AutoCAD系统中实现电子图档模糊查寻的方法

本文讨论了在AutoCAD2000系统中通过图纸标题栏和明细表的少数信息模糊查寻电子图档文件的方法及VBA编程思路，介绍了图档标题栏和明细表数据库的结构，给出了标题栏和明细表信息与图档的路径及文件名之间的查寻关系。     

基于Rough集的磨削参数决策系统

本文介绍了5层模糊神经网络的优缺点，提出了基于Rough集构造模糊神经网络的方法，并应用于多传感器的磨削参数决策系统，达到控制磨削加工质量的目的。     

Nonlinear comminution process modeling based on GA–FNN in the computational comminution system

A new concept named computational comminution is firstly proposed in this paper. Based on information technology, the structure of a computational comminution system (CCS) is built. The study on CCS is very different from the traditional ones for comminution, such as the study based on theoretic models, or the study based on experimental models. As one of the key technologies in CCS, a modeling framework for comminution processes is implemented particularly by employing GA–FNN that can model complex nonlinear processes such as the comminution process of cement by integrating artificial neural networks, fuzzy sets and genetic algorithms. Application results of this modeling method to the Horomill cement comminution process show that the modeling framework discussed in this paper is efficient.     

Fuzzy control of a heat-bending system

This paper discusses the problems associated with detecting displacement phenomena during a NC-controlled heat-bending process. To ensure accurate heat-bending results, it is necessary to control the displacement of a point located at the edge of the plate undergoing heat bending. This is achieved by varying the operating parameters of the numerical control heat-bending (NCHB) machine, e.g. the ratio of Q/V where Q represents the heat input intensity and V the speed of the servomotor driving the heat source (an oxy-acetylene torch in this particular study). It is not easy to accurately predict the plate shape after heating along multiple heating lines. Furthermore, it is difficult to describe the state equation for the dynamic behavior of the displacement since the heat-bending phenomena are described by partial differential equations representing elasto-plastic behavior. In order to predict and control the plate shape after heat bending, this paper proposes a method which combines the inverse method and fuzzy control. Using this method, it is possible to estimate the displacement and, therefore, the plate shape, based upon the values of Q and V, and the position of the heating lines.The quality of the fuzzy inference process depends upon the fuzzy variables chosen. In this paper, a fuzzy rule table is used to control the speed of the NCHB servomotor. The table is based upon fuzzy logic and is used to fine-tune the value of Q/V. The effectiveness of the fuzzy controller is verified by carrying out heat-bending experiments.     

Accurate modeling and prediction of surface roughness by computer vision in turning operations using an adaptive neuro-fuzzy inference system

Modeling and prediction of surface roughness of a workpiece by computer vision in turning operations play an important role in the manufacturing industry. This paper proposes a method using an adaptive neuro-fuzzy inference system (ANFIS) to accurately establish the relationship between the features of surface image and the actual surface roughness, and consequently can effectively predict surface roughness using cutting parameters (cutting speed, feed rate, and depth of cut) and gray level of the surface image. Experimental results show that the proposed ANFIS-based method outperforms the existing polynomial network-based method in terms of modeling and prediction accuracy.     

汽车磁流变半主动悬架控制策略对比研究

在分析磁流变减振器的结构与原理的基础上,建立起较为简化的汽车磁流变减振器数学模型。同时,建立了1/4汽车半主动悬架系统动力学模型及路面谱模型;分别设计了基于磁流变半主动悬架系统的天棚控制器、地棚控制器、PID控制器及模糊控制器,并利用Matlab/Simulink软件进行了仿真试验对比研究。在天棚控制策略下,车身加速度降低16.32%,悬架动挠度降低16.91%;在地棚控制下,车身加速度降低11.29%,悬架动挠度降低2.94%;在PID控制下,车身加速度降低79%,悬架动挠度反而上升73%;在模糊控制下,车身加速度降低21%,悬架动挠度降低12%,轮胎动载荷降低5%。结果表明,模糊控制磁流变半主动悬架有效减小了车身加速度、悬架动挠度、轮胎动载荷,明显地提高了汽车乘坐舒适性和操纵稳定性。     

