Implementation of Predictive Controllers for Matrix-Converter-Based Interior Permanent Magnet Synchronous Motor Position Control Systems

Mubarok, Muhammad Syahril; Liu, Tian‐Hua

doi:10.1109/jestpe.2018.2873151

Cited by 21 publications

(9 citation statements)

References 35 publications

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“…Some researchers have investigated the application of MPCs in motor drives. The applications covered by those researchers can be divided into predictive position control [18], predictive speed control [19], and predictive current control [20].…”

Section: Introductionmentioning

confidence: 99%

Predictive Controllers for Dual-Voltage Vector Current-Slope Sensorless IPMSM Drives

Mubarok

Liu

2021

IEEE Access

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A rotor position estimation method based on a dual-voltage vector modulation technique for an IPMSM drive system is proposed in this paper. This method effectively increases the differences of the current slope in each switching state when compared to a single-voltage vector modulation technique, and it improves the current tracking capability of the current control as well as the accuracy of the rotor position estimation. The duty cycles of the dual-voltage vectors are systematically derived to generate the PWM switching states of the inverter. By measuring the current slope in each PWM switching state, the rotor position is easily estimated. In addition, the pulse width of the voltage vectors is not too narrow and does not require any extension or compensation. A predictive speed controller and a predictive current controller are designed and implemented to improve the dynamic responses of the drive system. All of the control algorithms, including dual-voltage vector modulation, rotor position estimation, and predictive control are realized through a DSP TMS-320F-2808. Experimental results show the proposed method provides an adjustable speed from 1 r/min to 2000 r/min with good performance, including transient responses, external load disturbance rejection, reversing speed, and tracking capability.INDEX TERMS current-slope, dual-voltage vector, predictive control, sensorless IPMSM drive.

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Section: Introductionmentioning

confidence: 99%

Predictive Controllers for Dual-Voltage Vector Current-Slope Sensorless IPMSM Drives

Mubarok

Liu

2021

IEEE Access

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“…However, to get high accuracy is necessary to have installed the position sensor in the system. Thus, several advanced position controllers as a sliding-mode control [14,15], fuzzy [16][17][18] and model predictive control [19,20] are presented. All these position controllers provide good dynamics and high accuracy, in spite of much of them not detailing the last one explicitly.…”

Section: Introductionmentioning

confidence: 99%

Effective Position Control for a Three-Phase Motor

et al. 2020

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This document presents an efficient proportional derivative (PD) position controller for three-phase motor drives. The regulator has been designed in frequency domain, employing the direct–quadrature (d–q) synchronous rotating reference frame and the indirect vector control. The presented position regulator is easy to tune and incorporates a feed forward (FF) term to compensate effectively the effect of the load disturbance. This position controller has been validated experimentally by using two industrial three-phase motors: an induction motor (IM) of 7.5 kW and a permanent magnet synchronous motor (PMSM) of 3.83 kW. The inner proportional integral (PI) current loops of both machines have also been designed in the frequency domain. Each machine has connected in its shaft an incremental encoder of 4096 pulses per revolution, to measure the position. Several simulations and experimental tests have been carried out with both motors, in favorable conditions and also with various types of adversities (parametric uncertainties, unknown load disturbance and measurement noise in the position and current loops), getting very good results and suggesting that this controller could be used in the research area and also in the industry.

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“…However, the switching action inside inverter may cause current spikes. In order to solve this problem, scholars have proposed a method that the current detection is performed immediately before power device turns on or turns off in each sampling period [15], [38]. In [39], a weighting factor is added in prediction process to eliminate current spikes.…”

Section: Introductionmentioning

confidence: 99%

Current Prediction Error Reduction Method of Predictive Current Control for Permanent Magnet Synchronous Motors

et al. 2020

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Predictive current control (PCC) has been widely investigated in motor drive field. The PCC is a model-based control method and the motor prediction model is quite sensitive to motor parameters which may be inaccurately measured and change under different working conditions. In order to reduce the current prediction error of PCC caused by inductance mismatch, a current prediction error reduction method is proposed for permanent magnet synchronous motor (PMSM) by online inductance correction which is based on the relationship between inductance mismatch and current prediction error. Firstly, a proportional regulator is used to obtain the absolute correction value according to the relationship between inductance error and current prediction error. Secondly, the polarity of correction value is judged according to the fluctuation amplitudes of predicted current and actual current. Finally, an adaptive adjustment method for correction period is proposed to ensure the accuracy of inductance correction value. Experimental tests are carried out to verify the effectiveness of proposed method, and results show that the proposed method can obviously reduce current prediction error and improve control performance in practical applications. In addition, the proposed method is suitable for interior and surface mounted PMSMs. INDEX TERMS Current prediction error reduction, online inductance correction, permanent magnet synchronous motor (PMSM), predictive current control (PCC).

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Implementation of Predictive Controllers for Matrix-Converter-Based Interior Permanent Magnet Synchronous Motor Position Control Systems

Cited by 21 publications

References 35 publications

Predictive Controllers for Dual-Voltage Vector Current-Slope Sensorless IPMSM Drives

Predictive Controllers for Dual-Voltage Vector Current-Slope Sensorless IPMSM Drives

Effective Position Control for a Three-Phase Motor

Current Prediction Error Reduction Method of Predictive Current Control for Permanent Magnet Synchronous Motors

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