DC brush-less servo motor drive systems using automatic learning control-based auto gain parameter tuning scheme

In this paper, the authors describe an advanced control method of system parameter auto-tuning implementation for a DC brushless motor drive system using fuzzy reasoning logic with an automatic learning control function. This method includes three features: (i) it is not necessary to input some kind of fuzzy rule to the servo system before starting autotuning operation; thus fuzzy rules can be automatically produced in learning a logical process; (ii) no knowledge or information of system parameter tuning techniques are required; and (iii) both high speed response and robustness can be obtained. The feasible effectiveness of this auto-tuning processing approach for DC brushless servomotor drives are practically confirmed through experimental results.