Fuzzy Neural Network Applied in Sensorless BLDC Motor Control Based on MC56F8013
This paper describes Freescale company’s DSP device MC56F8013 implementation of a control method for sensorless BLDC motor, which is according to fuzzy neural network. The inductance of stator core varies according to the variation of rotor position, and the rotor position can be estimated with the variation of current response caused by six direction voltage vectors. Then use fuzzy neural network PI control method to optimize the dynamic performance, accelerate the rotor to a certain speed, and switch to EMF mode. The experiment results show that the proposed method can have fast response, strong robustness and superior performances.
Helen Zhang and David Jin
L. H. Wang et al., "Fuzzy Neural Network Applied in Sensorless BLDC Motor Control Based on MC56F8013", Applied Mechanics and Materials, Vols. 63-64, pp. 841-845, 2011