Advanced auto-tuning implementation for DC brushless servo motor drive system with learning algorithm-based fuzzy reasoning scheme

In this paper, the authors describe an advanced control method which incorporates an advanced system of auto-tuning implementation for AC servo system fuzzy reasoning logic with automatically-produced learning control functions. This method has three unique features: (i) it is not necessary to input the fuzzy rules to the AC servo system before starting auto-tuning operation; thus, the fuzzy rules can be automatically produced in the learning process; (ii) any knowledge of system parameter tuning techniques are not required; (iii) and high speed response and robustness can be derived from a method to estimate load parameters. The effectivenesses and feasibility of this method are practically confirmed through experimental results.