|تعداد مشاهده مقاله||2,474,450|
|تعداد دریافت فایل اصل مقاله||1,744,176|
|Journal of Electrical and Computer Engineering Innovations (JECEI)|
|دوره 11، شماره 1، فروردین 2023، صفحه 153-160 اصل مقاله (1.13 M)|
|نوع مقاله: Original Research Paper|
|شناسه دیجیتال (DOI): 10.22061/jecei.2022.8528.522|
|A. Nejadmalayeri* ؛ P. Yousefi؛ M. Safaei|
|Technical and Engineering Faculty, Imam Hossein Comprehensive University (IHU), Tehran, Iran.|
|تاریخ دریافت: 06 خرداد 1401، تاریخ بازنگری: 28 تیر 1401، تاریخ پذیرش: 08 شهریور 1401|
|Background and Objectives: The speed sensor is one of the main components of the control and monitoring systems of rotational machines which is widely used in the aviation industry, railway, and automotive applications. Variable Reluctance Speed sensor (VRS) is a kind of magnetic sensor that has been traditionally employed for many different industrial measurements because of several well-known advantages, such as passive nature, non-contact operations, robustness, low cost, low sensitivity to dirt, and large-signal output.|
Methods: In this paper, a variable reluctance speed sensor is proposed. The design process of the proposed sensor is presented and both the magnetic and electrical models of this sensor are derived by assuming the effect of magnetomotive force caused by eddy current formed on the outer edge of the target gear at high frequencies. As a result, the proposed model can demonstrate the performance of the variable reluctance speed sensor at high frequencies very well.
Results: The proposed VRS is designed and simulated using MATLAB and Ansys Maxwell software to verify the theoretical results is constructed and tested.
Conclusion: In this paper, a variable reluctance speed sensor is proposed and studied. The magnetic and electrical models of the proposed sensor are derived and the output voltage equation has been calculated as a function of the air gap length. The proposed VR sensor is simulated using 2D Finite Element Analysis software to identify the main parameters that influence the sensor output and also to verify the accuracy of the model. According to the simulation results, the output waveform quality will be affected by parameters such as air gap length, target gear material, the self-inductance of the VR sensor, and the load component values. In terms of the electrical model, we were able to simulate the effect of load resistance and capacitance on the sensor output.
|Variable Reluctance Speed Sensor (VRS)؛ Electromagnetic Sensors؛ Instantaneous Angular Speed (IAS)؛ Finite Element (FEM)|
 F. Chaaban, T. Birch, D. Howe, P. Mellor, "Topologies for a permanent magnet generator/speed sensor for the ABS on railway freight vehicles," in Proc. 1991 Fifth International Conference on Electrical Machines and Drives (Conf. Publ. No. 341), IET: 31-35, 1991.
 B. Wang, "Design of teaching platform for ABS wheel speed sensor," J. Phys. Conf. Ser., 2187(1): IOP Publishing: 012004, 2022.
 R. Przysowa, E. Rokicki, "Inductive sensors for blade tip-timing in gas turbines," J. KONBiN, 36(1): 147, 2015.
 D. Heller, I. Sever, C. Schwingshackl, "A method for multi-harmonic vibration analysis of turbomachinery blades using Blade Tip-Timing and clearance sensor waveforms and optimization techniques," Mech. Syst. Sig. Process., 142: 106741, 2020.
 A. Vercoutter, M. Berthillier, A. Talon, B. Burgardt, J. Lardies, "Estimation of turbomachinery blade vibrations from tip-timing data," in Proc. 10th International Conference on Vibrations in Rotating Machinery: 11-13, 2012.
 Y. S. Didosyan, H. Hauser, H. Wolfmayr, J. Nicolics, P. Fulmek, "Magneto-optical rotational speed sensor," Sens. Actuators, A, 106(1-3): 168-171, 2003.
 P. Procházka, F. Vaněk, "New methods of noncontact sensing of blade vibrations and deflections in turbomachinery," IEEE Trans. Instrum. Meas., 63(6): 1583-1592, 2013.
 T. Achour, M. Pietrzak-David, "Service continuity of an IM distributed railway traction with a speed sensor fault," in Proc. the 2011 14th European Conference on Power Electronics and Applications, : 1-8, 2011.
