RFNN controlled sensorless induction spindle motor drive |
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Authors: | Faa-Jeng Lin Dong-Hai Wang Po-Kai Huang |
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Affiliation: | Department of Electrical Engineering, National Dong Hwa University, Hualien 974, Taiwan |
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Abstract: | A sensorless induction spindle motor drive using synchronous PWM (SPWM) and dead-time compensator with recurrent fuzzy-neural network (RFNN) speed controller is proposed in this study for advanced spindle motor applications. First, the operating principles of a new type SPWM technique and the circuit of dead-time compensator using field-programmable gate arrays (FPGA) are described. Then, a speed observer based on a modified Luenberger observer is adopted to estimate the rotor speed. Moreover, since the control characteristics and motor parameters for a high-speed induction spindle motor drive are time-varying, an RFNN speed controller is developed to reduce the influence of parameter uncertainties and external disturbances. In addition, the RFNN is trained on-line using a delta adaptation law. Finally, the performance of the proposed sensorless induction spindle motor drive system is demonstrated using some simulated and experimental results. |
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Keywords: | Author Keywords: RFNN speed controller Field-programmable gate arrays Dead-time compensator |
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