In this paper, a novel bearingless permanent magnet machine (BPMM) without strong and complex magnetic field coupling, which can limit four degree-of-freedoms (DOFs) independently, is presented for the flywheel energy storage system (FESS). The proposed machine provides suspension force by means of interaction of flux density between the permanent magnet rings and the winding current. Afterwards, the structure parameters have been designed and the model of the proposed machine is derived. Meanwhile, based on the conventional cross feedback control, the modified control scheme with compensation for cross channels is illustrated. Additionally, combining with the machine model and modified cross feedback controller, the simulation is built to demonstrate the effectiveness. The results show the smaller fluctuation in steady state, fast response with disturbance and less impact on undisturbed channels by employing the modified control.
SunX.ChenL. and YangZ., Overview of bearingless permanent magnet synchronous motors, IEEE Transactions on Industrial Electronics60(12) (2013), 5528–5538.
2.
FangJ. and RenY., High-precision control for a single-gimbal magnetically suspended control moment gyro based on inverse system method, IEEE Transaction on Industry Electronics58(9) (2011), 4331–4342.
3.
ZhuK.XiaoY. and RajendraA., Optimal control of the magnetic bearings for a flywheel energy storage system, Mechatronics19(8) (2009), 1221–1235.
4.
LiawC.HuK. and WangJ., Development and operation control of a switched-reluctance motor driven flywheel, IEEE Transactions on Power Electronics (2018), 1.
5.
SunX.ChenL.JiangH.YangZ.ChenJ. and ZhangW., High-performance control for a bearingless permanent magnet synchronous motor using neural network inverse scheme plus internal model controllers, IEEE Transactions on Industrial Electronics63(6) (2016), 3479–3488.
6.
SunX.SuB.ChenL.YangZ.ChenJ. and ZhangW., Nonlinear flux linkage modeling of a bearingless permanent magnet synchronous motor based on AW-LSSVM regression algorithm, International Journal of Applied Electromagnetics and Mechanics51(2) (2016), 151–159.
7.
DingQ.NiT. and WangX., Optimal winding configuration of bearingless flux-switching permanent magnet motor with stacked structure, IEEE Transactions on Energy Conversion33(1) (2018), 78–86.
8.
BuW.ChengX.HeF.QiaoY.ZhangH. and XuX., Inverse system modeling and decoupling control of bearingless induction motor based on air gap flux orientation, International Journal of Applied Electromagnetics and Mechanics53(3) (2017), 567–577.
9.
SunX.XueZ.ZhuJ.GuoY.YangZ. and ChenL., Suspension force modeling for a bearingless permanent magnet synchronous motor using maxwell stress tensor method, IEEE Transactions on Applied. Superconductivity26(7) (2016), 1–5.
10.
OuyangH.LiuF.ZhangG. and MeiL., Vibration suppression for rotor system of magnetic suspended wind turbines using cross-feedback-based sliding mode control, IEEE/SICE International Symposium on System Integration (2015), 112–115.
11.
SunX.SuB.ChenL.YangZ.YangY.QiaoW. and HanS., A high-performance control scheme for reluctance type bearingless motors, International Journal of Applied Electromagnetics and Mechanics53(3) (2017), 537–549.
12.
SivriogluS. and NonamiK., LMI approach to gain scheduled H ∞, control beyond PID control for gyroscopic rotor-magnetic bearing system, Proceedings of IEEE Conf on Decision and Control (1996).
13.
SunX.SuB.WangS.YangZ.LeiG.ZhuJ. and GuoY., Performance analysis of suspension force and torque in an IBPMSM with V-shape PMs for flywheel batteries, IEEE Transactions on Magnetics54(11) (2018), Art. no. 8105504.
14.
CadeI.KeoghP. and SahinkayaM., Fault identification in rotor/magnetic bearing systems using discrete time wavelet coefficients, IEEE/ASME Transactions on Mechatronics10(6) (2005), 648–657.
15.
BuW.ZhangX.QiaoY.LiZ. and ZhangH., Equivalent two-phase mutual inductance model and measurement algorithm of three-phase bearingless motor, Transactions of the Institute of Measurement and Control40(2) (2018), 630–639.
16.
MatsuzakiT.TakemotoM. and OgasawaraS., Operational characteristics of an IPM-type bearingless motor with 2-pole motor windings and 4-pole suspension windings, IEEE Transactions on Industry Applications53(6) (2017), 5383–5392.
17.
SunX.SuB.ChenL.YangZ.XuX. and ShiZ., Precise control of a four degree-of-freedom permanent magnet biased active magnetic bearing system in a magnetically suspended direct-driven spindle using neural network inverse scheme, Mechanical Systems and Signal Processing88 (2017), 36–48.
18.
LeiG.WangT.ZhuJ.GuoY. and WangS., System level design optimization method for electrical drive systems: Deterministic approach, IEEE Transactions on Industry Electronics61(12) (2014), 6591–6602.
19.
BuW.HeF.LuC.LiZ. and XiaoJ., Unbalanced vibration control strategy of bearingless induction motor based on inverse system decoupling, International Journal of Applied Electromagnetics and Mechanics51(4) (2016), 455–469.
20.
