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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 technology of permanent magnet synchronous motor and neural network inversion, which is applied in the general control system, control/regulation system, synchronous machine, etc., can solve the problems of no patents and documents, etc., and achieve power increase, miniaturization, and shortened rotor length Effect

Inactive Publication Date: 2009-12-23
JIANGSU UNIV
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  • Claims
  • Application Information

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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

Based on neural network inverse five-degree-of-freedom bearingless permanent magnet synchronous motor control system, it is characterized by a two-degree-of-freedom bearingless permanent-magnet synchronous motor (21), a three-degree-of-freedom AC-DC radial-axial hybrid magnetic bearing (22 ) etc. constitute the prototype body. Then three Clark inverse transforms (41, 42, 43), three current tracking inverters (31, 32, 33), a linear power amplifier (34), the prototype and its load are taken as a whole to form a composite controlled Object (52); According to the inverse system corresponding to this compound controlled object (52), add integrator with static neural network (61) and form neural network inverse (62) by learning algorithm, to five degrees of freedom bearingless permanent magnet synchronous The motor performs nonlinear dynamic decoupling control. The structure of the motor is simple and the performance of the control system is excellent. It is suitable for many special electric transmission fields such as sealed pumps, high-speed or ultra-high-speed CNC machine tools, industrial robots, aerospace, and life sciences.

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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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/02H02K21/00H02K7/09
Inventor 朱熀秋费德成
Owner JIANGSU UNIV
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