A Fuzzy Logic Controller (FLC), with a Dynamically Focussed Learning (DFL) algorithm is proposed, developed and implemented to improve the performance of an induction motor drive system. In standard direct fuzzy controller, utilization of the rule-base is mostly poor, especially when error input gets smaller and the control action is produced by only a few rules in the center of the rule-base. With such a small number of rules, the fuzzy controller performs inadequately because the resulting control surface can capture very approximate control actions. This poor utilization of the rule-base may degrade the controller performance. A possible solution to this problem may be to redesign the rule-base such that the rule base has move rules at the center. However, this solution limits the ability of the controller to a limited input range and specific inputs. Instead, a DFL fuzzy controller is proposed, which ensures that the fuzzy controller can utilize the entire rule base by auto-tuning algorithm. Computer simulation and experimental results on a 5 hp induction machine are presented to substantiate the proposed scheme.
An induction motor drive system performance enhancement using dynamically focused learning fuzzy controller
01.01.2000
478045 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
British Library Conference Proceedings | 2000
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