Home Technology Influence of Moment of Inertia on Dynamic Characteristics of Permanent Magnet Brushless DC Motor
Article
Licensed
Unlicensed Requires Authentication

Influence of Moment of Inertia on Dynamic Characteristics of Permanent Magnet Brushless DC Motor

  • Qiu Hongbo , Yu Wenfei EMAIL logo and Yang Cunxiang
Published/Copyright: January 26, 2018

Abstract

The mechanical performance of permanent magnet brushless DC motor (BLDCM) servo system is affected by the moment of inertia. In order to obtain the load moment of inertia effect on the motor dynamic performance, based on the time stepping finite element method (FEM), a two-dimensional finite element model of the BLDCM is established, and the motor drive circuit is built. The motor running state under different load moment of inertia is simulated. The motor dynamic characteristics and the output performance are studied. The influence of the moment of inertia on the starting characteristics and the load sudden change characteristics is obtained. The influence mechanism of the load moment of inertia on the motor output speed and torque is revealed. Finally, a prototype platform is built to test the motor no-load EMF. The correctness of the model is verified and the correctness of the research is proved indirectly. This research is of great significance to the research of the BLDCM servo control system.

Funding

This work was supported in part by the National Natural Science Foundation of China under Grant 51507156, in part by the University Key Scientific Research Programs of Henan province under Grant 17A470005, in part by the Doctoral Program of Zhengzhou University of Light Industry under Grant 2014BSJJ042, in part by the Major Science and Technology Special Projects of Henan Province under Grant 161100211600, in part by the Graduate Scientific and Technology Innovation Foundation of Zhengzhou University of Light Industry under Grant 2016001, in part by the Scientific and Technological Projects of Zhengzhou under Grant 20150442, and in part by the Foundation for Key Teacher of Zhengzhou University of Light Industry.

References

[1] Salehifar, M., Salehi, Arashloo R., Moreno-Eguilaz, M., et al. Observer-based open transistor fault diagnosis and fault-tolerant control of five-phase permanent magnet motor drive for application in electric vehicles. Power Electron Iet. 2015;8:76–87.10.1049/iet-pel.2013.0949Search in Google Scholar

[2] Liu, Z., Tian, G., Cao, W., et al. Non-invasive load monitoring of induction motor drives using magnetic flux sensors. IET Power Electron. 2017;10:189–95.10.1049/iet-pel.2016.0304Search in Google Scholar

[3] Choi JW, Lee SC, Kim HG. Inertia identification algorithm for high-performance speed control of electric motors. IEE Proceedings – Electr Power Appl. 2006;153:379–86.10.1049/ip-epa:20050360Search in Google Scholar

[4] Andoh F. Moment of inertia identification using the time average of the product of torque reference input and motor position. IEEE Trans Power Electron. 2007;22:2534–42.10.1109/TPEL.2007.909309Search in Google Scholar

[5] Fedor T, Vittek J, Sindler P. Influence of variable moment of inertia in robot servo motor control. In: 2014 ELEKTRO, 2014:165–6910.1109/ELEKTRO.2014.6847894Search in Google Scholar

[6] Liu, B., Nishikata, S., Tatsuta, F., et al. A wind turbine simulator considering various moments of inertia using a DC motor. In: International symposium on power electronics, electrical drives, automation and motion. IEEE, 2014:866–7010.1109/SPEEDAM.2014.6872088Search in Google Scholar

[7] Aziz M,AA, Taib MN, Adnan R. The significance of prioritized weight in WTRI based fitness function on PSO algorithm under different range of moment of inertia of a DC motor. In: 2016 IEEE Conference on Systems, Process and Control (ICSPC). IEEE, 2016:242–4710.1109/SPC.2016.7920737Search in Google Scholar

[8] Schulze S, Teichgräber C, Berger M. Motion design considering moment of inertia. Mech Mach Sci. 2017;43:203–10.10.1007/978-3-319-44156-6_21Search in Google Scholar

[9] Qiu, H., Duan, Q., Yao, L., et al. Analytical analysis of sleeve permeability for output performance of high speed permanent magnet generators driven by micro gas turbines. Appl Math Model. 2016;40:9017–28.10.1016/j.apm.2016.05.050Search in Google Scholar

[10] Weili L, Jing W, Xiaochen Z, Baoquan K. Loss calculation and thermal simulation analysis of high-speed PM synchronous generators with rotor topology. In: 2010 International conference on computer application and system modeling (ICCASM 2010), 2010:612–1610.1109/ICCASM.2010.5622209Search in Google Scholar

[11] Xia C, Li X. Z-source inverter-based approach to the zero-crossing point detection of back EMF for sensorless brushless DC motor. IEEE Trans Power Electron. 2015;30(14):88–98.10.1109/TPEL.2014.2317708Search in Google Scholar

[12] Tao Y, Quanfeng L, Shitao W, Zhengyu L. Research on torque ripple suppression of position sensorless brushless DC motor during commutation. In: 2011 IEEE 8th international conference on power electronics and ECCE Asia (ICPE & ECCE 2011), 2011:1148–5210.1109/ICPE.2011.5944693Search in Google Scholar

[13] Du Z, Lipo TA. Efficient utilization of rare earth permanent magnet materials and torque ripple reduction in interior permanent magnet machines. IEEE Trans Ind Appl. 2017;53:3485–95.10.1109/TIA.2017.2687879Search in Google Scholar

Received: 2017-8-12
Accepted: 2018-1-12
Published Online: 2018-1-26

© 2018 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 2.3.2026 from https://www.degruyterbrill.com/document/doi/10.1515/ijeeps-2017-0163/html
Scroll to top button