AC Servo motor drive systems using auto-tuning gain parameter processor with automatic learning control scheme
被引:0
作者:
Inoue, K
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机构:
Shinko Elect Co Ltd, Dev Lab New Prod, Nagano, Mie, JapanShinko Elect Co Ltd, Dev Lab New Prod, Nagano, Mie, Japan
Inoue, K
[1
]
Yoshitugu, J
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机构:
Shinko Elect Co Ltd, Dev Lab New Prod, Nagano, Mie, JapanShinko Elect Co Ltd, Dev Lab New Prod, Nagano, Mie, Japan
Yoshitugu, J
[1
]
Shirogane, S
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机构:
Shinko Elect Co Ltd, Dev Lab New Prod, Nagano, Mie, JapanShinko Elect Co Ltd, Dev Lab New Prod, Nagano, Mie, Japan
Shirogane, S
[1
]
Boyagoda, P
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机构:
Shinko Elect Co Ltd, Dev Lab New Prod, Nagano, Mie, JapanShinko Elect Co Ltd, Dev Lab New Prod, Nagano, Mie, Japan
Boyagoda, P
[1
]
Nakaoka, M
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机构:
Shinko Elect Co Ltd, Dev Lab New Prod, Nagano, Mie, JapanShinko Elect Co Ltd, Dev Lab New Prod, Nagano, Mie, Japan
Nakaoka, M
[1
]
机构:
[1] Shinko Elect Co Ltd, Dev Lab New Prod, Nagano, Mie, Japan
来源:
ISIE '97 - PROCEEDINGS OF THE IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, VOLS 1-3
|
1997年
关键词:
D O I:
10.1109/ISIE.1997.648871
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
In this paper, described is an advanced control method of system parameter auto-tuning implementation for AC servo system using fuzzy reasoning logic with automatically learning control function. This method includes three features; (i) It is not necessary to input some kinds of fuzzy rules to the servo system before starting auto-tuning operation. Thus, the fuzzy rules can be automatically produced in learning logical process. (ii) Any knowledge and information about system parameter tuning technique are not required. (iii) Both high speed response and robustness carl be obtained. The feasible effectiveness of this auto-tuning processing approach for AC servo system are practically confirmed through experimental results.