Intelligent Efficient Control for Brushless Doubly-Fed Induction Machines

被引：0

作者：

Mosaddegh-Hesar, Hamidreza ^{[1
]}

Liang, Xiaodong ^{[1
]}

Zarchi, Hossein Abootorabi ^{[2
]}

Khoshhava, Mojtaba Ayaz ^{[3
]}

Khazaee, Amir ^{[4
]}

机构：

[1] Univ Saskatchewan, Dept Elect & Comp Engn, Saskatoon, SK S7N 5A9, Canada

[2] Ferdowsi Univ Mashhad, Fac Engn, Dept Elect Engn, Mashhad 9177948974, Iran

[3] Ecole Technol Super ETS, Dept Elect Engn, Montreal, PQ H3C 1K3, Canada

[4] Toronto Metropolitan Univ, Dept Elect & Comp Engn, Toronto, ON M5B 2K3, Canada

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2024年 / 71卷 / 12期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Brushless doubly-fed induction machine (BDFIM); flux; intelligent controller; the maximum torque per ampere (MTPA); CONTROL SCHEME; SPEED CONTROL; MOTOR;

D O I：

10.1109/TIE.2024.3398669

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this article, a novel high-efficient control based on brain emotional learning for a brushless doubly-fed induction machine (BDFIM) drive is proposed without requiring a detailed machine model. The step change of the control winding (CW) flux for a given torque and speed is the basis of the proposed controller. The control algorithm detects a steady-state condition by monitoring the speed continuously and then adjusts the CW reference flux's magnitude to determine the minimum total stator current. The stator current is the sum of the current magnitudes at power and control windings of a BDFIM. This model-free intelligent controller has a simple structure and is independent of the machine parameters and robust to disturbances. The proposed control scheme is assessed by a TMS320F2833 microcontroller synchronized with a personal computer for a 3-kW prototype D132s-BDFIM.

引用

页码：15509 / 15520

页数：12

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