In this paper, loss minimization control method of IPMSM based on approximate calculation is proposed. Firstly, according to the IPMSM mathematical model considering the equivalent iron loss, the loss minimization extreme value is solved by Lagrange equation, and the electromagnetic current variable is eliminated by the equivalent transformation method. Secondly, the relation of dq axis current is obtained by defining the virtual current. Considering the existence of the square term in the relation, a new approximate calculation method is proposed to eliminate the square term of the given current and obtain the dq axis current with the minimum loss. Finally, in order to further prove the performance of the proposed method, control, virtual current control method and torque approximation control method are analyzed and compared in MATLAB/SIMULINK. Simulation results show that the proposed control method is more perfect than the traditional virtual current method and has higher accuracy than the traditional approximate calculation method. Compared with the traditional three control methods, the total loss is reduced by 7.44% at least under rated working conditions.
GongCHuYLiW, et al. Hybrid DC-bus capacitor discharge strategy using internal windings and external bleeder for surface-mounted PMSM-based EV powertrains in emergency. IEEE Trans Ind Electron2021; 68(3): 1905–1915.
2.
YangQMaoKZhengS, et al. Position Sensorless Drive with online parameters estimation for magnetic suspension centrifugal compressor. IEEE Trans Power Electron2023; 38(8): 9384–9394.
3.
WangLTangZZhangP, et al. Double extended sliding-mode observer-based synchronous estimation of total inertia and load torque for PMSM-driven spindle-tool systems. IEEE Trans Ind Inform2023; 19(7): 8496–8507.
4.
ZhaoMLiuGChenQ, et al. Effective position error compensation in sensorless control based on unified model of SPMSM and IPMSM. IEEE Trans Ind Inform2023; 19(5): 6750–6761.
5.
FangHLiDQuR, et al. Rotor design and eddy-current loss suppression for high-speed machines with a solid-PM rotor. IEEE Trans Ind Appl2019; 55(1): 448–457.
6.
NiRXuDWangG, et al. Maximum efficiency pPer mpere control of permanent-magnet synchronous machines. IEEE Trans Ind Electron2015; 62(4): 2135–2143.
7.
HuYZhuSXuL, et al. Reduction of torque ripple and rotor eddy current losses by closed slots design in a high-speed PMSM for EHA applications. IEEE Trans Magn2022; 58(2): 1–6.
8.
TongWSunLHouM, et al. Analytical modeling for rotor eddy current loss of a surface-mounted PMSM with both non-ferromagnetic cConductive etaining sleeve and shielding cylinder. IEEE Trans Energy Convers2022; 37(2): 832–843.
9.
WangYMaJLiuC, et al. Reduction of magnet eddy current loss in PMSM by using partial magnet segment method. IEEE Trans Magn2019; 55(7): 1–5.
10.
ShenJ-XHaoHJinM-J, et al. Reduction of rotor eddy current loss in high speed PM brushless machines by grooving retaining sleeve. IEEE Trans Magn2013; 49(7): 3973–3976.
11.
JunH-WLeeJ-WYoonG-H, et al. Optimal design of the PMSM retaining plate with 3-D barrier structure and eddy-current loss-reduction effect. IEEE Trans Ind Electron2018; 65(2): 1808–1818.
12.
LiKWangY. Maximum torque per ampere (MTPA) control for IPMSM drives using signal injection and an MTPA control law. IEEE Trans Ind Inform2019; 15(10): 5588–5598.
13.
CaoMEgashiraJKanekoK. High efficiency control of IPMSM for electric motorcycles. In: 2009 IEEE 6th international power electronics and motion control conference, Wuhan, China, 2009, pp.1893–1897.
14.
WangGLiZZhangG, et al. Quadrature PLL-based high-order sliding-mode observer for IPMSM sensorless control with online MTPA control strategy. IEEE Trans Energy Convers2013; 28(1): 214–224.
15.
LiKWangY. Maximum torque per ampere (MTPA) control for IPMSM drives based on a variable-equivalent-parameter MTPA control law. IEEE Trans Power Electron2019; 34(7): 7092–7102.
16.
JeyashanthiJSanthiM. Improved efficiency of direct torque controlled induction motor drive by golden section method. Rev Fac Ing Univ Antioq2019; 91: 31–42.
17.
BalamuraliAFengGKunduA, et al. Noninvasive and improved torque and efficiency calculation toward current advance angle determination for maximum efficiency control of PMSM. IEEE Trans Transp Electrification2020; 6(1): 28–40.
18.
ChenZLiWShuX, et al. Operation efficiency optimization for permanent magnet synchronous motor based on improved particle swarm optimization. IEEE Access2021; 9: 777–788.
19.
HangJWuHDingS, et al. Improved loss minimization control for IPMSM using equivalent conversion method. IEEE Trans Power Electron2021; 36(2): 1931–1940.
20.
ZhangYQiR. High-efficiency drive for IPMSM considering copper loss and iron Loss. IEEJ Trans Electr Electron Eng2021; 16: 1136–1144.
21.
XinghuaZPengfeiC. Efficiency optimization of direct torque controlled interior permanent magnet synchronous motor considering iron losses. In: 2016 19th international conference on electrical machines and systems (ICEMS), Chiba, Japan, 2016, pp.1–5.
22.
ShinoharaAInoueYMorimotoS, et al. Direct calculation method of reference flux linkage for maximum torque per ampere control in DTC-Based IPMSM drives. IEEE Trans Power Electron2017; 32(3): 2114–2122.
23.
ZhaoKLiuWZhouR, et al. Model-free fast integral terminal sliding-mode control method based on improved fast terminal sliding-mode observer for PMSM with unknown disturbances. ISA Trans2023; 143: 572–581.
24.
LinXZhangBFangS, et al. Adaptive generalized super twisting sliding mode control for PMSMs with filtered high-gain observer. ISA Trans2023; 138: 639–649.
25.
YuKWangZ. Online decoupled multi-parameter identification of dual three-phase IPMSM under position-offset and HF signal injection. IEEE Trans Ind Electron2024; 71(4): 3429–3440.
26.
DangDQRafaqMSChoiHH, et al. Online parameter estimation technique for adaptive control applications of interior PM synchronous motor drives. IEEE Trans Ind Electron2016; 63(3): 1438–1449.
