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
CN109921698BActive Publication Date: 2020-06-19QINGDAO UNIV
4 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
QINGDAO UNIV
Publication Date
2020-06-19

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

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.
Need to check novelty before this filing date? Find Prior Art

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More