This work is a study of intelligent tools for forecasting losses in the transformer core, comparing with the traditionally accepted model. The uses of Artificial eural etworks (A ) search a best estimator of losses in the transformer core. Two models of A were proposed: Multi-Layer Percepton (MLP) and eo-Fuzzy euron ( F ). After an analysis of the model they were evaluated and it was concluded that the MLP model for this application had the best performance.
Abstract:The permanent magnet (PM) spherical motor has been subject to growing interest from the scientific community due to its potential for applications in distinct areas, particularly in robotics, prosthetics, satellite control, sensors or camera systems. Motivated by this movement, the current work presents all the steps for the efficient design and construction of a spherical motor model, using compound deposition technology with the aid of a 3D printer. Furthermore, we report comprehensive studies on the accuracy of the positioning system of the proposed motor using only three stator coils, which jointly act to move the rotor axis toward any point in the hemisphere. Unmodeled nonlinear phenomena, such as friction, impair accurate positioning of the motor actuator, but this is solved by means of a visual servo control system, which allows the user to collect input-output data to train an artificial neural network model. Details on the construction of the proposed motor are reported, in addition to the numerical results of the positioning control in tracking a desired trajectory.
This paper presents a new topology of an actuator which allows the precise control of the angular position. The proposed system is known as 3-DOF (Three Degrees of Freedom) Spherical Actuator. This actuator can be applied to a robotic eye or joints, as it has 3-DOF in a single block. Such spherical actuator is different among others publications, since it has only three coils, which simplify its construction. The actuator work s injecting different currents values (i 1 , i 2 , i 3 ) in each coil, then the generated resultant magnetic field can be positioned at any point of a hemisphere by controlling the currents intensities. The rotor is a spherical shell with a NdFeB permanent magnet inside it. The rotor magnet attempts to align with the resultant magnetic field which was produced by the coils and then rotating movement can be carried out just changing the drive sequence of the coils. Moreover, one mini-camera is attached at the spherical shell to emulate the human eye movement. As result, this paper deals with the design of a spherical actuator with a reduced number of coils, which can be positioned everywhere at the top of a hemisphere.
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