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Fuzzy sliding mode and neural network based composite control system of permanent synchronous motor

A permanent magnet synchronous motor, fuzzy sliding mode control technology, applied in the control system, vector control system, motor generator control and other directions, can solve the problems of rapidity and limited anti-interference ability, and achieve the improvement effect of traditional PID control

Inactive Publication Date: 2012-12-26
曹秉刚
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the permanent magnet synchronous motor vector control system generally adopts the speed and current double closed-loop control method, and most of the speed control uses the traditional PID controller. Although the traditional PID control is simple in principle, robust and stable, it is fast and very limited ability to resist interference

Method used

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  • Fuzzy sliding mode and neural network based composite control system of permanent synchronous motor
  • Fuzzy sliding mode and neural network based composite control system of permanent synchronous motor
  • Fuzzy sliding mode and neural network based composite control system of permanent synchronous motor

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Embodiment

[0027] This embodiment describes a compound control system of permanent magnet synchronous motor based on fuzzy sliding mode and neural network, and its overall structure is as follows figure 1As shown, it includes a speed control outer loop and a current control inner loop. The speed control outer loop includes an error comparison module 1, a compound control module 2, a first comparison module 3, a first PI adjustment module 4, and a three-phase inverter 5 and a rotation speed position detection module 6, the current control inner loop includes a second comparison module 7, a second PI adjustment module 8, a Park inverse transformation module 9, a voltage vector pulse width modulation module 10, a Clark transformation module 11 and a Park transformation module 12. The three-way output of the three-phase inverter 5 is connected to the permanent magnet synchronous motor 13, the permanent magnet synchronous motor 13 is connected to the speed position detection module 6, and the ...

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Abstract

The invention discloses a fuzzy sliding mode and neural network based composite control system of a permanent synchronous motor. The control system comprises a rotation speed control outer ring and a current control inner ring, wherein a control unit in the rotation speed control outer ring adopts a composite control module; the composite control module comprises a fuzzy sliding mode control module and a neural network control module; and the fuzzy sliding mode control module and the neural network control module are combined together through two weighing factors lambda n and lambda f. The control system has the advantages of both the fuzzy sliding mode control module and the neural network control module, so that the strong robustness and high stability of the control system of the permanent synchronous motor are realized, the steady state precision is improved, and moreover, the rapidness in control and the strong load disturbance resistance are achieved.

Description

technical field [0001] The invention relates to the technical field of AC motor transmission, in particular to a composite control system based on a permanent magnet synchronous motor vector control system. Background technique [0002] Since the birth of the world's first automobile in 1886, automobiles have been used more and more widely in all aspects of social life due to their comprehensive performance advantages in carrying capacity, convenience, comfort and cost performance. But while automobiles bring people a convenient and comfortable modern life, they cannot escape the responsibility of destroying the ecological environment and consuming a large amount of oil resources. The development of a new generation of clean energy vehicles has become an inevitable trend. Considering factors such as energy saving and emission reduction potential, technology maturity and product price, electric vehicles have become one of the best solutions for new energy vehicles. The deve...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02P21/00H02P21/05H02P21/18H02P27/08
Inventor 杨明明王锋陈钢曹秉刚阳科
Owner 曹秉刚
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