Autotuning gain parameter implementation with fuzzy learning control scheme for DC brushless servo system

Deals with an advanced control method of system gain parameter autotuning implementation for a DC brushless servo drive system. Which is based on a fuzzy reasoning logic with an automatically processed learning control strategy. In the learning operation, fuzzy rules are generated automatically so as to be suitable for unknown mechanical load which is linked to a servo motor shaft and memorised in a database. As a result, the performance in the gain parameter autotuning scheme is improved in accordance with increasing the number of learning operations. The feasibility effectiveness of the practical application for this autotuning procedure in DC brushless servo drive systems is confirmed on the basis of experimental results