Position sensorless vector control of PMSM drives based on SMO

Saadaoui, Oussama; Khlaief, Amor; Abassi, Moez; Châari, Abdelkader; Boussak, Mohamed

doi:10.1109/sta.2015.7505148

Cited by 16 publications

(15 citation statements)

References 8 publications

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“…Using the transformation matrices in equation (5) and equation (6), the high frequency response output of the pulsed high frequency voltage injection method as shown in equation (7) can be obtained:…”

Section: Spatial Position Relation Between Estimation and Actual Romentioning

confidence: 99%

“…However, because of the existence of sensors, the electromechanical equipment with motor as the core has disadvantages in cost, reliability and other aspects. The concept of sensorless is put forward in the 1970s and has been applied to modern high performance electric drive systems including PMSM [2]. The basic principle of sensorless technology is based on motor parameters, using direct calculation, state estimation, indirect measurement to estimate or identify the rotor speed.…”

Section: Introductionmentioning

confidence: 99%

“…Respectively, u, i, ψ, L are stator electricity, current, flux linkage and inductor. R is the stator resistance; ωe is the electrical angular velocity and ψf is permanent magnet flux [5].…”

Section: Introductionmentioning

confidence: 99%

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Research on Sensorless Composite Position Identification Method for PMSM

Chen¹,

Li²

2019

Proceedings of the 2nd International Conference on Electrical and Electronic Engineering (EEE 2019)

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Both the high frequency pulsation signal injection method and sliding mode observer (SMO) can be utilized to identify the position of permanent magnet synchronous motor (PMSM) sensorless system. When the speed of motor runs high, the high-frequency signal injection method is no longer utilized. When the speed of motor runs low, the rotor position signal cannot be accurately detected because of the weak back-EMF signal, so SMO is not used. For the sake of effectively identify the rotor position in full speed range, a composite identification method combining the high frequency injection and SMO is adopted. Therefore, two identification methods need to be switched in the full speed range. The weighted switching function is used to identify the rotor position, so that that rotor position error estimate by the sensorless PMSM in the full speed range is smaller. The results of simulation verify the availability of this method.

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Section: Spatial Position Relation Between Estimation and Actual Romentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Research on Sensorless Composite Position Identification Method for PMSM

Chen¹,

Li²

2019

Proceedings of the 2nd International Conference on Electrical and Electronic Engineering (EEE 2019)

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“… developed the DTC method but there are disadvantages, consisting of difficulties in torque control and high‐level noise at low speed. Indeed, to estimate the rotor position/speed, several studies have used the extended Kalman filter , MRAS , a nonlinear observer , and the SMO . The latest observer is widely used in the research domain due to its robustness towards the parametric uncertainties.…”

Section: Introductionmentioning

confidence: 99%

A New Full‐Order Sliding Mode Observer Based Rotor Speed and Stator Resistance Estimation for Sensorless Vector Controlled Pmsm Drives

Saadaoui

Khlaief

Abassi

et al. 2018

Asian Journal of Control

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Sensorless control of a permanent magnetsynchronous motor (PMSM) at low speed remains a challenging task. In this paper, a sensorless vector control of PMSM using a new structure of a sliding mode observer (SMO) is proposed. To remove the mechanical sensors, a full-order (FO-SMO) is built to estimate the rotor position and speed of PMSM drives. The FO-SMO, which replaces a sign function by a sigmoid function, can reduce the chattering phenomenon. In order to overcome time delay, we cancel the low pass filter. This sensorless speed control shows great sensitivity to stator resistance and system noise. To improve the robustness of sensorless vector control, a full-order SMO technique has been used for stator resistance estimation. A novel stator resistance estimator is incorporated into the sensorless drive to compensate for the effects of stator resistance variation. The validity of the proposed FO-SMO with a 1.1 kw low-speed PMSM sensorless vector control is demonstrated by experiments. In this paper, experimental results for FO-SMO, back-EMF SMO and MRAS techniques were obtained with fixed point DSP-based (TMS320F240).

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“…A novel SMO method is adopted in order to weaken the chattering problem and increase estimation accuracy of rotor position. In this method, the conventional switch function is replaced by the sigmoid function [17], [19]. Further, the PLL is used to calculate the rotor position after the back-EMF is estimated from the novel SMO [15], [22], [24], [31].…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Sensorless Electronic Water Pump for Automobile

Han¹

2018

JEEE

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The electronic water pump will be used more and more widely in the new energy vehicles and other special vehicles. A sensorless electronic water pump for automobile is designed and implemented with the brushless direct current motor (BLDCM) as the driving motor. A sensorless magnetic field oriented control (FOC) scheme using sliding mode observer (SMO) is applied for the motor control. A novel SMO and the phase-locked loop (PLL) for reducing the chattering phenomenon are used to estimate rotor velocity/position from the back electromotive force (EMF), in which a continuous saturation function is applied instead of the sign function. A robust If startup strategy is introduced. The hardware circuit design and software algorithm design are presented. The experimental system is set up and some experimental results are demonstrated. The effectiveness and correctness of the proposed hardware design and the software scheme are validated. Experimental results show that the developed electronic water pump is reasonable and feasible with a high cost performance.

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Position sensorless vector control of PMSM drives based on SMO

Cited by 16 publications

References 8 publications

Research on Sensorless Composite Position Identification Method for PMSM

Research on Sensorless Composite Position Identification Method for PMSM

A New Full‐Order Sliding Mode Observer Based Rotor Speed and Stator Resistance Estimation for Sensorless Vector Controlled Pmsm Drives

Design and Implementation of Sensorless Electronic Water Pump for Automobile

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