Optimization method of magnetostatic simulation model of electromagnetic actuator
A technology of electromagnetic actuators and simulation models, applied in design optimization/simulation, instruments, electrical digital data processing, etc., can solve problems such as large errors
Inactive Publication Date: 2021-12-10
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology
However, due to the inherent hysteresis of magnetic materials, using a single original basic magnetization curve or initial magnetization curve to describe the magnetization process of magnetic materials will bring large errors in numerical modeling of electromagnetic actuators
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[0066] Apparently, the embodiments described below are some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0067] Such as figure 1 As shown, the method provided in this embodiment includes the following steps.
[0068] The first step is to determine the actual electromagnetic force of the electromagnetic actuator based on the static characteristic test, establish a static magneto simulation model based on the finite element analysis software, and obtain the simulated electromagnetic force of the electromagnetic actuator through simulation analysis.
[0069] Such as figure 2 As shown, the electromagnetic actuator includes an actuator housing 1, a proportional electromagnet housing 2, a proportional electromagnet armature 3, a coil bobbin 4, a coil 5, a return sprin...
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The invention provides an optimization method of a magnetostatic simulation model of an electromagnetic actuator, the method comprises the following steps: determining an actual electromagnetic force of the electromagnetic actuator based on a static characteristic test, establishing a magnetostatic simulation model based on finite element analysis software, and performing simulation analysis to obtain a simulated electromagnetic force of the electromagnetic actuator; comparing the actual electromagnetic force and the simulated electromagnetic force of the electromagnetic actuator, and performing error analysis, wherein factors generating errors comprise the difference between the simulated magnetization curve and the actual magnetization curve; primarily selecting calibration parameters, reconstructing a model magnetization curve, and enabling the model magnetization curve to approach an actual magnetization curve; importing the reconstructed model magnetization curve into a magnetostatic simulation model, constructing a response surface model between simulated electromagnetic force and calibration parameters, verifying precision, and determining a calibration mathematical model based on the response surface model; iteratively solving the calibration mathematical model, comparing the results, and determining final calibration parameters are. The model magnetization curve approaches the actual whole magnetization process, and the simulation precision of the magnetostatic simulation model is improved.
Description
technical field [0001] The invention belongs to the field of optimization design of an electromagnetic actuator, and in particular relates to an optimization method of a static magneto simulation model of an electromagnetic actuator. Background technique [0002] As an automatic control element, the moving iron proportional electromagnetic actuator is widely used because of its simple structure, large driving force and low price. Since the change of the coil current of the moving iron proportional electromagnetic actuator is proportional to the output driving force, the precise control of the external driving force and the displacement of the controlled object can be realized by controlling the coil control current signal. Numerical simulation is an important means of developing and designing high-performance moving iron proportional electromagnetic actuators, and a high-precision numerical simulation model is a prerequisite for numerical analysis and optimal design. [000...
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IPC IPC(8): G06F30/23G06F17/18G06F119/14
CPCG06F30/23G06F17/18G06F2119/14
Inventor 刘鹏欧阳宇文张如琴涂洪涛吴钢胡林
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY