Position Estimation Method on Salient-Pole Permanent-Magnet Synchronous Motor Using High-Frequency Current Correlated Signals

To improve the operating performance of electric propulsion ships, the permanent magnet synchronous motor is commonly used as the propulsion motor. Additionally, position estimation without sensors can further improve the application range of the propulsion motor and the estimated results can represent the redundancy of measured values from mechanical sensors. In this paper, the high-frequency (HF) injection algorithm combined with the second-order generalized integrator (SOGI) is presented on the basis of analyzing the structure of the electric propulsion ship and the vector control of the motors. The position and rotor speed were estimated accurately by the approximate calculation of q-axis currents directly related to the rotor position. Moreover, the harmonics in the estimated position were effectively reduced by the introduction of the second-order generalized integrator. Then, the rotor position estimation algorithm was verified in MATLAB/Simulink by choosing different low speeds including speed reversal, increasing speed, and increasing load torque. Finally, the correctness of the proposed improved high-frequency injection algorithm based on the second-order generalized integrator was verified by the experimental propulsion permanent magnet synchronous motor (PMSM) system at low speed.

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Research on sensorless control method of permanent magnet synchronous motor based on iterated cubature Kalman filter

Science Progress ◽

10.1177/0036850419890272 ◽

2019 ◽

Vol 103 (1) ◽

pp. 003685041989027

Author(s):

Shi Peicheng ◽

Wang Chen ◽

Zhang Rongyun ◽

Wang Suo

Keyword(s):

Kalman Filter ◽

Permanent Magnet ◽

Sensorless Control ◽

Permanent Magnet Synchronous Motor ◽

Estimation Method ◽

Synchronous Motor ◽

Position Estimation ◽

Motor Speed ◽

Rotor Position ◽

Cubature Kalman Filter

Aiming at the problems of high cost, increased volume, low reliability, and environmental interference caused by sensor installation on permanent magnet synchronous motor, estimation method for motor speed and rotor position is proposed based on iterated cubature Kalman filter algorithm and applied to permanent magnet synchronous motor sensorless control. First, discrete mathematical model of permanent magnet synchronous motor in α-β coordinate system is established. Then, based on cubature Kalman filter and iterated cubature Kalman filter, simulation model of sensorless vector control system with dual closed-loop of permanent magnet synchronous motor speed and current is established. Also, simulation verification of two working conditions with given rotation speed and load is carried out. Finally, hardware experimental verification platform is built based on TMS320F28335 chip. Both simulation analysis and experimental results show that iterated cubature Kalman filter application to sensorless control of permanent magnet synchronous motor demonstrates good anti-load variation interference, stable motor operation, high motor speed and rotor position estimation accuracy, which suits the application with high requirement for precise motor control and mean important reference value and promotion significance.

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A rotor initial position estimation method for sensorless field-oriented control of permanent magnet synchronous motor

Transactions of the Institute of Measurement and Control ◽

10.1177/0142331217744848 ◽

2018 ◽

Vol 40 (15) ◽

pp. 4198-4207 ◽

Cited By ~ 2

Author(s):

Oussama Saadaoui ◽

Amor Khlaief ◽

Moez Abassi ◽

Abdelkader Chaari ◽

Mohamed Boussak

Keyword(s):

Permanent Magnet ◽

Pulse Sequence ◽

Permanent Magnet Synchronous Motor ◽

Estimation Method ◽

Synchronous Motor ◽

Position Estimation ◽

Field Oriented Control ◽

Low Speed ◽

Rotor Position ◽

Position Detection

In this paper, a new technique to improve initial rotor position detection at standstill of a permanent magnet synchronous motor (PMSM) is presented. Sensorless field-oriented control (FOC) of a PMSM at low speed remains a difficult task. In order to estimate the position and rotor speed, we proposed a novel structure of a full-order sliding mode observer (FO-SMO) in a sensorless FOC. At standstill, we used a voltage pulse sequence applied to the windings in order to detect the initial rotor position. With this technique, we managed to minimize the error on the estimated rotor position to 3.75° (electrical) compared with others. The validity of the proposed approach with a 1.1-kW low-speed PMSM sensorless FOC has been proved by experimental results.

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