稳定性兼得——构筑强大的存储系统

到目前为止,ＲＡＩＤ 硬盘控制器都是面向昂贵的ＳＣＳＩ系统的。 ＣＨＩＰ对面向低端的ＩＤＥ ＲＡＩＤ硬盘控制器——Ｐｒｏｍｉｓｅ ＦａｓｔＴｒａｋ６６ ＲＡＩＤ卡进行了测试,得出令人惊讶的结论。     

A CONFIGURATION SYSTEM FOR FASTENER DESIGN（AN APPROACH TOWARDS COMPUTER AIDED CONCEPTUAL DESIGN）

ＡＣＯＮＦＩＧＵＲＡＴＩＯＮＳＹＳＴＥＭＦＯＲＦＡＳＴＥＮＥＲＤＥＳＩＧＮ（ＡＮＡＰＰＲＯＡＣＨＴＯＷＡＲＤＳＣＯＭＰＵＴＥＲＡＩＤＥＤＣＯＮＣＥＰＴＵＡＬＤＥＳＩＧＮ）ＧｕａｎｇＺｈｏｎｇ；ＭｉｋｅＤｏｏｎｅｒＡＣＯＮＦＩＧＵＲＡＴＩＯＮＳＹＳＴＥ...     

信息港

天域空间 仅售２８０元的ＰＲＯＭＩＳＥ ＵＤＭＡ／６６卡 最近,美国Ｐｒｏｍｉｓｅ公司推出了几款不同档次的ＵＤＭＡ／６６ＲＡＩＤ产品。随着硬盘外部传输率的不断提高, ＵＤＭＡ／６６已成为新一代的外部传输标准。 ＰＲＯＭＩＳＥ ＵＤＭＡ／６６卡采用ＰＲＯＭＩＳＥ公司的ＰＤＣ２０２６２的主控芯片,自带有可编程的ＢＩＯＳ。可以提供两个支持Ｕｌｔｒａ ＤＭＡ／６６协议的ＩＤＥ端口。可以连接４个ＩＤＥ设备。并且支持各种ＩＤＥ标准,（ＩＤＥ,ＥＩＤＥ,Ｆａｓｔ－ＡＴＡ, Ｕｌｔｒａ－ＡＴＡ）。 ＰＲＯＭＩＳＥ ＵＤＭ…     

一种基于模糊CMAC神经网络的自学习控制器

通过分析模糊控制和基于广义基函数的ＣＭＡＣ神经网络,提出一种模糊ＣＭＡＣ（ＦＣＭＡＣ）神经网络。通过ＦＣＭＡＣ权系数的在线学习,实现修正模糊逻辑。给出一种基于ＦＣＭＡＣ的自学习控制器的结构及合适的学习算法,这种网络每次学习少量参数,算法简单。仿真结果表明所提出的控制器优于传统的ＰＩＤ控制器。     

基于IDE的RAID──冗余磁盘阵列技术介绍

冗余磁盘阵列技术,即 ＲＡＩＤ（Ｒｅｄｕｎｄａｎｔ Ａｒｒａｙｓ ｏｆ Ｉｎｅｘｐｅｎ－ｓｉｖｅ Ｄｉｓｋｓ）是指通过利用多块硬盘按照一定的规则组成阵列的形式来达到提高数据传输速率或提供硬盘更高的容错性、保证数据安全的技术。最初的ＲＡＩＤ都是建立在ＳＣＳＩ接口技术的基础上,后来Ｄｒｏｍｉｓｓｅ公司率先提出并研发了基于ＩＤＥ硬盘的ＲＡＩＤ产品（ＦａｓｔＴｒａｋ ＲＡＩＤ控制卡和ＦａｓｔＳｗａｐ硬盘盒）,为ＩＤＥ硬盘用户提供了一种廉价的ＲＡＩＤ技术和更高的使用性能、安全保证。下面,笔者就根据收集到的有关资…     

不规则网格差分法在薄板几何非线性分析中的应用

不规则网格差分法在薄板几何非线性分析中的应用李光耀（湖南大学机械系）ＡＰＰＬＩＣＡＴＩＯＮＯＦＦＩＮＩＴＥＤＩＦＦＥＲＥＮＣＥＭＥＴＨＯＤＯＮＩＲＲＥＧＵＬＡＲＧＲＩＤＳＴＯＧＥＯＭＥＴＲＩＣＡＬＬＹＮＯＮＬＩＮＥＡＲＡＮＡＬＹＳＩＳＯＦＰＬＡＴＥＳ...     

Performance analysis of fractional order fuzzy PID controllers applied to a robotic manipulator

A two-link robotic manipulator is a Multi-Input Multi-Output (MIMO), highly nonlinear and coupled system. Therefore, designing an efficient controller for this system is a challenging task for the control engineers. In this paper, the Fractional Order Fuzzy Proportional-Integral-Derivative (FOFPID) controller for a two-link planar rigid robotic manipulator for trajectory tracking problem is investigated. Robustness testing of FOFPID controller for model uncertainties, disturbance rejection and noise suppression is also investigated. To study the effectiveness of FOFPID controller, its performance is compared with other three controllers namely Fuzzy PID (FPID), Fractional Order PID (FOPID) and conventional PID. For tuning of parameters of all the controllers, Cuckoo Search Algorithm (CSA) optimization technique was used. Two performance indices namely Integral of Absolute Error (IAE) and Integral of Absolute Change in Controller Output (IACCO) having equal weightage for both the links are considered for minimization. Numerical simulation results clearly indicate the superiority of FOFPID controller over the other controllers for trajectory tracking, model uncertainties, disturbance rejection and noise suppression.     

