Typhoon HIL Real-Time Validation of Permanent Magnet Synchronous Motor’s Control

2021 ◽  
Author(s):  
Tudor Moldovan ◽  
Razvan Inte ◽  
Raul-Octavian Nemes ◽  
Mircea Ruba ◽  
Claudia Martis
Keyword(s):  
Permanent Magnet ◽  
Real Time

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

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.

scholarly journals Predictive Trajectory Control with Online MTPA Calculation and Minimization of the Inner Torque Ripple for Permanent-Magnet Synchronous Machines

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5327
Author(s):  
Simon Decker ◽  
Matthias Brodatzki ◽  
Benjamin Bachowsky ◽  
Benedikt Schmitz-Rode ◽  
Andreas Liske ◽  
...  
Keyword(s):  
Permanent Magnet ◽  
Real Time ◽  
Control Period ◽  
Torque Ripple ◽  
Trajectory Control ◽  
Synchronous Machines ◽  
Permanent Magnet Synchronous Machines ◽  
Flux Linkage ◽  
Maximum Torque ◽  
Dynamic Operation

This paper presents an extended predictive trajectory control scheme combined with an inner torque ripple minimization considering the current-, flux-linkage-, and voltage-planes of permanent magnet synchronous machines. The extension of a fundamental machine model with flux-linkage harmonics allows the calculation of the inner torque ripple and enables its minimization. For this, the control is divided in two cases: (1) The dynamic operation or large signal behavior which uses the maximal torque gradient for the trajectory strategy during each control period for fastest dynamic operation, and (2) The stationary operation or small signal behavior, utilizing a real time capable polynomial approximation of the rotor position dependent torque hyperbolas (iso-torque curves) of permanent magnet synchronous machines for the ideal torque to current reference values. Since dynamic and steady-state operation is covered, torque to current look-up tables, such as maximum torque per ampere (MTPA)/maximum torque per volt/voltage (MTPV) look-up tables, are not required anymore. The introduced, new control approach is implemented in Matlab/Simulink based on finite element analysis and measured data. Furthermore, test-bench implementations based on measurement data are presented to show the real-time capability and precision.

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

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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