DSP-based adaptive control of a brushless motor

Abstract
The software control of a brushless DC motor with parameter identification is presented. Not only speed and current controls but also a real-time identification of the motor parameters can be implemented by software using the digital signal processor (DSP) TMS320C25. The unique current control is performed according to an instantaneous voltage equation of a d-q model of the motor. Because the control accuracy of the proposed system depends on the motor parameters, parameter identification in regard to armature inductance and EMF constant is necessary. The identification algorithm has been verified by both simulations and experiments. The control program, including parameter identification, is of 2.5 K words, and the processing time is 99 mu s.

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