AC servo motor drive systems using auto-tuning gain parameter processor with automatic learning control scheme

K. Inoue, Junnji Yoshitugu, S. Shirogane, P. Boyagoda, M. Nakaoka
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引用次数: 1

Abstract

In this paper, an advanced control method of system parameter auto-tuning implementation for an AC servo system using fuzzy reasoning logic with an automatic learning control function is described. 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 logical process learning; (ii) knowledge and information about the system parameter tuning technique are not required; and (iii) both high speed response and robustness can be obtained. The feasible effectiveness of this auto-tuning processing approach for an AC servo system are practically confirmed through experimental results.
交流伺服电机驱动系统采用自整定增益参数处理器与自动学习控制方案
本文介绍了一种利用模糊推理逻辑实现具有自动学习控制功能的交流伺服系统参数自整定的高级控制方法。该方法具有三个特点:(1)在开始自整定操作之前,不需要向伺服系统输入各种模糊规则,从而可以在逻辑过程学习中自动生成模糊规则;(ii)不需要有关系统参数调整技术的知识和资料;(3)既能获得高速响应,又能获得鲁棒性。实验结果验证了该自整定处理方法在交流伺服系统中的可行性和有效性。
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