Simple Sensorless Control of Interior Permanent Magnet Synchronous Motor Using PLL Based on Extended EMF

Han, Dongxue; Cho, Yong-Soo; Lee, Kyo‐Beum

doi:10.5370/jeet.2017.12.2.711

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…The EMF methodology is simple to implement and performs well across a broad speed range, and the EMF estimate method based on a least-order observer has been widely employed [10][11][12]. The least-order observer reconstructs the IPMSM voltage equation.…”

Section: Introductionmentioning

confidence: 99%

Rotor Speed and Position Estimation Analysis of Interior PMSM Machines in Low and Medium-High Speed Regions Adopting an Improved Flux Observer for Electric Vehicle Applications

Rahman

Xia

2023

Machines

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This paper proposes a nonlinear flux linkage observer for the PMSM speed controls without motion sensors, introducing the deviation among the real stator flux linkage and an estimated stator flux linkage to suppress feedback and integral flux drift. In the position detection of an interior PMSM without a speed sensor, the traditional back EMF integration method uses a pure integrator, or LPF, to estimate the stator flux. Its inherent defects inevitably lead to inaccurate flux estimation, which directly affects the estimation of the motor mover position, resulting in the decline in motor control operation and the distortion of phase current. This paper uses an improved integrator with adaptive compensation. The projected value of the stator flux linkage has been derived from the estimated value of the rotor permanent magnetic flux linkage position angle and the algebraic model (m-model) of the stator flux linkage, along with a synchronous coordinate system. The IPMSM stator coil flux linkage obtained from the stator coil current and integral voltage models in the static coordinate system is compared to form a feedback closed-loop to suppress the integral drift, and using the cross-product approach of the actual and estimated flux linkage yields the projected value of the IPMSM rotor speed and position through a PLL. Compared with the existing motion-sensorless observers, the methodology proposed in this article is simple and exhibits better dynamic and static estimation performance. Extensive and comprehensive MATLAB computer simulation and experimental findings validate the proposed motion-sensorless control mechanism.

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Section: Introductionmentioning

confidence: 99%

Rotor Speed and Position Estimation Analysis of Interior PMSM Machines in Low and Medium-High Speed Regions Adopting an Improved Flux Observer for Electric Vehicle Applications

Rahman

Xia

2023

Machines

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“…These methods can be grouped into saliency-based sensorless control and mathematical-model-based estimation methods [21,22]. The first category is suitable for situations in which the sensitivity of parameters is a crucial issue [23][24][25][26]. However, the estimation methods in the first category require either customized motors or well-designed filters.…”

Section: Introductionmentioning

confidence: 99%

Experimental Evaluation of Predictive Torque Control of IPMSM under Speed Sensor and Sensorless Extended EMF Method

Alsofyani

Mohammed

2022

Electronics

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This study investigates the impact of the position information on the torque performance for an interior permanent magnet synchronous motor (IPMSM) driven by finite set–predictive torque control (FS-PTC). Unlike induction machines, IPMSMs are significantly sensitive to the rotor position during the motor operation owing to the permanent magnet of the rotor. Any misalignment or displacement of the rotor frame (d-q) can lead to poor prediction of the motor drive performance because the predictive control requires speed/position information during the prediction and evaluation by the cost function. Hence, the performance of the FS-PTC, which uses a speed encoder and senseless extended electromotive force (EMF) estimation, is evaluated and compared with respect to the speed and load conditions. Based on the investigation, the sensorless FS-PTC using the EMF method has superior torque performance and THD reduction compared to the measured speed-based PTC, particularly under large load torque. The performance evaluation of IPMSM was carried out through experimental results.

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“…During medium-speed and high-speed operations of an IPMSM, an estimation method based on the extended back electromotive force (EMF) is typically used [13][14][15][16]. This sensorless method, which is based on the extended EMF, involves a simple estimation procedure and fewer calculations.…”

Section: Introductionmentioning

confidence: 99%

Rotor position estimation over entire speed range of interior permanent magnet synchronous motors

2021

Self Cite

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This paper presents a method for transitioning between sensorless rotor position estimation methods for an interior permanent magnet synchronous motor (IPMSM). Through the proposed method, rotor position estimation over the entire speed range of the IPMSM is possible. Considering that each sensorless method governs a different speed range for estimating rotor position and speed with good accuracy, a strategy for transitioning between two methods is indispensable. In this study, a sensorless method based on extended back electromotive force (EMF) is used for high-speed operation. In addition, during low-speed operation, rotor position is estimated using the slope of measured current through the application of a zero-voltage vector. A weight function is applied to the position and speed information obtained from the two sensorless methods. The combined information is then used throughout the speed range of the IPMSM. To achieve smooth transitions, the weight function is altered based on the rotor speed in the transition region. The effectiveness of the proposed transition method was demonstrated via simulations and experiments.

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Simple Sensorless Control of Interior Permanent Magnet Synchronous Motor Using PLL Based on Extended EMF

Cited by 6 publications

References 14 publications

Rotor Speed and Position Estimation Analysis of Interior PMSM Machines in Low and Medium-High Speed Regions Adopting an Improved Flux Observer for Electric Vehicle Applications

Rotor Speed and Position Estimation Analysis of Interior PMSM Machines in Low and Medium-High Speed Regions Adopting an Improved Flux Observer for Electric Vehicle Applications

Experimental Evaluation of Predictive Torque Control of IPMSM under Speed Sensor and Sensorless Extended EMF Method

Rotor position estimation over entire speed range of interior permanent magnet synchronous motors

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