Torque ripple minimization of PMSM using PI type iterative learning control

Yan, Yan; Li, Wenshan; Deng, Weitao; Zhang, Guozheng; Xia, Changliang

doi:10.1109/iecon.2014.7048612

Cited by 23 publications

(14 citation statements)

References 16 publications

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“…Substitute (15) into (11), the desired current in , dq coordinate can be rewritten as where errors of harmonic current are sent to PI controller, whose output is also current. The final output of harmonic current controller is harmonic voltage, made up by feedback control voltage and feedforward steady state voltage.…”

Section: Harmonic Voltage Decouple and Feedforward Controlmentioning

confidence: 99%

“…One way is to obtain the magnitude and phase of thrust ripple and compensate it on the control command. Adaptive algorithm [8], disturbance observer [9], repetitive control [10], iterative learning control [11] are studied since thrust ripple is periodical. Though stator current harmonics will cause electromagnetic force ripple, adequate electromagnetic force harmonics can counteract the reluctance force ripple of motor，which is the essence of suppressing thrust ripple.…”

Section: Introductionmentioning

confidence: 99%

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A method of thrust ripple suppression for long stator linear synchronous motor

Kang

Wang

et al. 2018

Transportation Systems and Technology

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With the advantages of high speed, low noise and high efficiency, the electromagnetic suspension (EMS) type maglev train has a good prospect in railway transportation. It is based on the long stator linear synchronous motor (LSLSM). However, due to cogging effect, end effect and the harmonics in the stator current and flux density distribution around the air-gap, the thrust generated by the LSLSM fluctuates. The thrust ripple brings noise, drop of control accuracy, even causes the resonance of train. In this paper, the thrust ripple produced by the cogging effect and flux linkage harmonics is analyzed. Then a method of harmonic current injection is proposed to compensate cogging force and reduce the thrust ripple, without influence the decoupling control of traction and suspension system. The injected current harmonics are controlled under multiple rotating reference frames independently. Finally, based on voltage equations of harmonics, the decoupled harmonic current controllers with harmonic voltage feedforward are designed, which improve the performance of current harmonics response and thrust ripple suppression. Simulation results on Simulink verify the effectiveness of proposed thrust ripple suppression method for LSLSM.

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Section: Harmonic Voltage Decouple and Feedforward Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A method of thrust ripple suppression for long stator linear synchronous motor

Kang

Wang

et al. 2018

Transportation Systems and Technology

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“…An iterative learning controller (ILC) is widely used in PMSM to overcome the periodic cogging torque disturbance because of its excellent suppression effect on periodic disturbance and easy to realize in digital system [6][7][8]. In reference [12], an open-loop ILC controller is designed, which makes the design of ILC simpler, but it still has the problem of slow convergence. Reference [13] designs an ILC based on the frequency domain, which can suppress periodic disturbance of several frequencies at the same time.…”

Section: Introductionmentioning

confidence: 99%

High Precision Low-Speed Control for Permanent Magnet Synchronous Motor

Xia

Bao

2020

Sensors

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Due to the process defects and imperfection of drivers, permanent magnet synchronous motors (PMSM) are problematic to control. There is still a lack of effective high-performance control methods for inertial stabilized platforms based on PMSM currently. At present, the most frequently used method is sliding mode control (SMC), but traditional sliding mode control cannot overcome the contradiction between high performance and system chattering. In order to solve this problem and improve the system reliability and pointing accuracy, a new approach law for the sliding mode controller is proposed in this paper. In view of the large periodic torque ripple in PMSM, an iterative learning controller (ILC) is introduced to compensate for the disturbance. Based on these, aimed at suppressing all kinds of real-time disturbances in the working environment of the system, the extended state observer (ESO) is brought into the servo system to observe the lumped disturbance of the system, and the total disturbance observed is compensated into the sliding mode controller, so as to better suppress the system chattering and enhance the system’s ability of resisting external disturbance. Experiments are carried out on an inertial stabilization platform based on DSP + CPLD. The final experiments verify that the SMC with the new approach, combined with ILC and ESO, is of outstanding performance when compared with the traditional proportional integral (PI) + disturbance observer (DOB) control scheme.

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“…Torque ripple caused only by the harmonics is considered, but many other factors have not been mentioned. A control method combining PI control with iterative learning control is proposed in [13], but PI control has relatively weak adaptability to disturbances, and many parameters need to be set. Some other methods have been investigated in [14]- [16], and there are also some defects such as an existing error in compensation, inaccurate detection of zero-crossing of current.…”

Section: Introductionmentioning

confidence: 99%