Peter, Kristophorus and Krybus, Werner and Arko, Arko (2017) Development Of A Simulated Measuring Object For The Evaluation Of Different Sensors. Bachelor thesis, Swiss German University.

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Abstract

Position measurement by using sensors is crucial for many applications especially in industrial and safety-related fields. Therefore, a well-calibrated sensor is essential in all measuring systems. Currently, a laboratory exercise for students taking subject “Messwerterfassung und Umformung” in FH Südwestfalen Soest is not optimized for the purpose. This thesis work is an effort to develop and optimize the laboratory equipment for exercising with different types of position sensors and their comparison. A new position measuring system that consists of an electronic control box, a mechanical positioning system, electronic position sensors, and PC with LabVIEW will be designed and developed. Interconnection between the control box and LabVIEW will be developed using serial connection via USB. The control box is utilizing STM32F429I-DISC1 32-bitARM microcontroller to controls the stepper motor driver of the mechanical positioning system and communicate with LabVIEW on the PC. CooCox IDE is used as the development environment of the control box. Three type of sensors can be exercised and evaluated using the newly developed system, namely position sensors based on linear potentiometer, magnetostrictive, and LVDT. All the measurement process is controllable from the PC and the results are graphically and numerically displayed on a GUI. Experiments and calibration reveals that the accuracy of this system is dependent on the NI DAQ 11-bit resolution. LVDT shows its superiority compared to two other sensors in accuracy with only ±0.05 mm while potentiometer and magnetostrictive sensors are ±0.07 mm and ±0.1 mm respective.

Item Type:	Thesis (Bachelor)
Uncontrolled Keywords:	LabVIEW; STM32F429; CooCox; Position Measurement; Microcontroller
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7872 Sensor Networks
Divisions:	Faculty of Engineering and Information Technology > Department of Mechatronics Engineering
Depositing User:	Astuti Kusumaningrum
Date Deposited:	15 May 2020 09:14
Last Modified:	15 May 2020 09:14
URI:	http://repository.sgu.ac.id/id/eprint/396

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