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The permanent magnet synchronous motor (PMSM) drive system using adaptive backstepping fuzzy neural network (ABFNN) control is investigated for the tracking of periodic reference inputs. First, the field-oriented mechanism is applied to formulate the dynamic equation of the PMSM servo drive. Then, an adaptive backstepping approach is proposed to compensate the uncertainties in the motion control system...
This paper presents the design and application of the fuzzy logic and the sliding mode controls associated with field oriented control in order to obtain a high precision positioning of a six phases induction machine (6PIM). The two techniques are first presented. Then, to validate experimentally the efficiency of the two methods, an advanced test bed is used.
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