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Abstract

Three-phase current is very important in the vector control scheme of permanent magnet synchronous motor, and its sampling precision affects the servo control performance directly. In the low-cost servo system, to simplify the structure and reduce the volume, three-phase current is often not accurately detected because the current sensors are usually replaced by the sampling resistors, which will cause the undesirable torque ripple. Therefore, to enhance the closed-loop control performance for the low-cost servo system, an adaptive control method is proposed to compensate the current measurement error. In this approach, first, the estimated currents can be obtained online by a current state observer. Then, a three-phase current error compensator is designed based on the mathematical relation between three-phase current error and torque current. Next, based on the model reference adaptive control algorithm, two proportional–integral controllers are used to further strengthen the compensation effect. Finally, experimental results confirm that this method is effective and precise, and three-phase current error does not affect the servo control performance.

Keywords

Permanent magnet synchronous motor low-cost sampling resistors current measurement error model reference adaptive control

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References

Wang

M-S

Kung

Y-S

Thi

. Superior low-speed control of a permanent magnet synchronous motor with digital encoder. Proc IMechE, Part I: J Systems and Control Engineering 2011; 225(2): 281–291.

Morel

Lin-Shi

Retif

. A comparative study of predictive current control schemes for a permanent-magnet synchronous machine drive. IEEE T Ind Electron 2009; 56: 2715–2728.

Tang

Song

. Adaptive PIF control for permanent magnet synchronous motor based on GPC. Sensors 2013; 13: 175–192.

Jeffrey Kuo

C-F

Hsu

C-H

. Precise speed control of a permanent magnet synchronous motor. Int J Adv Manuf Tech 2006; 28: 942–949.

Mohamed

YARI

. Adaptive self-tuning speed control for permanent-magnet synchronous motor drive with dead time. IEEE T Energy Conver 2006; 21: 855–862.

Harke

Guerrero

Degner

. Current measurement gain tuning using high-frequency signal injection. IEEE T Ind Appl 2008; 44: 1578–1586.

Harke

Lorenz

. The spatial effect and compensation of current sensor gain deviation for three-phase three-wire systems. IEEE T Ind Appl 2008; 44: 1181–1187.

Yeo

Heins

Boer

. Indirect adaptive feedforward control in compensating cogging torque and current measurement inaccuracies for permanent magnet motors. In: Proceedings of the IEEE international conference on control and automation (ICCA’09), Christchurch, 9–11 December 2009, pp.2136–2142. New York: IEEE.

Yeo

Heins

Boer

. Adaptive feedforward control to compensate cogging torque and current measurement errors for PMSMs. In: Proceedings of the IEEE international electric machines and driver conference (IEMDC’11), Niagara Falls, ON, Canada, 15–18 September 2011, pp.942–947. New York: IEEE.

10.

Chung

Sul

. Analysis and compensation of current measurement error in vector-controlled AC motor drives. IEEE T Ind Appl 1998; 34: 340–345.

11.

Lam

Panda

. Torque ripple minimization in PM synchronous motor using iterative learning control. In: Proceedings of the 25th annual conference of the IEEE industrial electronics society, San Jose, CA, 29 November–3 December 1999, pp.1458–1463. New York: IEEE.

12.

Jung

Hwang

Kim

. Diminution of current-measurement error for vector-controlled AC motor drives. IEEE T Ind Appl 2006; 42: 1249–1256.

13.

Cho

Seok

. Correction on current measurement errors for accurate flux estimation of AC drives at low stator frequency. IEEE T Ind Appl 2008; 44: 594–603.

14.

Zhang

Chen

. Correction technology of the position angles of linear motors based on MRAC method. Contr Theory Appl 2007; 4(8): 687–691.

15.

Zhang

Fei

. Robust control for a direct-driven permanent magnetic synchronous generator without mechanical sensors based on model reference adaptive backstepping control method. Proc IMechE, Part I: J Systems and Control Engineering 2012; 226(8): 1130–1141.

Current compensation control for low-cost servo system

Abstract

Keywords

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References