Abstract
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.
Highlights
Permanent Magnet Synchronous Motor (PMSM) has been the most requested motor used in the field of electrical machines due to its many distinct advantages, such as high efficiency, superior performance, and the ability to operate with a full load at low speeds [1]
In low speed control of permanent magnet synchronous motor, instead of utilizing the hybrid system technique to control the PMSM in a wide speed range, a simpler approach is used for the same purpose
This paper presents a new method that makes the Extended Kalman Filter (EKF) estimates very low speeds of PMSM fed by solar PV system
Summary
Permanent Magnet Synchronous Motor (PMSM) has been the most requested motor used in the field of electrical machines due to its many distinct advantages, such as high efficiency, superior performance, and the ability to operate with a full load at low speeds [1]. For that reason, controlling the PMSM drives without using position sensors turns into a prevalent research issue in the literature Many of these studies proposed observations to estimate the rotor position in the medium and high speeds, such as using the back ElectroMotive Force (BEMF) observers, Sliding Mode Observer (SMO) [2], and the Extended Kalman Filter (EKF) [3]. The injection will track the Saliency of the PMSMs by injecting high frequency voltage to the daxis current, which will cause vibration in the motor if the rotor position is not correctly estimated This method could cause an audible noise in the motor that may make it unsuitable in some applications [4]. The efficient operation of PV generator cannot be independently accomplished from the PMSM drive system and the operation of the overall system must be tested to demonstrate the reliability of the operation under a wide range of operating conditions
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