Using the Stator Current Ripple Model for Real-Time Estimation of Full Parameters of a Permanent Magnet Synchronous Motor

In this work, the direct torque control (DTC) is applied to the five-phase permanent magnet synchronous motor (FP-PMSM). The DTC method based on classical space vector pulse width modulation (SVPWM) is a common solution used to overcome traditional problems; such as stator flux ripple, electromagnetic torque ripple and gives more total harmonic distortion (THD) of the stator current. The actual paper is based on improving the performance of DTC-SVPWM by using the feedforward neural networks (FNNs) instead of the proportional-integral (PI) regulators and hysteresis comparators (HCs) of the conventional SVPWM strategy. This algorithm can solve the traditional PI regulators and HCs problems which are represented in responses dynamic and reduce the torque ripple, flux ripple, and the THD of stator current of FP-PMSM drives. The proposed strategy was tested in different tests with simulation using Matlab software.

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Direct torque control of permanent magnet synchronous motor using real-time simulator with FEA based motor model

2015 17th European Conference on Power Electronics and Applications (EPE'15 ECCE-Europe) ◽

10.1109/epe.2015.7309273 ◽

2015 ◽

Cited By ~ 2

Author(s):

Ryo Tanabe ◽

Kan Akatsu

Keyword(s):

Permanent Magnet ◽

Real Time ◽

Permanent Magnet Synchronous Motor ◽

Direct Torque Control ◽

Synchronous Motor ◽

Torque Control ◽

Motor Model

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A computationally efficient torque and flux ripple reduction by active vector optimization approach using direct torque control–based model predictive torque control for matrix converter–fed permanent magnet synchronous motor

Transactions of the Institute of Measurement and Control ◽

10.1177/01423312211068811 ◽

2022 ◽

pp. 014233122110688

Author(s):

JD Anunciya ◽

Arumugam Sivaprakasam

Keyword(s):

Permanent Magnet ◽

Real Time ◽

Permanent Magnet Synchronous Motor ◽

Direct Torque Control ◽

Synchronous Motor ◽

Matrix Converter ◽

Torque Control ◽

Optimization Approach ◽

The Real ◽

The Matrix

The Matrix Converter–fed Finite Control Set–Model Predictive Control is an efficient drive control approach that exhibits numerous advantageous features. However, it is computationally expensive as it employs all the available matrix converter voltage vectors for the prediction and estimation. The computational complexity increases further with respect to the inclusion of additional control objectives in the cost function which degrades the potentiality of this technique. This paper proposes two computationally effective switching tables for simplifying the calculation process and optimizing the matrix converter active prediction vectors. Here, three prediction active vectors are selected out of 18 vectors by considering the torque and flux errors of the permanent magnet synchronous motor. In addition, the voltage vector location segments are modified into 12 sectors to boost the torque dynamic control. The performance superiority of the proposed concept is analyzed using the MATLAB/Simulink software and the real-time validation is conducted by implementing in the real-time OPAL-RT lab setup.

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Improved Finite Control Set Model Predictive Control for Permanent Magnet Synchronous Motor Drives with Current Ripple Minimization

2019 IEEE Energy Conversion Congress and Exposition (ECCE) ◽

10.1109/ecce.2019.8912723 ◽

2019 ◽

Author(s):

Guanghan Zhao ◽

Shamsuddeen Nalakath ◽

Ali Emadi

Keyword(s):

Model Predictive Control ◽

Permanent Magnet ◽

Predictive Control ◽

Permanent Magnet Synchronous Motor ◽

Synchronous Motor ◽

Motor Drives ◽

Finite Control ◽

Control Set ◽

Synchronous Motor Drives ◽

Current Ripple

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Rotor Temperature Safety Prediction Method of PMSM for Electric Vehicle on Real-Time Energy Equivalence

Mathematical Problems in Engineering ◽

10.1155/2020/3213052 ◽

2020 ◽

Vol 2020 ◽

pp. 1-10

Author(s):

Anjian Zhou ◽

Changhong Du ◽

Zhiyuan Peng ◽

Qianlei Peng ◽

Datong Qin

Keyword(s):

Permanent Magnet ◽

Real Time ◽

Electric Vehicle ◽

Load Capacity ◽

Estimation Error ◽

Permanent Magnet Synchronous Motor ◽

Prediction Method ◽

Time Algorithm ◽

Synchronous Motor ◽

Thermal Safety

The load capacity of the permanent magnet synchronous motor is limited by the rotor temperature, and the excessive temperature of the rotor will bring potential thermal safety problems of the system. Therefore, the accurate prediction of the rotor temperature of the permanent magnet synchronous motor for the electric vehicle is crucial to improve the motor performance and system operation safety. This paper studied the heating mechanism and the energy flow path of the motor and built the heat energy conversion model of the stator and rotor. The real-time algorithm to predict the rotor temperature was constructed based on the dissipative energy conservation of the stator of the motor rotor temperature. And the prediction method of the initial rotor temperature is fitted using the experimental results when the system is powered on. Finally, the test platform was set up to validate the rotor temperature accuracy. The results show that the motor rotor temperature estimation error under the dynamic operating condition is within ±5. The research provides a solution to improve the performance and thermal safety of the permanent magnet synchronous motor for electric vehicles.

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