A New Adaptive Self-Tuning Fourier Coefficients Algorithm  for Periodic Torque Ripple Minimization in Permanent  Magnet Synchronous Motors (PMSM)

Gómez-Espinosa, Alfonso; Hernández-Guzmán, Victor Manuel; Bandala, Manuel; Hernandez, H.; Rivas-Araiza, Edgar A.; Rodríguez‐Reséndiz, Juvenal; Herrera-Ruíz, Gilberto

doi:10.3390/s130303831

Cited by 24 publications

(17 citation statements)

References 21 publications

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“…In order to understand the periodic nature of torque ripple in PMSMs, this section is used to review the mathematical model and the additional considerations studied by [7].…”

Section: Model Description and Problem Formulationmentioning

confidence: 99%

“…Iterative Learning Control (ILC) is intuitively an excellent choice for torque ripple minimization [6]. Using the periodic nature of torque ripple and based on the component's harmonic distortion in the time domain of the compensation signal, the Fourier series controller coefficients can be adjusted with the aim of reducing the torque ripple in a PMSM, thus allowing for smoother operation [7].…”

Section: Introductionmentioning

confidence: 99%

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Fourier Series Learning Control for Torque Ripple Minimization in Permanent Magnet Synchronous Motors

et al. 2016

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Abstract:A new Fourier Series Learning Controller (FSLC) for velocity control on a Permanent Magnet Synchronous Motor (PMSM) is proposed and implemented. An analysis of the error convergence for the FSLC is presented, and the update law for the Fourier series coefficients is specified. The field-oriented control method is used as a basic element to implement three different controllers for a PMSM. The performance of the FSLC is compared with two control methods, a classical PI (Proportional Integral) controller and an artificial neural network controller. The periodic nature of torque ripple in PMSMs is considered as a periodic disturbance, which must be compensated by the controller. With the FSLC implementation, a substantial reduction of the velocity ripple is obtained. Furthermore, a higher speed of learning is achieved with the FSLC in comparison with the artificial neural network.

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“…In order to understand the periodic nature of torque ripple in PMSMs, this section is used to review the mathematical model and the additional considerations studied by [7].…”

Section: Model Description and Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fourier Series Learning Control for Torque Ripple Minimization in Permanent Magnet Synchronous Motors

et al. 2016

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“…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. However, it is difficult to combine with other controllers in the system.…”

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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“…In this type of research, two major trends can be observed: (1) the reduction in torque ripples by the control system side [1][2][3][4][5] and (2) the improvement of the torque quality at the design stage by the optimization of the electromagnetic circuit of the electrical machine. In the first trend, the current harmonic injection is one of the commonly applied techniques [1][2][3]. Due to the technical difficultly of directly measuring the torque ripple in such approaches, torque observers are usually employed [2].…”

Section: Introductionmentioning

confidence: 99%

Torque Ripple Minimization of the Permanent Magnet Synchronous Machine by Modulation of the Phase Currents

Jędryczka

Danielczyk

Szeląg

2020

Sensors

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This paper deals with the torque ripple minimization method based on the modulation of the phase currents of the permanent-magnet synchronous motor (PMSM) drive. The shape of the supply current waveforms reducing the torque ripple of the machine considered was determined on the basis of finite element analysis (FEA). In the proposed approach, the machine is supplied by a six-leg inverter in order to allow for the injection of zero sequence current harmonics. Two test PMSMs with fractional-slot concentrated windings (FSCW) and surface-mounted permanent magnets (SPMs) have been examined as a case study problem. Wide-range fractional analyses were performed using developed numerical models of the electromagnetic field distribution in the considered machines. The results obtained show that the level of torque ripple in FSCW PMSMs can be effectively reduced by the modulation of the phase currents under the six-leg inverter supply.

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A New Adaptive Self-Tuning Fourier Coefficients Algorithm for Periodic Torque Ripple Minimization in Permanent Magnet Synchronous Motors (PMSM)

Cited by 24 publications

References 21 publications

Fourier Series Learning Control for Torque Ripple Minimization in Permanent Magnet Synchronous Motors

Fourier Series Learning Control for Torque Ripple Minimization in Permanent Magnet Synchronous Motors

High Precision Low-Speed Control for Permanent Magnet Synchronous Motor

Torque Ripple Minimization of the Permanent Magnet Synchronous Machine by Modulation of the Phase Currents

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