Axial split-phase magnetic suspension flywheel motor suspension force numerical modeling method

A flywheel motor, axial phase separation technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of neural network operation time increase, input dimension increase, operation waste and other problems

Pending Publication Date: 2019-07-26
NANJING INST OF TECH
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Problems solved by technology

At present, many scholars try to use extreme learning machines in the prediction research of nonlinear models, but there are still the following main problems: First, when the correlation between input variables is strong, unnecessary input dimensions will be added, which will Not only will it lead to a rapid increase in the calculation time of the neural netwo

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  • Axial split-phase magnetic suspension flywheel motor suspension force numerical modeling method
  • Axial split-phase magnetic suspension flywheel motor suspension force numerical modeling method
  • Axial split-phase magnetic suspension flywheel motor suspension force numerical modeling method

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[0071] In the following, the present invention will be further clarified with reference to the accompanying drawings and specific embodiments. It should be understood that these examples are only used to illustrate the present invention and not to limit the scope of the present invention. After reading the present invention, those skilled in the art will understand various aspects of the present invention. Modifications of the price form fall within the scope defined by the appended claims of this application.

[0072] A numerical modeling method for the levitation force of an axial split-phase magnetic levitation flywheel motor, such as figure 1 , 2 As shown, including the following steps:

[0073] Step 1: Build a finite element simulation and experimental prototype model of the motor, and analyze the suspension force characteristics of the motor under different operating conditions and working modes.

[0074] Step 1-1: According to the optimization design method proposed by the in...

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Abstract

The invention discloses an axial split-phase magnetic suspension flywheel motor suspension force numerical modeling method. The method comprises the steps of simulation and experiment design, sample collection and processing, model offline training and model online optimization. On one hand, the extreme learning machine based on principal component analysis is used for improving the adaptability and robustness of the model to parameter changes, rapid and accurate modeling of small sample data is achieved, and the precision and speed of the suspension force model are improved. On the other hand, a differential evolution algorithm is introduced to optimize the network structure, so that the built model can meet the precision requirement and the real-time control requirement, the problems oftoo many hidden layer neurons and huge network structure are avoided, the calculation speed of the model is increased, and the model is more suitable for modeling of such motors.

Description

technical field [0001] The invention discloses a numerical modeling method for the levitation force of an axially separated phase-separated magnetic levitation flywheel motor, which belongs to the technical field of the magnetic levitation flywheel motor. Background technique [0002] The flywheel energy storage system is a physical energy storage device for electromechanical energy conversion. It has the advantages of large specific power, small size, long life, fast charging and discharging, clean and pollution-free, etc. It is a new type of energy storage with high research value and broad application prospects. technology. On the basis of fully retaining the high-speed and excellent characteristics of the switched reluctance motor, the axial split-phase magnetic levitation flywheel motor further improves the high-speed performance and operating efficiency of the motor through the active control of its own levitation force. Introducing it into the flywheel energy storage...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/23G06F30/17G06F2111/10Y02E60/16
Inventor 朱志莹朱金孙玉坤郭旋姚郅勋孟高军
Owner NANJING INST OF TECH
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