Speed Sensorless Control of PMSM with Unscented Kalman Filter and Initial Rotor Alignment

Kyslan, Karol; Šlapák, Viktor; Petro, Viktor; Marcinek, Adrian; Ďurovský, František

doi:10.1109/edpe.2019.8883918

Cited by 7 publications

(2 citation statements)

References 16 publications

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“…PMSM has a constant magnetic flux so that the control system is more efficient designed using vector control techniques on the magnetic rotor. The PMSM motor dynamic system modeling with d-q coordinates is as follow [15],…”

Section: Modelling and Control System Of Pmsm Motormentioning

confidence: 99%

The Control of PMSM Motor to Drive Propeller in Ship Propulsion System

Jami'in

Rahmat

Nugroho

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Electric propulsion has advantages such as high maneuverability, good safety and reliability, being able to operate optimally with a control system. It is a future green technology which is environmentally friendly. The application of electric propulsion for ship is that the propeller is driven by using electric motor by regulating speed and/or torque. in this research, an permanent magnet synchronous motor (PMSM) is used to drive propeller of ship propulsion. The controller of proportional integral (PI) scheme is proposed to drive electric motor. The method of Ziegler Nichols stability margin tuning rule algorithm is performed to search the controller parameters. The optimal working point of propeller is determined by the cross intersection between the propeller loading curve to the coefficient of thrust curve of open water test propeller. The speed from the result of propeller working point analysis is set as control input reference. Based on the results of simulation, the proposed control of electric propulsion using PMSM motor is able to achieve the reference of speed.

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Section: Modelling and Control System Of Pmsm Motormentioning

confidence: 99%

The Control of PMSM Motor to Drive Propeller in Ship Propulsion System

Jami'in

Rahmat

Nugroho

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…There are several works and methods to implement the speed sensorless controller in the literature, these include; adaptive fuzzy robust control [4]; model reference adaptive system (MRAS) [5]; sliding mode observer [6], extended kalman filter [7]; direct torque control [8]; HFI methods [9], etc. Due to the problem at zero speed estimation for these methods which is based on the model-based techniques of the machine, the fundamental component model technique relies on the position and velocity dependency of the backelectromotive-force (back-EMF) [10] of the motor.…”

Section: Introductionmentioning

confidence: 99%

Hybrid sensorless control of PMSM in full speed range using HFI and back-EMF

Medjmadj

2023

Eng. rev. (Online)

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The permanent magnet synchronous motors (PMSM) are more and more used because of their high performance compared with other AC motors. The present paper proposes a hybrid controller which consists of a high frequency injection estimator and a back-electromotive-force observer in full speed range for the sensorless control of PMSM. The aim objective of the study to prevent speed overshot in startup time of the motor and provides a better dynamic response in transient and permanent states using this structure. A hybrid algorithm is applied to realize a smooth transition from low to high speed. At standstill and very low speed region, HF injection technique is used to detect the rotor initial position. In this first step study, the position estimation is derived from a HF current injection by using only one filter. When the rotor speed goes up to a certain value where back-EMF can provide adequate information, a back-EMF observer will dominate. Thanks to this structure, the mechanical sensor can be engaged using the best estimates and the developed control method is fast, simple, and flexible. The effectiveness, superiority, and performance of the proposed control method and extensive simulation results are provided on a 1 kW permanent magnet synchronous motor drive, demonstrating the expected performances.

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