scholarly journals Adaptive Maximum Torque per Ampere Control of Sensorless Permanent Magnet Motor Drives

Energies ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 5071
Author(s):  
Anton Dianov ◽  
Alecksey Anuchin

Interior permanent magnet synchronous motor (IPMSM) efficiency can be improved by using maximum torque per ampere control (MTPA). MTPA control utilizes both alignment and reluctance torques and usually requires information about the magnetization map of the electrical machine. This paper proposes an adaptive MTPA algorithm for sensorless control systems of IPMSM drives, which is applicable in industrial and commercial drives. This algorithm enhances conventional control schemes, where the output of the speed controller is the commanded stator current and the direct current is calculated using an MTPA equation; therefore, it can be easily implemented in the previously developed drives. The proposed algorithm does not use any motor parameters for the calculation of the MTPA trajectory, which is important for systems operating in changing environmental conditions, because motor inductances and flux linkage strongly depend on the stator current and the rotor temperature, respectively. The proposed algorithm continuously varies the current phase and in such a way it tries to minimize the magnitude of the stator current at the applied load torque. The main contribution of this paper is the development of a technique to overcome the main disadvantage of seeking algorithms–the necessity of a precision information about the rotor position. The proposed method was verified experimentally.

Electronics ◽  
2018 ◽  
Vol 7 (12) ◽  
pp. 452 ◽  
Author(s):  
Ming-Shyan Wang ◽  
Min-Fu Hsieh ◽  
and Hsin-Yu Lin

This paper considers the fuzzy control design of maximum torque per ampere (MTPA) and maximum torque per voltage (MTPV) for the interior permanent magnet synchronous motor (IPMSM) control system that is capable of reducing computation burden, improving torque output, and widening the speed range. In the entire motor speed range, three control methods, i.e., the MTPA, flux weakening, and MTPV methods may be applied depending on current and voltage statuses. The simulation using MATLAB/Simulink is first conducted and then in order to speed up the development, hardware-in-the-loop (HIL) is adopted to verify the effectiveness of the proposed fuzzy MTPA and MTPV control for the IPMSM system.


Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 346
Author(s):  
Faa-Jeng Lin ◽  
Yi-Hung Liao ◽  
Jyun-Ru Lin ◽  
Wei-Ting Lin

An interior permanent magnet synchronous motor (IPMSM) drive system with machine learning-based maximum torque per ampere (MTPA) as well as flux-weakening (FW) control was developed and is presented in this study. Since the control performance of IPMSM varies significantly due to the temperature variation and magnetic saturation, a machine learning-based MTPA control using a Petri probabilistic fuzzy neural network with an asymmetric membership function (PPFNN-AMF) was developed. First, the d-axis current command, which can achieve the MTPA control of the IPMSM, is derived. Then, the difference value of the dq-axis inductance of the IPMSM is obtained by the PPFNN-AMF and substituted into the d-axis current command of the MTPA to alleviate the saturation effect in the constant torque region. Moreover, a voltage control loop, which can limit the inverter output voltage to the maximum output voltage of the inverter at high-speed, is designed for the FW control in the constant power region. In addition, an adaptive complementary sliding mode (ACSM) speed controller is developed to improve the transient response of the speed control. Finally, some experimental results are given to demonstrate the validity of the proposed high-performance control strategies.


2014 ◽  
Vol 11 (2) ◽  
pp. 257-268 ◽  
Author(s):  
Marko Gecic ◽  
Darko Marcetic ◽  
Veran Vasic ◽  
Igor Krcmar ◽  
Petar Matic

This paper investigates the possibility of energy efficiency increase in the drives with high speed permanent magnet synchronous motors. The losses are decreased by the proposed procedure, i.e. proper allocation of the available stator current capacity to the direct and quadrature current components. The approach provides increased energy efficiency by varying the ratio between copper and iron losses.


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