Five phase multi-layer drive with fault tolerant neuro-fuzzy features for safety critical applications
作者： Alessio Di Tullio , Marco Tursini , Francesco Parasiliti , Kan Akatsu
DOI: 10.1109/ICEMS.2017.8056487
关键词:
摘要: This article presents a method for control of multiphase motor drive based on the use cognitive network that is capable modelling nonlinearities system in fault conditions. To obtain faithful model drive, neural (trained with results simulated faults) used algorithm order to predict performance and adapt control. A new variable characteristics, particularly suited applications which very wide variability speed range required, will be described presented its structure. The technique remedy failure adopted this characteristics. effectiveness lastly highlighted by simulations put it comparison classical solutions employ PID controllers.
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