首页|Start-up current adaptive control for sensorless high-speed brushless DC motors based on inverse system method and internal mode controller

Start-up current adaptive control for sensorless high-speed brushless DC motors based on inverse system method and internal mode controller

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The start-up current control of the high-speed brushless DC (HS-BLDC) motor is a chal-lenging research topic. To effectively control the start-up current of the sensorless HS-BLDC motor, an adaptive control method is proposed based on the adaptive neural network (ANN) inverse system and the two degrees of freedom (2-DOF) internal model controller (IMC). The HS-BLDC motor is identified by the online least squares support vector machine (OLS-SVM) algo-rithm to regulate the ANN inverse controller parameters in real time. A pseudo linear system is developed by introducing the constructed real-time inverse system into the original HS-BLDC motor system. Based on the characteristics of the pseudo linear system, an extra closed-loop feed-back control strategy based on the 2-DOF IMC is proposed to improve the transient response per-formance and enhance the stability of the control system. The simulation and experimental results show that the proposed control method is effective and perfect start-up current tracking perfor-mance is achieved.

Adaptive controlBrushless DC motorsInverse systemsInternal model controllerNeural networksStart-upSupport vector machines

He Yanzhao、Zheng Shiqiang、Fang Jiancheng

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School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100083, China

Beijing Engineering Research Center of High-Speed Magnetically Suspended Motor Technology and Application, Beijing 100083, China

This study was co-supported by the National Major Project for the Development and Application of Scientific Instrument Equipment

2012YQ040235

2017

中国航空学报(英文版)
中国航空学会

中国航空学报(英文版)

CSTPCDCSCDSCIEI
影响因子：0.847
ISSN：1000-9361
年,卷(期)：2017.30(1)
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