Jiles-Atherton model parameter identification method and device

Abstract

The invention discloses a Jiles-Atherton model parameter identification method and device. The Jiles-Atherton model parameter identification method and device solve the technical problems that in theprocess of dealing with multi-objective complex optimization problems of J-A models, because monotonous intelligent optimization methods often have obvious defects and are not conductive to obtainingaccurate global optimal solutions, large-scale search is difficult, and meanwhile, it is difficult to obtain more precise results in the optimization process in the later stage. The method comprises the steps of establishing a magnetic hysteresis loop model of a Jiles-Atherton transformer, and obtaining a formula of the magnetic hysteresis loop model of the Jiles-Atherton transformer; receiving apredetermined value range of parameters of the magnetic hysteresis loop model of the Jiles-Atherton transformer, and obtaining a target function corresponding to the formula of the magnetic hysteresisloop model of the Jiles-Atherton transformer; executing a variable step length artificial fish school algorithm on initial values of the model parameters and an initial value of the target function within the value range for optimizing the target function to obtain a global optimal solution according to the target function; conducting a parallel simulation annealing algorithm on the global optimal solution to continue to optimize the target function, and obtaining values of the model parameters corresponding to the optimal value of the target function.

Description

technical field [0001] The invention relates to the field of electrotechnical technology, in particular to a Jiles-Atherton model parameter identification method and device. Background technique [0002] Electromagnetic transformers are mostly made of nonlinear ferromagnetic materials. Theoretical models describing hysteresis include Lucas, Jiles–Atherton model (J-A model for short), etc., among which the J-A model is widely used because of its fewer parameters and easy implementation. In the hysteresis modeling and simulation of ferromagnetic materials, the model has a clear physical meaning and can truly describe the nonlinear relationship of B-H. By solving the J-A model equation, a more accurate B-H hysteresis loop can be obtained. [0003] Parameter identification is often used in occasions where it is difficult to obtain parameters directly, that is, the fitting parameters are used to approximate the theoretical parameters. If the error is small enough, the fitting par...

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Problems solved by technology

[0005] The present invention provides a Jiles-Atherton model parameter identification method and device, which solves the multi-objective complex optimization problem of the J-A model. A single intelligent optimization method often has significant defects, which is not conducive to obtaining an accurate global optimum solution, resulting in the difficulty of performing a large-scale search and at the same time, it is difficult to obtain more accurate results in the later optimization process.

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