Optimal Control Strategy for High Performance EV Interior Permanent Magnet Synchronous Motor
The controllable electrical loss which consists of the
copper loss and iron loss can be minimized by the optimal control of
the armature current vector. The control algorithm of current vector
minimizing the electrical loss is proposed and the optimal current
vector can be decided according to the operating speed and the load
conditions. The proposed control algorithm is applied to the
experimental PM motor drive system and this paper presents a
modern approach of speed control for permanent magnet
synchronous motor (PMSM) applied for Electric Vehicle using a
nonlinear control. The regulation algorithms are based on the
feedback linearization technique. The direct component of the current
is controlled to be zero which insures the maximum torque operation.
The near unity power factor operation is also achieved. More over,
among EV-s motor electric propulsion features, the energy efficiency
is a basic characteristic that is influenced by vehicle dynamics and
system architecture. For this reason, the EV dynamics are taken into
account.
[1] John M. Miller, Propulsion systems for hybrid vehicles, The Institution
of Electrical Engineers, 2004.
[2] Mohammad S. Islam, S. Mir, T. Sebastian, and S. Underwood, "Design
consideration of sinusoidally excited permanent magnet machines for
low torque ripple applications," in Conf. Rec. IEEE-IAS Annu. Meetings,
2004, CD-ROM.
[3] M. Sanada, K. Hiramoto, S. Morimoto, and Y. Takeda, "Torque ripple
improvement for synchronous reluctance motor using an asymmetric
flux barrier arrangement," IEEE Trans. Ind. Applicat., vol. 40, no. 4, pp.
1076-1082, July/August 2004.
[4] S. Morimoto, Y. Tong, Y. Takeda, and T. Hirasa, "Loss minimization
control of permanent magnet synchronous motor drives," IEEE Trans.
Ind. Electron., vol. 41, no. 5, pp. 511-517, Oct. 1994.
[5] J. J. Lee, Y. K. Kim, H. Nam, K. H. Ha, J. P. Hong, and D. H. Hwang,
"Loss distribution of three phase induction motor fed by pulsewidthmodulated
inverter," IEEE Trans. Magn., vol. 40, no. 2, pp. 762-765,
Mar. 2004.
[6] S. Morimoto, Y. Takeda, and T. Hirasa, "Current phase control methods
for permanent magnet synchronous motors," IEEE Trans. Power
Electron., vol. 5, no. 2, pp. 133-138, April 1990.
[7] S. Morimoto, and Y. Takeda, "Machine parameters and performance of
interior permanent magnet synchronous motors with different permanent
magnet volume," Elec. Eng. in Japan, vol. 131, no. 4, pp. 1403-1408,
2000.
[8] Douglas C. Montgomery, Design and Analysis of Experiments, John
Wiley & Sons, 2001.
[9] Raymond H. Myers and Douglas C. Montgomery, Response Surface
Methodology: Process and Product Optimization Using Design
Experiments, John Wiley & Sons, 1995.
[10] J. T. Li, Z. J. Liu, M. A. Jabbar, and X. K. Gao, "Design optimization
for cogging torque minimization using response surface methodology,"
IEEE Trans. Magn., vol. 40, no. 2, pp. 1176-1179, March 2004.
[1] John M. Miller, Propulsion systems for hybrid vehicles, The Institution
of Electrical Engineers, 2004.
[2] Mohammad S. Islam, S. Mir, T. Sebastian, and S. Underwood, "Design
consideration of sinusoidally excited permanent magnet machines for
low torque ripple applications," in Conf. Rec. IEEE-IAS Annu. Meetings,
2004, CD-ROM.
[3] M. Sanada, K. Hiramoto, S. Morimoto, and Y. Takeda, "Torque ripple
improvement for synchronous reluctance motor using an asymmetric
flux barrier arrangement," IEEE Trans. Ind. Applicat., vol. 40, no. 4, pp.
1076-1082, July/August 2004.
[4] S. Morimoto, Y. Tong, Y. Takeda, and T. Hirasa, "Loss minimization
control of permanent magnet synchronous motor drives," IEEE Trans.
Ind. Electron., vol. 41, no. 5, pp. 511-517, Oct. 1994.
[5] J. J. Lee, Y. K. Kim, H. Nam, K. H. Ha, J. P. Hong, and D. H. Hwang,
"Loss distribution of three phase induction motor fed by pulsewidthmodulated
inverter," IEEE Trans. Magn., vol. 40, no. 2, pp. 762-765,
Mar. 2004.
[6] S. Morimoto, Y. Takeda, and T. Hirasa, "Current phase control methods
for permanent magnet synchronous motors," IEEE Trans. Power
Electron., vol. 5, no. 2, pp. 133-138, April 1990.
[7] S. Morimoto, and Y. Takeda, "Machine parameters and performance of
interior permanent magnet synchronous motors with different permanent
magnet volume," Elec. Eng. in Japan, vol. 131, no. 4, pp. 1403-1408,
2000.
[8] Douglas C. Montgomery, Design and Analysis of Experiments, John
Wiley & Sons, 2001.
[9] Raymond H. Myers and Douglas C. Montgomery, Response Surface
Methodology: Process and Product Optimization Using Design
Experiments, John Wiley & Sons, 1995.
[10] J. T. Li, Z. J. Liu, M. A. Jabbar, and X. K. Gao, "Design optimization
for cogging torque minimization using response surface methodology,"
IEEE Trans. Magn., vol. 40, no. 2, pp. 1176-1179, March 2004.
@article{"International Journal of Electrical, Electronic and Communication Sciences:50650", author = "Mehdi Karbalaye Zadeh and Ehsan M. Siavashi", title = "Optimal Control Strategy for High Performance EV Interior Permanent Magnet Synchronous Motor", abstract = "The controllable electrical loss which consists of the
copper loss and iron loss can be minimized by the optimal control of
the armature current vector. The control algorithm of current vector
minimizing the electrical loss is proposed and the optimal current
vector can be decided according to the operating speed and the load
conditions. The proposed control algorithm is applied to the
experimental PM motor drive system and this paper presents a
modern approach of speed control for permanent magnet
synchronous motor (PMSM) applied for Electric Vehicle using a
nonlinear control. The regulation algorithms are based on the
feedback linearization technique. The direct component of the current
is controlled to be zero which insures the maximum torque operation.
The near unity power factor operation is also achieved. More over,
among EV-s motor electric propulsion features, the energy efficiency
is a basic characteristic that is influenced by vehicle dynamics and
system architecture. For this reason, the EV dynamics are taken into
account.", keywords = "PMSM, Electric Vehicle, Optimal control, Traction.", volume = "2", number = "10", pages = "2128-6", }