Torque Ripple Minimization Using Online Estimation of the Stator Resistances With Consideration of Magnetic Saturation

Xu, Yong; Parspour, Nejila; Vollmer, Ulrich

doi:10.1109/tie.2013.2279378

Cited by 86 publications

(19 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This is because the dq-axis inductances are decreasing due to magnetic saturation and the magnitude of L Δ is decreasing as well. As can be seen from (21), in order to generate the same amount of torque harmonic to minimize T eh when the inductance term is smaller, the magnitudes of the dqaxis harmonic currents should be increased. The results of torque ripple minimization are compared in Fig.…”

Section: Numerical Studies On Torque Ripple Minimization Considermentioning

confidence: 99%

“…Based on the magnetic coenergy model, the torque ripple from the reluctance torque is considered in [11], [19], [20], to extend the torque ripple model for IPMSMs. It is found that the torque ripple model involves the inductance terms that are varying with the load conditions/stator currents due to magnetic saturation [21]- [23]. With the increase of load condition, the saturation level in an IPMSM is getting severer.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Torque Ripple Modeling and Minimization for Interior PMSM Considering Magnetic Saturation

Lai

Guo

Mukherjee

et al. 2018

IEEE Trans. Power Electron.

View full text Add to dashboard Cite

Torque ripple modelling and minimization for interior permanent magnet synchronous machines (IPMSMs) requires accurate information of the inductances which vary nonlinearly due to magnetic saturation. However, existing approaches fail to consider the magnetic saturation and thus their performance is limited under different load conditions. Therefore, this paper improves the torque ripple model by considering magnetic saturation, and employs this model for optimal current design to improve the performance of torque ripple minimization for IPMSMs under different load conditions. At first, numerical studies are performed to analyze and understand how magnetic saturation affects the torque ripples in IPMSMs. Then, a novel torque ripple model for IPMSMs is developed, in which the inductance term is replaced by exploring the machine electrical model. This improved torque ripple model is computation-efficient and it can provide fast and accurate torque ripple prediction. Based on this model, a genetic algorithm (GA) based optimal stator current design approach is proposed to minimize the torque ripple in IPMSMs. The proposed GA-based approach can adaptively optimize the stator current under different load conditions, which can guarantee the robust performance of torque ripple minimization under different saturation levels. The proposed approach is validated through experimental test on a laboratory IPMSM drive system. Index Terms--Geneticalgorithm, magnetic saturation, optimal stator current design, torque ripple modeling and minimization I. NOMENCLATURE t total Total torque T 0 Average torque t h Harmonic torque t cog Cogging torque t ecc Torque induced by cross-coupling effect L d , L q dq-axis inductances L dq , L qd dq-axis mutual inductances . Her research areas include modelling, control and testing of permanent magnet machines and switched reluctance machines. Guodong Feng (M'15) received the B.S. and Ph.D degrees in Engineering

show abstract

Section: Numerical Studies On Torque Ripple Minimization Considermentioning

confidence: 99%

mentioning

confidence: 99%

Torque Ripple Modeling and Minimization for Interior PMSM Considering Magnetic Saturation

Lai

Guo

Mukherjee

et al. 2018

IEEE Trans. Power Electron.

View full text Add to dashboard Cite

show abstract

“…Practically, to avoid stability problem, the ideal resonant controller is usually implemented with a nonideal R controller whose transfer function can be written as [24], [ (18) where ωc is the cut-off frequency that is adopted to widen the frequency bandwidth and reduce the sensitivity to the frequency variations [25]. Expression (18) provides a finite gain, but still relatively high for enforcing a small steady-state error and good tracking for the selected harmonic.…”

Section: A Torque and Flux Harmonic Compensationmentioning

confidence: 99%

“…However, it is common that the electric machines are exposed to various types of asymmetries such as stator flux linkage distortion [1], non-sinusoidal back-EMF [14], [17], asymmetric phase impedance [18], errors in current measurements, and inverter nonlinearity [19], [20]. Such abnormal conditions lead to the rise of negative sequence components and parasitic harmonics at low frequency in the torque, speed, and flux linkage, i.e., 2 nd , 4 th , 6 th , and 12 th [14], [20].…”

Section: Introductionmentioning

confidence: 99%

Reduction of Torque and Flux Ripples in Space Vector Modulation-Based Direct Torque Control of Asymmetric Permanent Magnet Synchronous Machine

Özer¹,

Asker²,

Kürüm

2017

IEEE Trans. Power Electron.

130

View full text Add to dashboard Cite

interests include the design and control of permanent-magnet brushless machines and drives for applications ranging from automotive to renewable energy.Yuan Ren (S'15) received the B.Eng. and M.Sc. degrees in electrical and electronic engineering from Zhejiang University, Hangzhou, China, in 2009 and 2012, respectively. He is currently working toward the Ph.D. degree in the Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, U.K., where he has been focusing on the control of permanentmagnet machines and drives.

show abstract

“…The rotor and stator resistance of induction motor vary with the temperature variation due to motor heating, many researchers develop an algorithm to predict the stator resistance [1] - [3] by using the microcontroller and online estimation but these are unstable in low speed range or the regenerative mode of the electric drives. Estimation of rotor resistance of the induction motor is important because strongly influences the speed of the induction motor.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Rotor and Stator Resistance for Induction Motor Drives using Second order of Sliding Mode Controller

Tak¹,

Kumar²,

Rajpurohit³

2017

JESTR

View full text Add to dashboard Cite

The continues operation of vector controlled induction motor drives faces the problem of the stator and rotor resistance variation due to saturation, skin effect or in temperature variations. These resistance variations affect the controller performance. This paper illustrates about a new closed loop approach for estimation followed by compensation of the stator and rotor resistance of induction motor by using the second order sliding mode controller. The motor resistances estimated by online and the error between the actual and desired state variables of the induction motor track the sliding surface, the proposed method are based on the rigorous Lyapunov stability criteria. The simulation results show that the high frequency variation in the output waveform reduces as compared to the classical sliding mode controller and the mathematical analysis is simple to reduce the complexity faces in the higher order controller. For the estimation of the control variables of proposed algorithm only current measurement is needed and the controller is independent of the unknown parameter variation as the property of the sliding mode controller. The proposed method has been analyzed and verified with the help of Matlab/Simulink.

show abstract

Torque Ripple Minimization Using Online Estimation of the Stator Resistances With Consideration of Magnetic Saturation

Cited by 86 publications

References 22 publications

Torque Ripple Modeling and Minimization for Interior PMSM Considering Magnetic Saturation

Torque Ripple Modeling and Minimization for Interior PMSM Considering Magnetic Saturation

Reduction of Torque and Flux Ripples in Space Vector Modulation-Based Direct Torque Control of Asymmetric Permanent Magnet Synchronous Machine

Estimation of Rotor and Stator Resistance for Induction Motor Drives using Second order of Sliding Mode Controller

Contact Info

Product

Resources

About