An Integrated Computer-Aided Data Acquisition and Control System

Author(s):  
Mohammad Khosrowjerdi ◽  
James Aflaki

PC-based data acquisition systems are used in a wide variety of applications. In laboratories, in field services and in manufacturing facilities, these systems act as general-purpose measurement and control tools well suited for measuring voltage signals. Teaching and learning experiences may be enhanced by integrating new-technologies in the engineering curriculum, particularly in experimental-type courses. By installing plug-in data acquisition boards and signal-conditioning hardware, and appropriate software, the general-purpose computers become enormously flexible virtual-instruments with data acquisition and analysis capability. This paper describes a Computer-Aided Testing System which uses a commercially available A/D board to offer users a wide array of measurement and control capabilities. It can be used for making repeated high speed measurement, controlling motors or teaching data acquisition.

2011 ◽  
Vol 328-330 ◽  
pp. 542-546
Author(s):  
Chang Zheng Li ◽  
Yong Lei

Engine running plays very important roles in a turbo-shaft engine production and maintenance. Traditional computer aided testing is just work as a data acquisition system to measure parameters and control some devices. In this paper, a CAT system is realized based on VXI and virtual instrument technology, which also communicate with the PLC, the ECU and the dynamometer, to provide a centralized information system for a turbo-shaft engine running. Multi-functions are realized to assistant users before, during and after experiments.


2014 ◽  
Vol 596 ◽  
pp. 766-770
Author(s):  
Qi Li

In the large-capacity, high-speed and real-time data acquisition and transmission, PXI bus have a widely application in the field of data acquisition and transmission. This paper introduces the design and implement of simplified state machine in the measurement and control system based on PXI bus. The results of test indicate that the technology is practical and valuable.


2008 ◽  
Vol 19 (9) ◽  
pp. 094012 ◽  
Author(s):  
B T Hjertaker ◽  
R Maad ◽  
E Schuster ◽  
O A Almås ◽  
G A Johansen

2011 ◽  
Vol 335-336 ◽  
pp. 372-375 ◽  
Author(s):  
Xin Hu Xu ◽  
Gui Qin Li ◽  
Qing Guo ◽  
Feng Lin ◽  
Xin Cai

This paper will give a solution of measurement and control system based on FPGA embedded system for the Plastic Material Dynamic High-speed Tensile Machine (PMDHTM) with 1-100s-1strain rate range. Using sub-modules design of Nios II soft-wore and SOPC to build measurement and control system. The state machine algorithm and servo drive device are applied to accomplish precise state control of the linear shaft motor. Collecting the stress data online and non-contacting strain measurement is adopted. The test result can well meet the linear motor control response demand below the 5Hz frequency. Compared with other control based on SCM, DSP and so on, it supplies an innovation way for the PMDHTM control.


Author(s):  
Volkhard Klinger

Simulation and modelling are powerful methods in computer aided therapy, rehabilitation monitoring, identification and control. The smart modular biosignal acquisition and identification system (SMoBAICS) provides methods and techniques to acquire electromyogram (EMG)- and electroneurogram (ENG)-based data for the evaluation and identification of biosignals. In this paper the author focuses on the development, integration and verification of platform technologies which support this entire data processing. Simulation and verification approaches are integrated to evaluate causal relationships between physiological and bioinformatical processes. Based on this we are stepping up of efforts to develop substitute methods and computer-aided simulation models with the objective of reducing animal testing. This work continues the former work about system identification and biosignal acquisition and verification systems presented in (Bohlmann et al., 2010), (Klinger and Klauke, 2013), (Klinger, 2014). This paper focuses on the next generation of an embedded data acquisition and identification system and its flexible platform architecture. Different application scenarios are shown to illustrate the system in different application fields. The author presents results of the enhanced closed-loop verification approach and of the signal quality using the Cuff-electrode-based ENG-data acquisition system.


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