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A Fast Terminal Sliding Mode Control Method for Chaotic System of Permanent Magnet Synchronous Motor Based on Neural Network

A permanent magnet synchronous motor and chaotic system technology, applied in the direction of motor generator control, electronic commutation motor control, control system, etc., can solve the problems of motor system power failure and motor control voltage not being considered

Inactive Publication Date: 2017-12-05
南京融浦益达动力科技有限公司
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Problems solved by technology

At present, the research on the chaos of PMSM control system is still in a preliminary stage, and in the research model of PMSM chaos control, the control voltage of the motor has not been considered, that is, only the sudden shutdown of the motor system after a period of stable operation is considered. electricity situation

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  • A Fast Terminal Sliding Mode Control Method for Chaotic System of Permanent Magnet Synchronous Motor Based on Neural Network
  • A Fast Terminal Sliding Mode Control Method for Chaotic System of Permanent Magnet Synchronous Motor Based on Neural Network
  • A Fast Terminal Sliding Mode Control Method for Chaotic System of Permanent Magnet Synchronous Motor Based on Neural Network

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Embodiment Construction

[0071] The present invention will be further described below in conjunction with the accompanying drawings.

[0072] refer to Figure 1-Figure 9 , a fast terminal sliding mode control method for chaotic system of permanent magnet synchronous motor based on neural network, including the following steps:

[0073] Step 1, establish the chaotic system model of the permanent magnet synchronous motor, initialize the system state and control parameters;

[0074] 1.1, the mathematical model of the permanent magnet synchronous motor is expressed as follows:

[0075]

[0076]

[0077] T e =n p [ψ f i q +(L d -L q )i d i q ] (3)

[0078]

[0079] where u d , u q is the component of the stator voltage on the d and q axes; i d ,i q is the component of the stator current on the d and q axes; ψ d ,ψ q is the component of the stator flux linkage on the d and q axes; L d , L q is the equivalent inductance of the stator winding on the d and q axes; ψ f Indicates the ...

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Abstract

A kind of fast terminal sliding mode control method of permanent magnet synchronous motor chaotic system based on neural network, comprising: setting up the model of permanent magnet synchronous motor chaotic system, initializing system state and control parameters; designing neural network, approximating the nonlinear uncertainty in the system Item; Design a fast terminal sliding mode controller based on neural network. The invention can effectively solve the stabilization problem of the chaotic system of the permanent magnet synchronous motor, improve the fast convergence performance of the system, and realize the precise control of the chaotic system of the permanent magnet synchronous motor.

Description

technical field [0001] The invention belongs to the technical field of permanent magnet synchronous motor control, and relates to a neural network-based fast terminal sliding mode control method for a permanent magnet synchronous motor chaotic system, especially for the fast terminal sliding mode of a permanent magnet synchronous motor chaotic system containing uncertain items Control Method. Background technique [0002] Permanent Magnet Synchronous Motor (PMSM) plays an important role in the development of modern industrial production. In recent years, studies by scholars at home and abroad have shown that in some cases, there is chaos in permanent magnet synchronous motors, which leads to intermittent oscillations of torque or speed, unstable control, and irregular electromagnetic noise in the system, which seriously affects The stable work of PMSM is guaranteed. Due to the existence of chaos, the stability of the PMSM control system will be severely damaged, and the tr...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02P21/14H02P21/24
Inventor 陈强陶亮董方张桢丽
Owner 南京融浦益达动力科技有限公司
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