SunX.ShenY.WangS.LeiG.YangZ. and HanS., Core losses analysis of a novel 16/10 segmented rotor switched reluctance BSG motor for HEVs using nonlinear lumped parameter equivalent circuit model, IEEE/ASME Transactions on Mechatronics23(2) (2011), 747–757.
21.
SuzukiY., Acceleration feedforward control for active magnetic bearing systems excited by ground motion, IEEE Proceedings - Control Theory and Applications145(2) (2002), 113–118.
22.
MizunoT.TakasakiM. and IshinoY., Controllability of gyroscopic system from a viewpoint of parallel magnetic suspension, in: 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, Japan, 2017, pp. 19–22.
23.
BuW.HuangY.LuC.ZhangH. and ShiH., Unbalanced displacement LMS extraction algorithm and vibration control of a bearingless induction motor, International Journal of Applied Electromagnetics and Mechanics56(1) (2018), 35–47.
24.
SunX.ShiZ.ChenL. and YangZ., Internal model control for a bearingless permanent magnet synchronous machine based on inverse system method, IEEE Transactions on Energy Conversion31(4) (2016), 1539–1548.
25.
LiuX.DongJ.DuY.ShiK. and MoL., Design and static performance analysis of a novel axial hybrid magnetic bearing, IEEE Transactions on Magnetics50(11) (2014), 1–4.
26.
FangJ.LeY.SunJ. and WangK., Analysis and design of passive magnetic bearing and damping system for high-speed compressor, IEEE Transactions on Magnetics48(9) (2012), 2528–2537.
27.
ZadH.KhanT. and LazogluI., Design and adaptive sliding mode control of hybrid magnetic bearings, IEEE Transactions on Industrial Electronics65(3) (2018), 2537–2547.
28.
KandilM.DuboisM.BakayL. and TrovãoJ., Application of second-order sliding mode concepts to active magnetic bearings, IEEE Transactions on Industrial Electronics65(1) (2018), 855–864.
29.
BuW.LuC.ZuC.ZhangH. and XiaoJ., Inverse system decoupling control strategy of BLIM based on stator flux orientation, International Journal of Applied Electromagnetics and Mechanics48(4) (2015), 469–480.
30.
ShiZ.SunX.CaiY.YangZ.LeiG.GuoY. and ZhuJ., Torque analysis and dynamic performance improvement of A PMSM for EVs by skew angle optimization, IEEE Transactions on Applied Superconductivity, to be published,10.1109/TASC.2018.2882419.
31.
BernardN.AhmedH. and MultonB., Design and modeling of a slotless and homopolar axial-field synchronous machine for a flywheel accumulator, IEEE Transactions on Industry Applications40(3) (2004), 755–762.
32.
HanB.ZhengS. and QianY., Integral design and analysis of passive magnetic bearing and active radial magnetic bearing for agile satellite application, IEEE Transactions on Magnetics48(6) (2011), 1959–1966.
33.
WangK.WangD.LinH.ShenY.ZhangX. and YangH., Analytical modeling of permanent magnet biased axial magnetic bearing with multiple air gaps, IEEE Transactions on Magnetics50(11) (2014), 1–4.
34.
XuG.CaiY.RenY.XinC.FanY. and HuD., Design and analysis of lorentz force-type magnetic bearing based on high precision and low power consumption, Journal of Magnetics22(2) (2017), 203–213.
35.
WangX.FuJ.ZhaoX. and HouL., Structural design and performance analysis of a new type of axial magnetic bearings with multi-ring redundant structure in circular direction, International Journal of Applied Electromagnetics and Mechanics55(3) (2017), 373–390.
36.
FuJ.WangX.HouL. and PanA., Structure study and performance analysis on the new laminated core type axial redundant magnetic bearing, International Journal of Applied Electromagnetics and Mechanics58(1) (2018), 101–120.
37.
ChengX.WangB.ChenQ.ZhangL.LiuH. and SongS., A unified design and the current ripple characteristic analysis of digital switching power amplifier in active magnetic-levitated bearings, International Journal of Applied Electromagnetics and Mechanics55(3) 391–407.
38.
LeY.FangJ.HanB. and ZhangY., Dynamic circuit model of a radial magnetic bearing with permanent magnet bias and laminated cores, International Journal of Applied Electromagnetics and Mechanics46(1) (2014), 101–120.
39.
MatsuokaA.SuminoM.UenoS. and TakedaT., Development of a high-speed motor at extremely low temperatures with an axial self-bearing motor and a superconducting magnetic bearing, International Journal of Applied Electromagnetics and Mechanics45(1-4) (2014), 859–865.
40.
ZhangC.TsengK.NguyenT. and ZhaoG., Stiffness analysis and levitation force control of active magnetic bearing for a partially-self-bearing flywheel system, International Journal of Applied Electromagnetics and Mechanics36(3) (2011), 229–242.
41.
DuanN.XuW.WangS. and ZhuJ., Current distribution calculation of superconducting layer in HTS cable considering magnetic hysteresis by using XFEM, IEEE Transactions on Magnetics54(3) (2018), Art. no.: 800804.
42.
SunX.ChenL.YangZ. and ZhuH., Speed-sensorless vector control of a bearingless induction motor with artificial neural network inverse speed observer, IEEE/ASME Transactions on Mechatronics18(4) (2013), 1357–1366.
