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This paper illustrates how Kalman filters were used in a model-based fault diagnosis of a DC-DC boost converter. A time-averaging model was used with the Kalman filters to generate residual signals. Multiple signature faults were developed in fault scenarios to identify critical variations in the elements of a power converter using the adaptive estimation technique. Results show a very precise and...
The reliability of the PMSM drives is the one of critical factors in several industries, in particularly, the areas where the precise operation and/or high performance are required. This paper proposes a novel diagnosis scheme using Extend Kalman Filter (EKF), especially, in subject to the open-phase faults of the inverter switches. The stator resistances of PMSM are estimated by the EKF in real time...
So as to reduce size, volume, weight and increase efficiency of power supplies for electrical sequential loads, authors propose to analyze functioning and disfunctioning of two converter topologies: inverter + power sharing system; matrix converter. A system with two electrical machines is analyzed through simulations from the control point of view and the design point of view considering over-current...
In this paper, an online fault diagnosis technique suitable for wind-based variable speed PM generators is proposed. This floating-space-vector technique is developed based upon space-vector concepts, and its mathematical formulation is elaborated in this paper. The technique is verified numerically as well as experimentally using a 7.2kW PM machine as a wind generator. The numerical model is based...
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