A New Frequency Adaptive Second-Order Disturbance Observer for Sensorless Vector Control of Interior Permanent Magnet Synchronous Motor

Woldegiorgis, Abebe Teklu; Ge, Xinglai; Wang, Huimin; Hassan, Mannan

doi:10.1109/tie.2020.3047065

Cited by 40 publications

(17 citation statements)

References 36 publications

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“…Moreover, the conventional FCS‐MPC method is correlated with the proposed control technique. Table 3 shows the three‐phase IPMSM used in railway traction drive system parameters [4–7]. Gains parameters of proportional and integrator are adjusted, as explained in [50, 52].…”

Section: Simulation and Validationmentioning

confidence: 99%

“…Meanwhile, a large interest in using IPMSM is increasing from time to time due to its advantage. Their advantages are higher efficiency drive systems, smaller size, avoidance of rotor coil, low electrical losses, power density, low torque ripples, flux weakening performance, and torque-speed curves of PMSM smooth and favorable for traction drives as compared with other drives [2][3][4][5][6][7]. In modern transportation systems, electrical motor drives, including advanced electronics, machines, and power electronics, have become more familiar due to new advancements and fast growth in the transportation area in the last 2 decades.…”

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confidence: 99%

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Computational efficient model predictive current control for interior permanent magnet synchronous motor drives

Hassan

Atif

et al. 2022

IET Power Electronics

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The standard model predictive control (MPC) of three‐phase motors requires heavy calculation efforts for evaluating all voltage vectors (VV) in addition to the variable switching frequency, large current harmonics, and torque ripples. To deal with these problems, a computational efficient model predictive current control (MPCC) is proposed for a three‐phase interior permanent magnet synchronous motor (IPMSM). Initially, to avoid the protracted enumeration process, the reference voltage vector (RVV) is directly calculated by using the reference current generated by the maximum torque per ampere technique (MTPA), which is an additional control objective. The position of the RVV is utilized to define three candidate voltage vectors to be examined using the cost function, which determines the optimal vector. Secondly, an optimal duty cycle (ODC) is designed to minimize the error between the optimal vector and the reference vector reducing the current ripples. Furthermore, the proposed scheme is compared with the conventional MPCC techniques using MATLAB simulation and hardware in loop (HIL) with TMS320F28335 digital signal processor (DSP) experiments. A comprehensive analysis of the results for different operating conditions shows the effectiveness and robustness of the proposed method.

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Section: Simulation and Validationmentioning

confidence: 99%

mentioning

confidence: 99%

Computational efficient model predictive current control for interior permanent magnet synchronous motor drives

Hassan

Atif

et al. 2022

IET Power Electronics

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“…In the traditional position detection method, mechanical sensors such as electronic or electromechanical sensors are used for direct measurements; for example, as Hall effect devices, resolvers, and optical type encoders. 2,3…”

Section: Introductionmentioning

confidence: 99%

Adaptive quasi-proportional resonant control with parameter estimation for PMSM sensorless control

Chen

2023

Advances in Mechanical Engineering

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Conventional sliding mode control (SMO) utilizes a sign function and a low-pass filter (LPF) to achieve sensorless control of a permanent magnet synchronous motor (PMSM). However, the introduction of the sign function generates a large number of high harmonics, resulting in a significant system output chattering, whereas the addition of the LPF generates control delays and phase shifts. These degrade the PMSM speed and the position estimation accuracy and reduce the system control performance. To improve the performance of the PMSM, adaptive quasi-proportional resonant sensorless control with parameter estimation (AQPR_PE) is proposed. In this control model, an adaptive quasi-proportional resonance controller is used reduce the system output error and to weaken the chattering phenomenon. Meanwhile, the system PMSM parameters are estimated online and fed back to the control model to improve the system parameter robustness and the control accuracy. The Bode diagram, Popov theory, and root trajectory are used to analyze the stability of AQPR, parameter estimation, and AQPR_PE, respectively. Finally, the effectiveness of the proposed method is demonstrated by experimental validation.

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“…Permanent-magnet synchronous motors (PMSM) have been broadly applied in electric vehicles, flywheel energy storage systems, and wind energy conversion systems in the recent years [1]- [3]. For speed and position regulation in the PMSM, there are two main control techniques: direct torque control (DTC) and field-oriented control (FOC).…”

Section: Introductionmentioning

confidence: 99%

Switched PI Control Based MRAS for Sensorless Control of PMSM Drives Using Fuzzy-Logic-Controller

Liu

Nie

Wei

et al. 2022

IEEE Open J. Power Electron.

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With the use of sensorless control strategy, mechanical position sensors can be removed from the gearbox, so as to decrease the maintenance costs and enhance the system robustness. In this paper, a switching PI control based model reference adaptive system (MRAS) observer using Fuzzy-Logic-Controller (FLC) is introduced for sensorless control of permanent magnet synchronous motor (PMSM) drives. The main work and innovation of this paper include: 1) A disturbance observer based voltage compensation method is proposed to solve the problems of voltage distortion in voltage source inverter (VSI) fed PMSM systems. 2) A double closed-loop FLC is designed for speed and current control. The response performance of speed regulation and the accuracy of the command voltage are improved, and the difficulty of manual adjustment of control parameters is avoided. 3) A sensorless control strategy of a switching PI control based MRAS observer is proposed for stator resistance tracking. By setting different thresholds, the proposed MRAS observer can choose the appropriate PI adaptive mechanism based on the amplitude of the current error variable, which can improve the accuracy of resistance estimation and improve the dynamic performance of sensorless control. 4) The experimental results are given to verify the availability of the proposed scheme.

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A New Frequency Adaptive Second-Order Disturbance Observer for Sensorless Vector Control of Interior Permanent Magnet Synchronous Motor

Cited by 40 publications

References 36 publications

Computational efficient model predictive current control for interior permanent magnet synchronous motor drives

Computational efficient model predictive current control for interior permanent magnet synchronous motor drives

Adaptive quasi-proportional resonant control with parameter estimation for PMSM sensorless control

Switched PI Control Based MRAS for Sensorless Control of PMSM Drives Using Fuzzy-Logic-Controller

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