Neuro-fuzzy DTC for an Electrical Drive System with Induction Motor. A SISO controller for the velocity loop
Journal Title: ANALELE UNIVERSITATII DIN CRAIOVA - Seria Inginerie electrica - Year 2013, Vol 37, Issue 37
Abstract
The paper presents some design aspects concerning the implementation of a neuro-fuzzy controller for the velocity loop of an electrical drive system with induction motor and a Direct Torque Control strategy. The approach is made comparatively with a similar control structure based on Field Oriented Control. The included results prove that even a quite simple structure for the fuzzy controller (Single Input - Single Output) is able to ensure a good global behavior of the system. Different parameters and operation conditions are analyzed in term of the gains for a fuzzy - continuous controller embedded into a control strategy having a quasi-discrete character by the choice of the vector control from a finite sectors number. The design of the fuzzy controller is performed by training a neural network by means of the ANFIS algorithm. Several aspects concerning the most relevant reference speed profile, the input – output acquisition data for the training, the neural network as well as the parameters associated with the training process are considered. A possible better approach, considering the speed error variation as the second input for the fuzzy controller does not necessarily improve the quality of the results when the same design procedure is put into operation.
Authors and Affiliations
Dan Mihai
Keywords
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- EP ID EP162404
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