 Y. Maniwa, S. Kitamura, K. Aoyama, M. Matsuyama, "Turbomachinery control by CENTUM VP," Yokogawa Technical Report-English Edition-, 45: 47, 2008.
 M. Dowell, G. Sylvester, "Turbomachinery prognostics and health management via eddy current sensing: current developments," in Proc. 1999 IEEE Aerospace Conference (Cat. No. 99TH8403), 3: 1-9, 1999.
 Y. Li, F. Gu, G. Harris, A. Ball, N. Bennett, K. Travis, "The measurement of instantaneous angular speed," Mech. Syst. Sig. Process., 19(4): 786-805, 2005.
 S. Madhavan, R. Jain, C. Sujatha, A. Sekhar, "Vibration based damage detection of rotor blades in a gas turbine engine," Eng. Fail. Anal., 46: 26-39, 2014.
 A. Darpe, K. Gupta, A. Chawla, "Coupled bending, longitudinal and torsional vibrations of a cracked rotor," J. Sound Vib., 269(1-2): 33-60, 2004.
 S. W. Doebling, C. R. Farrar, M. B. Prime, "A summary review of vibration-based damage identification methods," Shock Vib. Digest, 30(2): 91-105, 1998.
 L. Doliński, M. Krawczuk, "Damage detection in turbine wind blades by vibration based methods," J. Phys. Conf. Ser., 181(1): IOP Publishing: 012086, 2009.
 C. Liu, D. Jiang, "Improved blade tip timing in blade vibration monitoring with torsional vibration of the rotor," J. Phys. Conf. Ser., 364(1): IOP Publishing: 012136, 2012.
 L. Naldi, M. Golebiowski, "New approach to torsional vibration monitoring," in Proc. the 40th Turbomachinery Symposium, Texas A&M University. Turbomachinery Laboratories, 2011.
 F. L. M. Dos Santos, B. Peeters, H. Van Der Auweraer, L. Góes, W. Desmet, "Vibration-based damage detection for a composite helicopter main rotor blade," Case Stud. Mech. Syst. Sig. Process., 3: 22-27, 2016.
 S. Kaul, R. Koul, C. Bhat, I. Kaul, A. Tickoo, "Use of alook-up'table improves the accuracy of a low-cost resolver-based absolute shaft encoder," Meas. Sci. Technol. 8(3): 329, 1997.
 X. Li, G. C. Meijer, "A novel low-cost noncontact resistive potentiometric sensor for the measurement of low speeds," IEEE Trans. Instrum. Meas., 47(3): 776-781, 1998.
 T. Fabian, G. Brasseur, "A robust capacitive angular speed sensor," IEEE Trans. Instrum. Meas., 47(1): 280-284, 1998.
 R. M. Kennel, "Encoders for simultaneous sensing of position and speed in electrical drives with digital control," IEEE Trans. Ind. Appl. 43(6): 1572-1577, 2007.
 M. Nandakumar, S. Ramalingam, S. Nallusamy, S. Srinivasarangan Rangarajan, "Hall-sensor-based position detection for quick reversal of speed control in a BLDC motor drive system for
industrial applications," Electronics, 9(7): 1149, 2020.
 L. Avanesov Yuriy, N. Bukanova Ayna, S. Voronov Alexander, I. Evstifeev Michail, "Optimization of design parameters for depth electromagnetic speed sensor," J. Sci. Tech. Inf. Technol., Mech. Opt., 113(1): 140-146, 2018.
 J. J. Costello, A. C. Pickard, "A novel speed measurement system for turbomachinery," IEEE sens. Lett., 2(4): 1-4, 2018.
 H. Huh, J. S. Park, S. Choi, K. B. Park, S. Q. Zee, "Numerical research on new variable reluctance sensor with fixed permanent magnet for SMART main coolant pump," in Proc. the Korean Nuclear Society Conference, Korean Nuclear Society: 1045-1046, 2005.
 R. A. Croce Jr, I. Giterman, "Development of the Electrical and Magnetic Model of Variable Reluctance Speed Sensors."
 T. Addabbo et al., "Instantaneous rotation speed measurement system based on variable reluctance sensors for torsional vibration monitoring," IEEE Trans. Instrum. Meas., 68(7): 2363-2373, 2018.
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