S7-200PLC在自动生产线中的应用

本文根据步进电机的最佳起动频率的数学模型和最高运行频率的数学模型,介绍基于S7-200PLC控制步进电机运动在自动生产线中的应用。论述了用STEP7 MicroWIN V4.0 SP5中位控向导组态运动包络及运动控制程序设计方法。     

开卷机钢卷直径计算优化算法在带钢纵剪生产线中的应用

在带钢纵剪生产线的电气控制系统中,开卷机的钢卷卷径（以下简称卷径）是一个重要的检测参数,其检测和计算的准确性对系统的控制精度影响很大。本文介绍了一种适用于纵剪生产线开卷卷径的测量与计算方法,并且简要说明了如何通过西门子S7-400PLC来实现。经过实际的生产运行证明,该方法可以提高开卷机的实际卷径精度,增强测控系统的稳定性和可靠性。     

板纸机定量水分控制系统解决方案设计

针对板纸机定量水分控制系统的难点,基于S7-300系列PLC为控制核心,设计了适用于板纸机的整套质量控制（QCS）系统。该系统由绝干浆量控制子系统、热泵供汽子系统、扫描架子系统三部分组成。采用多种算法对定量水分测量进行补偿;采用线性PID/PI、模糊控制、前馈解耦等多种高级过程控制算法,利用子系统间相互通讯,实现了定量水分大闭环控制。目前已在浙江等地多个厂家的板纸机上成功投用。     

基于声发射和神经网络的复合材料冲击定位

为了提高复合材料结构冲击定位的精度和实时性,基于声发射和神经网络技术,提出了复合材料结构冲击定位两步法,以压电陶瓷（PZT）和自制信号采集系统替代商用声发射仪器,实现了一种能够高精度、实时、在线监测冲击的系统。用小波变换求出原点处冲击源传播到各传感器的波达时间差,用这组时间差修正其他位置上的冲击源到达各传感器的波达时间,利用修正后的波达时间,根据四点圆弧定位算法得到冲击源坐标,实现初步定位;将所求出的位置坐标作为神经网络的输入,训练之后的神经网络可以准确预测冲击位置,实现精确定位。在复合材料板上的试验表明：该方法能快速、准确地识别出冲击位置。     

S7—300PLC在横动自动控制系统中的应用

介绍了S7—300可编程控制器的特点、功能和控制系统结构,进而根据生产过程的要求进行了横动自动控制系统的动作程序的设计,通过该系统的核心S7—300可编程控制器和变频器组成的闭环控制系统可自动控制落丝和换桶,顺利实现生产过程的全自动化,提高了生产效率,并针对控制中存在问题提出改进的对策。     

基于S7-200PLC的教室照明智能控制系统

从节约电能的角度出发,针对传统教室照明控制系统的不足以及PLC在控制领域中的广泛应用,提出了一种基于S7—200PLC的教室照明智能控制系统的设计方法并对系统的软件、硬件和程序作了重点介绍。该系统以PLC为核心,由红外探测器和照度计组成控制系统,能达到节能、智能的目的。     

基于BP神经网络自适应PID的负载控制系统

针对常规PID控制器无法满足时变负载测试系统的快速性和精度要求,设计基于改进BP神经网络的自适应PID控制器;利用西门子S7-200 PLC实现PID算法和神经网络算法,成功实现测试系统对工具进行空载、轻载、重载、瞬间加载等测试;并在BOSCH的圆锯变负载测试系统中得到应用。     

Multibody dynamics analysis of the driveshaft coupling of the ball and tripod types of constant velocity joints

The paper proposes a multibody dynamic simulation to numerically evaluate the generated axial force (GAF) and plunging resistant force (PRF) practically related to the shudder and idling vibration of an automobile. A numerical analysis of the drive shaft coupling of a ball joint (BJ) and two plunging type joints, a tripod joint (TJ), and a very low axial force tripod joint (VTJ), are conducted using the commercial program DAFUL. User-defined subroutines of a friction model illustrating the contacted parts of the outboard and inboard joint are subsequently developed to overcome the numerical instability and improve the solution performance. The Coulomb friction effect is applied to describe the contact models of the lubricated parts in the rolling and sliding mechanisms. The numerical results, in accordance with the joint articulation angle variation, are validated with experimentation. The offset between spider and housing is demonstrated to be the critical role in producing the third order component of the axial force that potentially causes the noise and vibration in the vehicle. The VTJ shows an excellent behavior for the shudder when compared with the TJ. In addition, a flexible nonlinear contact analysis coupled with multibody dynamics is also performed to show the dynamic strength characteristics of the rollers, housing, and spider.     

Auto-generation of IEC standard PLC code using t-MPSG

The objective of this paper is to reduce the development time of a PLC (Programmable Logic Controller) by automating the task of code generation. For this purpose, we applied t-MPSG (Timed-Message Based Part State Graph). The t-MPSG is an extended finite state automata used to model and generate an execution module for a real-time shop floor controller system. In our proposed method, t-MPSG is used to model the formal specification of the controller system that can be translated into textual structure. After the verification of the t-MPSG model, it can be used as an input to the plc-builder tool. The plc-builder tool is an extended version of a conventional MPSG simulator. It can be used to translate the textual structure of the t-MPSG into an IEC standard PLC code. Finally, the generated code can be downloaded to a PLC emulator or a PLC device for the purpose of simulation and execution. The similarity in the hierarchical structure of the t-MPSG and the IEC standard PLC program has made it convenient to transform from one form to another. Furthermore, an illustration of the methodology to auto-generate IEC standard PLC code using t-MPSG is explained with a suitable example. Recommended by Editorial Board member Young Soo Suh under the direction of Editor Jae Weon Choi. This work was partially supported by Defense Acquisition Program Administration and Agency for Defense Development under the contract (UD080042AD). Devinder Thapa is a Postdoc Research Fellow in the Department of Industrial & information systems at Ajou University, Korea. He completed his Ph.D. from Ajou University in Industrial and Information Systems Engineering. His area of research is related to manufacturing automation and intelligent decision support systems. Chang Mok Park is a Professor in the Department of Technology & Systems Management at Induk Institute of Technology. He completed his Ph.D. in 2002 from Ajou University in Industrial Engineering. His research interest is related to manufacturing optimization, discrete event system simulation and signal analysis. Sang C. Park is an Associate Professor in the Department of Industrial & Information Systems Engineering at Ajou University. He received his B.S., M.S., and Ph.D. degrees from KAIST in 1994, 1996, and 2000, respectively, all in Industrial Engineering. His research interests include geometric algorithms in CAD/CAM, process planning, engineering knowledge management, and discrete event system simulation. Gi-Nam Wang is the Head and a Professor in the Department of Industrial & Information Systems Engineering at Ajou University, Korea. He completed his Ph.D. in 1992 from Texas A&M University, in Industrial Engineering. He has worked as Visiting Professor at University of Texas at Austin during 2000–2001. His area of research is related to Intelligent Information & manufacturing systems, system integration & automation, e-Business solutions and image processing.     

大型动力系统的降维：基于模态截断的非线性Galerkin方法

为了有效地求解大型动力系统,现已提出了各种降维方法．根据非线性Galerkin方法的求解思路,我们将大型动力系统分解成三个子系统,即”慢子系统”、”适速子系统”和”快子系统”．在此基础上提出了改进的非线性Galerkin方法,即：在数值积分过程中将适速子系统的贡献导入慢子系统．然后,以一个含有立方非线性的5自由度强迫振动系统为例阐明了新方法的有效性．