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Random command filter neural network control method for permanent magnet synchronous motor considering iron loss

A technology of permanent magnet synchronous motor and neural network control, which is applied in the direction of model/simulation for control purposes

Active Publication Date: 2020-06-19
QINGDAO UNIV
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  • Abstract
  • Description
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Problems solved by technology

[0005] The purpose of the present invention is to propose a permanent magnet synchronous motor stochastic command filter neural network control method considering iron loss, to solve the technical problem of the position tracking control of the permanent magnet synchronous motor under the condition of parameter uncertainty and load torque disturbance

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  • Random command filter neural network control method for permanent magnet synchronous motor considering iron loss
  • Random command filter neural network control method for permanent magnet synchronous motor considering iron loss
  • Random command filter neural network control method for permanent magnet synchronous motor considering iron loss

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Embodiment Construction

[0189] The basic idea of ​​the present invention is: use the neural network system to approach the unknown random nonlinear function in the permanent magnet synchronous motor drive system, and at the same time based on the Lyapunov function, use the backstepping method to construct the intermediate virtual control signal, and obtain the control law step by step, so as to ensure The voltage and current are stabilized in a bounded area, reducing errors and improving control accuracy.

[0190] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0191] Such as figure 1 As shown, the random command filter neural network control method of the permanent magnet synchronous motor considering the iron loss mainly includes the random command filter neural network controller 1 of the permanent magnet synchronous motor considering the iron loss, the coordinate transformation unit 2, and the SVPWM inverter Device 3,...

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Abstract

Provided is a permanent-magnet synchronous motor random-filtering neural network control method which takes iron loss into consideration, belonging to the technical field of permanent-magnet synchronous motor position-tracking control. The method addresses the control accuracy requirements of permanent magnet synchronous motors and the problem of random disturbance and nonlinearity in drive systems; in conventional backstepping methods, a command filtering technology is introduced to solve the problem of "calculation explosion" in the calculation process; at the same time, a neural network is used to approximate the nonlinear function in the system and construct a neural network adaptive position tracking controller. The invention ensures that the tracking error of the system can converge to within a sufficiently small neighborhood of the origin, has higher operating efficiency, stronger interference resistance capability, and better control performance.

Description

technical field [0001] The invention belongs to the technical field of position tracking control of permanent magnet synchronous motors, and in particular relates to a random command filter neural network control method of permanent magnet synchronous motors considering iron loss. Background technique [0002] In recent years, permanent magnet synchronous motors (PMSM) have been widely used in agriculture, industry and other fields due to their simple structure, high efficiency, long service life and strong practical applicability. However, the system of PMSM is highly nonlinear, strongly coupled and multivariable, and the motor system will be disturbed by some uncertain factors in practical applications, such as parameter uncertainty and load disturbance. In order to solve these problems, relevant scientific and technological workers have proposed some advanced nonlinear control methods and achieved good results, such as backstepping control, sliding mode control, robust co...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02P6/34
CPCH02P6/34
Inventor 于金鹏马玉梅刘占杰程帅付程王孟孟
Owner QINGDAO UNIV
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