A Wide-Adjustable Sensorless IPMSM Speed Drive Based on Current Deviation Detection under Space-Vector Modulation

Mubarok, Muhammad Syahril; Liu, Tian‐Hua; Tsai, Chung-Yuan; Wei, Zuo-Ying

doi:10.3390/en13174431

Cited by 7 publications

(6 citation statements)

References 25 publications

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“…Current and pressure also change with Pk. The speed of cutting motor is controlled by SVPWM as shown in Figure 9 [25,26]. As shown in Figure 10, the motor reaches the rated speed at about 0.6 s. The cutting speed decreases from 1485 r/min to 1406 r/min when the time reaches 0.7 s. The cutting head speed decreases to 1215 r/min when the hardness of coal and rock changes again.…”

Section: Adaptive Control Simulation Of Roadheadermentioning

confidence: 99%

Adaptive Cutting Control for Roadheaders Based on Performance Optimization

Liu

et al. 2021

Machines

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Aiming at addressing the problems of high specific energy consumption for cutting and slow response to the change of hardness in the control of existing mining roadheaders, an adaptive variable speed cutting control method based on cutting performance optimization is proposed by analyzing the working principle of roadheaders. Firstly, cylinder pressure and motor current are invoked as the criteria to judge load changes. Particle swarm optimization is utilized to optimize the cutting parameters under different impedance. Then, the relation between cutting speed, motor current and cylinder pressure is established by using fuzzy neural network to train cutting parameters and identification parameters under different conditions. Finally, the vector control of motor and electro-hydraulic servo valve is used to control the cutting speed. The results show that the cutting unit can adapt to different load signals and always keep the roadheader in the optimal working state. The rotation speed regulation of the cutting head reaches the stable state after 0.05 s, with the overshoot of 1.42%. The swing speed regulation of the cutting head reaches the stable state after 1 s, with the overshoot of 5.3%. Conclusions provide a basis for improving the cutting efficiency and prolonging the working life of the roadheader.

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Section: Adaptive Control Simulation Of Roadheadermentioning

confidence: 99%

Adaptive Cutting Control for Roadheaders Based on Performance Optimization

Liu

et al. 2021

Machines

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“…In addition, the backstepping control could reduce nonlinear uncertaintyeffects. Mubarok et al [9] implemented a wide-adjustable sensorless IPMSM speed drive system based on current deviation detection under spacevector modulation. By using the proposed method, the IPMSM motor could be operated from 0 r/min to 3000 r/min.…”

Section: A Short Review Of the Contributions In This Issuementioning

confidence: 99%

“…This Special Issue contains the successful invited submissions [1][2][3][4][5][6][7][8][9][10][11] to a Special Issue of Energies on the subject of the "Design and Control of Electrical Motor Drives". Electrical motor drives are widely used in industry, automation, transportation, and home appliances.…”

Section: Introductionmentioning

confidence: 99%

Design and Control of Electrical Motor Drives

Liu

2021

Energies

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“…If the switching takes place drastically, chattering may occur. It can be prevented by using a speed-dependent hysteresis changeover [13][14][15][16]. Furthermore, it is better to employ a speed-dependent gain for the smooth transition.…”

Section: Introductionmentioning

confidence: 99%

Regression Model-Based Flux Observer for IPMSM Sensorless Control with Wide Speed Range

Choi

2021

Energies

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A new linear regression form is derived for a flux observer and a position observer is designed. In general, the observability of the permanent-magnet synchronous motor is lost at zero speed. In this work, the proposed regressor vector contains current derivative terms in both directions (dq-axis), and it gives the chance for the model-based flux observer to operate at zero speed. When an excitation signal is injected into d and q axes with the proposed flux observer, it helps to satisfy the persistent excitation condition in the low-speed range. Therefore, the sensorless performance of the model-based is improved greatly, even at zero speed. However, it appears with a disturbance term, which depends on the derivative of the d-axis current. Thus, the disturbance does not vanish when an excitation signal is injected. In this work, the disturbance term is also taken care of in constructing an observer. It results in an observer which allows signal injection. Thus, high frequency signal can be injected in the low speed region and turned off when it is unnecessary as the speed increases. This model-based approach utilizes the signal injection directly without recurring to a separate high frequency model. In other words, it provides a seamless transition without switching to the other algorithm. The validity is demonstrated by simulation and experimental results under various load conditions near zero speed.

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A Wide-Adjustable Sensorless IPMSM Speed Drive Based on Current Deviation Detection under Space-Vector Modulation

Cited by 7 publications

References 25 publications

Adaptive Cutting Control for Roadheaders Based on Performance Optimization

Adaptive Cutting Control for Roadheaders Based on Performance Optimization

Design and Control of Electrical Motor Drives

Regression Model-Based Flux Observer for IPMSM Sensorless Control with Wide Speed Range

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