High performance BLDC motor design and adaptive control with real-time estimation of uncertainties

This paper presents the research work on a permanent magnet brushless DC motor and its adaptive controller design on a high speed, high performance application. FEA has been used for the motor design and optimization. The motor is prototyped, assembled and tested. Torque-speed curve measured from dy...

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Bibliographic Details
Main Authors: Yufang Jin, Zhangjun Tang
Format: Conference Proceeding
Language:English
Subjects:
Adaptive control
Assembly
Brushless DC motors
DC motors
Design optimization
Permanent magnet motors
Programmable control
Prototypes
Testing
Uncertainty
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Summary:This paper presents the research work on a permanent magnet brushless DC motor and its adaptive controller design on a high speed, high performance application. FEA has been used for the motor design and optimization. The motor is prototyped, assembled and tested. Torque-speed curve measured from dynamometer tests is used to verify the FE results. A newly developed nonlinear adaptive controller is designed with real time estimation of uncertainties, such as load torque and viscous friction, while driving the motor to a known speed profile. Virtual control is identified and asymptotic stability proof is conducted with Lyapunov argument.
DOI:10.1109/ICEMS.2005.202516