Modeling method of soft measuring instrument for magnetic chain of bearingless asynchronous motor

A technology of asynchronous motor and modeling method, which is applied in the direction of instruments, electrical digital data processing, special data processing applications, etc., can solve the problems of difficult real-time measurement of flux linkage, etc., and achieve the effect of low cost, simple model, and easy engineering realization

Active Publication Date: 2012-12-19
江苏红光仪表厂有限公司
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Problems solved by technology

[0004] The purpose of the present invention is to provide a modeling method of the flux linkage soft sensor instrument based on the least squares support vector machine during the stable suspension operation of the bearingless asynchronous motor, and provides the key parameter setting method of the least squares support vector machine The model optimization method overcomes the problem that the flux linkage of the bearingless asynchronous motor is difficult to measure directly online and in real time

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  • Modeling method of soft measuring instrument for magnetic chain of bearingless asynchronous motor
  • Modeling method of soft measuring instrument for magnetic chain of bearingless asynchronous motor
  • Modeling method of soft measuring instrument for magnetic chain of bearingless asynchronous motor

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[0024] figure 1 Shown is a schematic diagram of the basic structure of the optimization modeling method of the flux linkage soft sensor instrument based on the least squares support vector machine during the stable suspension operation of the bearingless asynchronous motor. This figure shows the flux linkage least squares support vector machine of the bearingless asynchronous motor The basic framework and composition of soft gauge instrumentation optimization modeling. figure 2 It is a flow chart of optimizing the least squares support vector machine flux linkage soft sensor instrument model based on the improved particle swarm algorithm, which specifically describes the optimization process. The implementation of the invention is divided into two parts, the first part is the least square support vector machine modeling of the flux linkage of the bearingless asynchronous motor. In order to achieve the best regression effect of the built model, the second part is to determin...

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Abstract

The invention discloses an optimized modeling method of a soft measuring instrument for a magnetic chain based on a least squares support vector machine during the stable suspended movement process of a bearingless asynchronous motor. The modeling method comprises the following two parts: modeling via the least squares support vector machine and the determination of an optimal model based on the improved particle swarm optimization. A soft measuring instrument model based on the least squares support vector machine is provided for the magnetic chain variable of the bearingless asynchronous motor difficult to measure in an online way, and the defects of low control accuracy and the like caused by time lag in the traditional offline measuring method can be well overcome. The modeling method has various advantages of automatic parameter optimization, high prediction accuracy, small sample demand size, strong anti-interference capability and the like.

Description

technical field [0001] The invention relates to an optimized modeling method of a soft measuring instrument, specifically a method for estimating the flux linkage value with an optimized least square support vector machine model in the operation engineering of a bearingless asynchronous motor, and creates a method for realizing real-time on-line control of a bearingless asynchronous motor Conditions, suitable for high-performance control of bearingless asynchronous motors, and applied in the technical field intersecting special electric drives and information science. Background technique [0002] Bearingless asynchronous motors have great application prospects in high-speed, ultra-high-speed, and ultra-clean fields due to their advantages such as high speed, high precision, no friction, no wear, no maintenance, low noise, and easy magnetic field weakening control. The stator of the bearingless asynchronous motor adopts two sets of winding structures of torque and suspension...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 孙晓东陈龙江浩斌杨泽斌李可
Owner 江苏红光仪表厂有限公司
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