A Novel Algorithm Based on EKF to Estimate Rotor Position and Speed for Sensorless PMSM Drivers

Bao-jun, Jiang

doi:10.1109/iciecs.2009.5362756

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…One major objective of this paper is to estimate the wide speed range of PMSM by using one powerful estimating method instead of two. For that, the EKF is chosen for its many advantages, such as reducing input noises, including both system and measurement noises and handling the parameter variation and the ability of motor start up from any initial position [8], [9]. The second objective of this paper is to use solar photovoltaic (PV) energy to feed the PMSM.…”

Section: Introductionmentioning

confidence: 99%

Sensorless Control of a PMSM Drive Using EKF for Wide Speed Range Supplied by MPPT Based Solar PV System

Anwer¹,

Omar²,

Bakır³

et al. 2020

ELEKTRON ELEKTROTECH

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In photovoltaic (PV) applications, employing Surface-Mounted Permanent Magnet Synchronous Motor (SMPMSM) can be a suitable option, especially for solar pumping and Heating, Ventilation, and Air Conditioning (HVAC) applications. However, when the motor loads are supplied from varying and limited energy sources, such as solar PV, it is vital to determine operating behavior and provide a stable operation for a wide range of operating conditions. In this study, the operating stability of Permanent Magnet Synchronous Motor (PMSM) was improved by sensorless Field Oriented Control (FOC) based on Extended Kalman Filter (EKF). In order to achieve optimal operation of the PV system under various meteorological conditions and load variations, an incremental conductance approach based maximum power point tracking (MPPT) system was introduced. For estimation of the speed of PMSM in wide speed range, instead of using a hybrid estimation strategy, fixed d-axis current with EKF was applied to the low-speed regions of SMPMSM, while in the medium and high speed regions, the d-axis current was set to zero. The major contributions of this paper are to reduce complexity of the control method and testing the method in a photovoltaic system with MPPT operation. The complete system was modeled in a Matlab/Simulink environment and simulation results are shown according to a wide range of operating conditions.

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Section: Introductionmentioning

confidence: 99%

Sensorless Control of a PMSM Drive Using EKF for Wide Speed Range Supplied by MPPT Based Solar PV System

Anwer¹,

Omar²,

Bakır³

et al. 2020

ELEKTRON ELEKTROTECH

View full text Add to dashboard Cite

show abstract

“…In this field, researchers have put forward many advanced theories and methods, such as observers based on the extended Kalman filter [3] [4], the high-frequency signal injection method, the algebraic method [5], the Sliding-mode methods [6] [7]. However, since the PMSM is a complex system with characteristics of variable parameters and strong coupling, these algorithms mentioned above mostly have limitations for practical application.…”

Section: Introductionmentioning

confidence: 99%

Speed and Rotor Position Identification for PMSM Based on Improved Nonsingular Terminal Sliding-Mode

Liu

Cheng

et al. 2012

AMR

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In this paper, an Improved Nonsingular Terminal Sliding-mode (INTSM) observer is proposed to estimate the speed of the permanent magnet synchronous motor (PMSM). The Nonsingular Terminal Sliding-mode (NTSM) not only inherits the good performance to track the state error, but also has the characteristic of limited time convergence. However, the conventional NTSM control law is too complex to apply in practice. The INTSM takes the thoughts of the fast Terminal Sliding-mode and uses a new nonlinear term to replace the conventional term. As a result, the new observer owns the characteristics of global fast convergence and simple control law. At last, the proposed method proves to be effective through the theoretical analysis and simulation test.

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A novel smooth transition strategy for BEMF-based sensorless drive startup of PMSM

Wang

2014

Proceeding of the 11th World Congress on Intelligent Control and Automation

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This paper proposes a novel smooth transition method, which can be applied to back electromotive force (BEMF)-based permanent magnet synchronous motors (PMSM) sensorless vector control drive. The problem with BEMF-based sensorless control of PMSM control is the inherent BEMF estimation precision before reaching a certain rotation velocity. A position open loop constant current (I-F) method, which is compared with the classical voltage-frequency (V-F) method of asynchronous motors control, is employed by applying the torque current feedback control technique to drive the motor from standstill to switch frequency. I-F strategy is analyzed first, the critical element load angle, which can influence motors switch process performance, is studied. To eliminate the switch physical parameters disturbance and achieve smooth transition, a novel strategy, that can transit the PMSM drive state from I-F, which is used during standstill and low speed rotation region, to BEMF-based sensorless FOC control smoothly, are presented. The transition strategy is furnished and its performance is shown and analyzed based on the PMSM dynamic model. At the end, an experimental platform, which is built by a high speed PMSM spindle and corresponding sensorless drive, is introduced to realize the supposed method, which can show the switch smoothness and illustrate the theoretical analysis rationality.

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A Novel Algorithm Based on EKF to Estimate Rotor Position and Speed for Sensorless PMSM Drivers

Cited by 4 publications

References 7 publications

Sensorless Control of a PMSM Drive Using EKF for Wide Speed Range Supplied by MPPT Based Solar PV System

Sensorless Control of a PMSM Drive Using EKF for Wide Speed Range Supplied by MPPT Based Solar PV System

Speed and Rotor Position Identification for PMSM Based on Improved Nonsingular Terminal Sliding-Mode

A novel smooth transition strategy for BEMF-based sensorless drive startup of PMSM

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