Abstract
The parameter adaptation of digital PI regulator of synchronous motor has great influence on the production and use of current electric and mechanical equipment. In order to optimize the effect of synchronous electric digital regulator, a method of parameter adaptive determination of digital PI regulator of synchronous motor is proposed, which improves the process of setting parameters in continuous domain. The adaptive parameters of digital PI regulator of synchronous motor are collected and analyzed by discretization method. The sampling time and phase angle lag parameters caused by zero order maintainer are eliminated. The mathematical model of parameters of digital PI regulator of synchronous motor is established, and the discrete model diagram of closed-loop synchronous motor is obtained. The time domain performance index is converted into the open loop frequency domain characteristic quantity by engineering experience and the PI regulator parameters are calculated analytically in the domain. Simulation results show that the adaptive determination method of digital PI regulator of synchronous motor meets the design requirements. The overshoot is less than 5% and the adjustment time is about 1.92 s. The research shows that the method can provide reference for the parameter setting of digital PI regulator of synchronous motor.
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References
Ashok, R.B., Kumar, B.M.: Comparative analysis of BLDC motor for different control topology. Energy Procedia 117(11), 314–320 (2017)
Roy, R., Prabhakar, K.K., Kumar, P.: Core-loss calculation in different parts of induction motor. IET Electr. Power Appl. 11(9), 1664–1674 (2017)
Martinez, J., Belahcen, A., Muetze, A.: Analysis of the vibration magnitude of an induction motor with different numbers of broken bars. IEEE Trans. Ind. Appl. 53(3), 2711–2720 (2017)
Tutaev, G.M., Bobrov, M.A., Gulyaev, I.V.: Evaluation of the energy characteristics of an asynchronous inverter-fed induction motor at different approximations of the magnetization curve. Russ. Electr. Eng. 88(6), 321–325 (2017)
Morosato, F., Traina, F., Cristofolini, L.: Effect of different motor tasks on hip cup primary stability and on the strains in the periacetabular bone: an in vitro study. Clin. Biomech. 70(11), 137–145 (2019)
Jianqiu, L.: Construction of real-time interactive mode-based online course live broadcast teaching platform for physical training. Int. J. Emerg. Technol. Learn. (iJET) 13(06), 73 (2018)
Fu, W., Liu, S., Srivastava, G.: Optimization of big data scheduling in social networks. Entropy 21(9), 902 (2019)
Liu, S., Bai, W., Zeng, N., et al.: A fast fractal based compression for MRI images. IEEE Access 7(12), 62412–62420 (2019)
Liu, Q., Chen, Z.Y., Yang, S.F., et al.: Magnetic properties of pure iron with respect to different C/Si ratios and grain sizes. Mater. Sci. Forum 913(10), 653–660 (2018)
Nguyen, M.Q., Dario, S., Malec, D., et al.: Environmental assessment and dielectric performances of the secondary electrical insulation in low voltage motors impregnated by different techniques. Engineering 9(10), 860–873 (2017)
Kumar, H., Tengli, P.N., Mishra, V.K., et al.: Synthesis and catalytic activity of Cu–Cr–O–TiO 2 composites for the thermal decomposition of ammonium per-chlorate: enhanced decomposition rate of fuel for solid rocket motors. RSC Adv. 7(21), 12486–12495 (2017)
Cao, R., Lu, M.: Investigation of high temperature superconducting linear flux-switching motors with different secondary structures. IEEE Trans. Appl. Superconduct. 30(4), 1–5 (2020)
Chen, Y., Cai, T., Zhu, X., et al.: Analysis and design of a new type of less-rare-earth hybrid-magnet motor with different rotor topologies. IEEE Trans. Appl. Superconduct. (2020)
Huthaifa, F., Lorenz, R.D., Eigo, T., et al.: Investigation of different servo motor designs for servo cycle operations and loss minimizing control performance. IEEE Trans. Ind. Appl. 54(6), 5791–5801 (2018)
Han, S., Liu, C., Sun, X., et al.: Investigation of static characteristics in six-phase switched reluctance motors under different winding connections. IEEE Access 7(11), 71174–71184 (2019)
Terao, Y., Akada, W., Ohsaki, H.: Design and comparison of interior permanent magnet synchronous motors using different bulk superconductor arrangements. IEEE Trans. Appl. Superconduct. 29(5), 1–5 (2019)
Sun, X., Diao, K., Lei, G., et al.: Study on segmented-rotor switched reluctance motors with different rotor pole numbers for BSG system of hybrid electric vehicles. IEEE Trans. Veh. Technol. 68(6), 5537–5547 (2019)
Huang, X., Qian, Z., Tan, Q., et al.: Suppressing the thrust ripple of the permanent magnet linear synchronous motors with different pole structures by setting the modular primary structures differently. IEEE Trans. Energy Convers. 33(4), 1815–1824 (2018)
Jun, C.S., Kwon, B.I.: Performance comparison of a spoke-type PM motor with different permanent magnet shapes and the same magnet volume. IET Electr. Power Appl. 11(7), 1196–1204 (2017)
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Hunan Natural Science Foundation Project (2020JJ4558, 2018JJ2367, 2020JJ5519), Hunan Science and Technology Department Science and Technology Project (2016 TP1023).
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Yin, Jt., Liu, L., Tang, J., Peng, Zh., Li, H. (2021). Adaptive Parameter Determination Method of Synchronous Motor Digital PI Regulator. In: Fu, W., Liu, S., Dai, J. (eds) e-Learning, e-Education, and Online Training. eLEOT 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 390. Springer, Cham. https://doi.org/10.1007/978-3-030-84386-1_44
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DOI: https://doi.org/10.1007/978-3-030-84386-1_44
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