基于携因素语义距离的定制西服订单聚类方法

为解决定制西服订单多样性和生产高效性的矛盾,利用大规模定制思想,结合定制西服订单商业特征到过程特征的映射建立了多段多级柔性西服物流编码系统,提出一种携因素语义距离订单聚类方法,该方法运用多级层次分析法确定了影响因素的权重,分析了编码属性的值域,将其分为有序属性和无序属性,并概念化得出了语义距离计算方法,采用改进的聚类识别算法对距离设计结构矩阵模型进行分割,实现了订单的聚类。通过实例计算表明了该方法能有效解决西服订单聚类问题。     

Fuzzy logic speed controller optimization approach for induction motor drive using backtracking search algorithm

This paper presents an adaptive fuzzy logic controller (FLC) design technique for controlling an induction motor speed drive using backtracking search algorithm (BSA). This technique avoids the exhaustive traditional trial-and-error procedure for obtaining membership functions (MFs). The generated adaptive MFs are implemented in speed controller design for input and output based on the evaluation results of the fitness function formulated by the BSA. In this paper, the mean absolute error (MAE) of the rotor speed response for three phase induction motor (TIM) is used as a fitness function. An optimal BSA-based FLC (BSAF) fitness function is also employed to tune and minimize the MAE to improve the performance of the TIM in terms of changes in speed and torque. Moreover, the measurement of the real TIM parameters via three practical tests is used for simulation the TIM. Results obtained from the BSAF are compared with those obtained through gravitational search algorithm (GSA) and particle swarm optimization (PSO) to validate the developed controller. Design procedure and accuracy of the develop FLC are illustrated and investigated via simulation tests for TIM in a MATLAB/Simulink environment. Results show that the BSAF controller is better than the GSA and PSO controllers in all tested cases in terms of damping capability, and transient response under different mechanical loads and speeds.     

A machine-vision inspection system for conveying attitudes of columnar objects in packing processes

This paper is a new study on developing a machine vision system for inspecting the conveying attitudes of columnar objects. The presented system consists of image pre-processing, feature extraction, and attitude diagnosis. First of all, in order to segment the objects from the background (namely image pre-processing), an improved maximum between-class variance method is proposed for searching a histogram peak and calculating a threshold value based on the statistics and probability, to solve the problems caused by the non-uniform brightness in a realistic conveyor belt. Then, an open morphological operation is used to eliminate the noise from the binary images produced in the pre-processing step. In the second step (feature extraction), the features of columnar objects are determined by four methods, edge line detecting method, intercepting method, rectangle locating method and feature statistic method. Finally, the diagnosis for the conveying attitudes of columnar objects is based on a hybrid classifier using random forests, and a fuzzy logic. The proposed system is applied to a realistic process for packing industrial explosives. The results of experiments show that the proposed system allows efficient and accurate 100% inspection for the conveying attitude, which ensures the high speed and steady operation of a packing line.     

Visual-based quadrotor control by means of fuzzy cognitive maps

By applying an image-based visual servoing (IBVS) method, the intelligent image-based controlling of a quadrotor type unmanned aerial vehicle (UAV) tracking a moving target is studied in this paper. A fuzzy cognitive map (FCM) is a soft computing method which is classified as a fuzzy neural system and exploits the main aspects of fuzzy logic and neural network systems; so it seems to be a suitable choice for implementing a vision-based intelligent technique. An FCM has been employed in implementing an IBVS scheme on a quadrotor UAV, so that the UAV can track a moving target on the ground. For this purpose, by properly combining the perspective image moments, some features with the desired characteristics for controlling the translational and yaw motions of a UAV have been presented. In designing a vision-based control method for a UAV quadrotor, there are some challenges, including the target mobility and not knowing the height of UAV above the target. Also, no sensor has been installed on the moving object and the changes of its yaw angle are not available. Despite all the stated challenges, the proposed method, which uses an FCM in controlling the translational motion and the yaw rotation of a UAV, adequately enables the quadrotor to follow the moving target. The simulation results for different paths show the satisfactory performance of the designed controller.