Abstract
This paper presents a method to measure DC motor speed using an industrial-rated proximity sensor and NI DAQ card. The industrial proximity sensor captures the positive edge of a wave when a metallic portion on the motor’s wheel segment has occurred. The industrial proximity sensor is interfaced to the NI DAQ which is used as a measurement device and interfacing device between the PC without any additional microcontroller or programmable logic controller. The data is processed by the MATLAB-based NI MAX toolbox. MATLAB programming is used to calculate the speed of a DC motor. The speed is recorded using the conventional setup and compared with the proposed DAQ-based setup.
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References
Fericean S, Droxler R (2007) New noncontacting inductive analog proximity and inductive linear displacement sensors for industrial automation. IEEE Sens J 7(11):1538–1545
Krüger H, Ewald H, Frost A (2009) Multivariate data analysis for accuracy enhancement at the example of an inductive proximity sensor. In: Sensors, IEEE, pp 759–763
Li N, Guo B-l, Wang P (2009) Proximity capacitance sensor design for noncontact liquid detection. In: 2009 2nd international congress on image and signal processing, 2009, pp 1–4
George B, Zangl H, Bretterklieber T, Brasseur G (2010) A combined inductive-capacitive proximity sensor for seat occupancy detection. IEEE Trans Instrum Meas 59(5):1463–1470
Wengang H, Chenghe W, Luncai L, Xiaozong H, Guoqiang W (2011) A signal conditioner IC for inductive proximity sensors. In: 2011 9th IEEE international conference on ASIC, 2011, pp 141–144
Bande V, Pop S, Ciascai I, Pitica D (2012) Real-time sensor acquisition interfacing using MatLAB. In: 2012 IEEE 18th international symposium for design and technology in electronic packaging (SIITME), 2012, pp 189–192
Kumar P, George B, Kumar VJ (2013) A simple signal conditioning scheme for inductive sensors. In: 2013 Seventh international conference on sensing technology (ICST), 2013, pp 512–515
Arshad A, Khan S, Zahirul Alam A, Tasnim R (2014) Automated person tracking using proximity capacitive sensors. In: 2014 IEEE international conference on smart instrumentation, measurement and applications (ICSIMA), 2014, pp 1–4
Valle JMG, GarcÃa JCC, Cadaval ER (2017) Electric vehicle monitoring system by using MATLAB/App designer. In: 2017 international young engineers forum (YEF-ECE), 2017, pp 65–68
Sarma U, Bordoloi PK (2017) Speed control of A DC motor using PLC and PIC microcontroller. In: 2017 14th IEEE India council international conference (INDICON), 2017, pp 1–6
Purcaru D, Gordan IM, Purcaru A (2017) Study, testing and application of proximity sensors for experimental training on measurement systems. In: 2017 18th international carpathian control conference (ICCC), 2017, pp 263–266
Arun VR, Devadhas GG, Shalet KS, Augustine C (2018) Data acquisition and control of multiple stations using HMI and NI USB-6212. In: 2018 international conference on control, power, communication and computing technologies (ICCPCCT), 2018, pp 589–595
Prakosa JA, Samokhvalov DV, Ponce GRV, Al-Mahturi FS (2019) Speed control of brushless DC motor for quad copter drone ground test. In: 2019 IEEE conference of Russian young researchers in electrical and electronic engineering (EIConRus), 2019, pp 644–648
Ertl D, Weber L (2020) A method for real-time sensorless speed control of brushed DC motors in cost constrained systems. In: 2020 2nd global power, energy and communication conference (GPECOM), 2020, pp 152–157
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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Nemade, P., Kumawat, A.K. (2023). Interfacing of Industrial Inductive Proximity Sensor with NI DAQ and Speed Measurement. In: Dhar, S., Do, DT., Sur, S.N., Liu, CM. (eds) Advances in Communication, Devices and Networking. ICCDN 2022. Lecture Notes in Electrical Engineering, vol 1037. Springer, Singapore. https://doi.org/10.1007/978-981-99-1983-3_12
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DOI: https://doi.org/10.1007/978-981-99-1983-3_12
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