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Automatic learning control-based auto gain parameter tuning DC brushless servo motor drive systems

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5 Author(s)
Inoue, K. ; Dev. Lab. of New Products, Shinko Electr. Co. Ltd., Mie, Japan ; Yoshitsugu, J. ; Shirogane, S. ; Boyagoda, P.
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In this paper, the authors describe an advanced control method of system parameter auto-tuning implementation for brushless DC servomotors using fuzzy reasoning logic with an automatically learning control function. This method includes three features: (i) it is not necessary to input the same kinds of fuzzy rules to the servo system before starting auto-tuning operation-thus, fuzzy rules can be automatically produced in learning logical process; (ii) any knowledge and information about system parameter tuning techniques are not required; and (iii) both high speed response and robustness can be obtained. The feasible effectiveness of this auto-tuning processing approach for brushless DC servomotors are practically confirmed through experimental results

Published in:

Power Conversion Conference - Nagaoka 1997., Proceedings of the  (Volume:2 )

Date of Conference:

3-6 Aug 1997