Auto-tuning method for AC servo system with fuzzy learning control by automatically generated rules

This paper describes 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: 1) it is not necessary to input some kinds of fuzzy rules to the servo system before starting auto-tuning operation. thus fuzzy rules can be automatically produced in the learning logical process; 2) any knowledge and information about the system parameter tuning technique are not required; and 3) both high speed response and robustness can be obtained. The feasible effectiveness of this auto-tuning processing approach for the AC servo system are practically confirmed through experimental results