Design of an enhanced hybrid fuzzy P+ID controller for a mechanicalmanipulator

We propose in this paper an enhanced fuzzy P+ID controller to improve control performance in both dynamic transient and steady-state periods for mechanical manipulators under uncertainty. The fuzzy P+ID controller adds only two additional parameters to be tuned relative to the original PID controller. One of these parameters is mainly used to reduce a steady-state error. The other is used to speed up the dynamic response. A simulation study and experimental results for a two-link manipulator with uncertainty demonstrate the superior control performance of the proposed fuzzy P+ID controllers.     

Real Time Implementation of Fuzzy Gain Scheduling of PI Controller for Induction Motor Machine Control

In this work the control of an induction motor using fuzzy gain scheduling of PI controller (adaptive FLC-PI) is presented. Fuzzy rules are utilized on-line to determine the controller parameters based on tracking error and its first time derivative. Simulation and experimental results of the proposed scheme show good performances compared to the PI controller with fixed parameters.     

基于控制器输出误差方法的自适应模糊控制及其在机器人轨迹跟踪控制中的应用

本文提出一种自适应模糊控制器并将之用于机器人轨迹跟踪控制 ,该控制器采用控制器输出误差方法 (COEM) ,根据控制器的输出误差而不是对象的输出误差来在线地调整模糊控制器的参数 ,无须对对象进行辩识 .仿真结果表明该控制器用于机器人轨迹跟踪控制具有很好的性能 ,是一种有效的控制器     

混沌优化模糊控制器在铝电解控制中的应用

设计了基于CAN总线的预焙铝电解槽计算机控制系统的总体方案及基于混沌优化的电解质温度模糊控制器。将混沌优化算法引入模糊控制器,采用混沌粗搜索与细搜索相结合的优化方法,对量化因子、比例因子及控制规则进行优化。利用该控制器实现对预焙铝电解槽的温度控制。实验结果表明,该方法能有效地实现模糊器参数和控制规则的在线优化,控制具有鲁棒性好、适应性强、精度高等优点,算法结构简单,容易实现,控制性能优于普通的模糊控制器。     

Smart hanger dynamic modeling and fuzzy controller design

The controlled smart hanger is an indispensable component in the automatic system for garment inspection. Fuzzy logic is chosen for the smart hanger manipulator since it can describe the human behavior remarkably well. In this paper, the dynamic model of the manipulator governing the contact force with garment fabric is first developed. An adaptive fuzzy logic PID control scheme is successfully formulated for the contact force control. Simulation results indicate that the fuzzy PID controller can yield a faster response without overshoot and a smaller error performance as compared to the traditional method based on PID. The stability of the fuzzy PID controller is also demonstrated by computer simulations.     

Uncalibrated Eye-to-Hand Visual Servoing Using Inverse Fuzzy Models

A new uncalibrated eye-to-hand visual servoing based on inverse fuzzy modeling is proposed in this paper. In classical visual servoing, the Jacobian plays a decisive role in the convergence of the controller, as its analytical model depends on the selected image features. This Jacobian must also be inverted online. Fuzzy modeling is applied to obtain an inverse model of the mapping between image feature variations and joint velocities. This approach is independent from the robot's kinematic model or camera calibration and also avoids the necessity of inverting the Jacobian online. An inverse model is identified for the robot workspace, using measurement data of a robotic manipulator. This inverse model is directly used as a controller. The inverse fuzzy control scheme is applied to a robotic manipulator performing visual servoing for random positioning in the robot workspace. The obtained experimental results show the effectiveness of the proposed control scheme. The fuzzy controller can position the robotic manipulator at any point in the workspace with better accuracy than the classic visual servoing approach.     

一种新型的二维PID模糊控制器

通过对常规PID控制器的结构分析,设计出一种新型的二维PID模糊控制器,其结构形式简称为fuzzy PD+ fuzzy ID型.根据模糊规则的图解分析,提出fuzzy ID控制嚣的输入变量(偏差和偏差变化加速率)与输出变量之间的控制结构,并确定两控制器的模糊控制规则的相似性.通过对该PID模糊控制器的结构分析,给出与常...     

一种PID模糊控制器(fuzzy PI+fuzzy ID型)

提出一种二维PID模糊控制器,其结构形式筒称为fuzzy PI+fuzzy ID型.根据fuzzy PI和fuzzy ID控制器的图解说明,确定该fuzzy PI和fuzzy ID控制器的模糊控制规则的相似性.理论分析表明,该PID模糊控制器除具有常规PID性能外,还具有非线性等特点.仿真结果表明,与常规PID和fuzzy PI控制相比性能更优.     

A fuzzy logic based supervisory hierarchical control scheme for real time pressure control

This paper describes a supervisory hierarchical fuzzy controller （SHFC） for regulating pressure in a real-time pilot pressure control system. The input scaling factor tuning of a direct expert controller is made using the error and process input parameters in a closed loop system in order to obtain better controller performance for set-point change and load disturbances. This on-line tuning method reduces operator involvement and enhances the controller performance to a wide operating range. The hierarchical control scheme consists of an intelligent upper level supervisory fuzzy controller and a lower level direct fuzzy controller. The upper level controller provides a mechanism to the main goal of the system and the lower level controller delivers the solutions to a particular situation. The control algorithm for the proposed scheme has been developed and tested using an ARM7 microcontroller-based embedded target board for a nonlinear pressure process having dead time. To demonstrate the effectiveness, the results of the proposed hierarchical controller, fuzzy controller and conventional proportional-integral （PI） controller are analyzed. The results prove that the SHFC performance is better in terms of stability and robustness than the conventional control methods.