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Nerval net based inverse control system for permanent-magnet synchronous motor with five degrees of freedom without bearing and control method

A permanent magnet synchronous motor, neural network inverse technology, applied in general control systems, control/regulation systems, synchronous machines, etc., can solve the problems of no patents and literature, and achieve the effect of power improvement, practical structure, and compact structure

Inactive Publication Date: 2006-02-22
JIANGSU UNIV
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Problems solved by technology

[0004] There are no relevant patents and documents at home and abroad

Method used

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  • Nerval net based inverse control system for permanent-magnet synchronous motor with five degrees of freedom without bearing and control method
  • Nerval net based inverse control system for permanent-magnet synchronous motor with five degrees of freedom without bearing and control method
  • Nerval net based inverse control system for permanent-magnet synchronous motor with five degrees of freedom without bearing and control method

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Embodiment Construction

[0027] The embodiment of the present invention is as follows: first, a five-degree-of-freedom bearingless permanent magnet synchronous motor prototype body is constructed based on a three-degree-of-freedom AC-DC radial-axial hybrid magnetic bearing and a two-degree-of-freedom bearingless permanent magnet synchronous motor, and then three A Clark inverse transform, three current tracking inverters, a linear power amplifier, a five-degree-of-freedom bearingless permanent-magnet synchronous motor and a load form a composite controlled object as a whole, and the composite controlled object is equivalent to The 11th order differential equation model of , the relative order of the system vector is {2, 2, 2, 2, 2, 1}. Static neural network (3-layer network) with 17 input nodes and 7 output nodes plus 11 integrators -1 Construct the neural network inverse of a compound plant with 6 input nodes and 7 output nodes. And by adjusting the weights of the static neural network, the neural n...

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Abstract

This invention relates to permanent simultaneous motor control system based on NN with five free degree and with no bearing, which is characterized by the following: one two-free degree with no bearing simultaneous motor, one three-free degree alternating radium and axis direction mixed magnetic bearing form one sample body; three Clark anti-conversion, three current tracing anti-converter and one linear power amplifier, sample machine and its load work as one integration to form compound controlled subject; using static NN summer through study formula to form NN reverse for non-linear dynamic decoupling control on five free degrees bearing.

Description

technical field [0001] The present invention is an inverse five-degree-of-freedom bearingless permanent magnet synchronous motor control system and control method based on a neural network, which is suitable for many special electrical transmission fields such as sealed pumps, high-speed or ultra-high-speed numerical control machine tools, industrial robots, aerospace, and life sciences. , especially with the characteristics of no contact, no lubrication and no wear, it is used in special occasions such as vacuum technology, pure clean room and aseptic workshop, and the transmission of corrosive media or very pure media, and belongs to the technical field of electric drive control equipment. Background technique [0002] The traditional five-degree-of-freedom bearingless motor (except the rotational degree of freedom) is composed of two two-degree-of-freedom bearingless motor units and one axial magnetic bearing. The mechanical structure of the motor is quite complex, the ax...

Claims

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Application Information

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IPC IPC(8): G05B13/02H02K21/00H02K7/09
Inventor 朱熀秋费德成
Owner JIANGSU UNIV
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