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

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