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Random finite time fuzzy adaptive control method for asynchronous motor based on instruction filtering

An asynchronous motor, fuzzy self-adaptive technology, applied in the direction of motor control, motor generator control, AC motor control, etc., can solve the problems that errors cannot be eliminated, filter errors, and affect control effects, etc., to reduce filter errors and improve control Accuracy, the effect of realizing the tracking of the position signal

Active Publication Date: 2021-11-16
QINGDAO UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there will be filtering error when using the dynamic surface control method, and this error cannot be eliminated, which will affect the control effect

Method used

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  • Random finite time fuzzy adaptive control method for asynchronous motor based on instruction filtering
  • Random finite time fuzzy adaptive control method for asynchronous motor based on instruction filtering
  • Random finite time fuzzy adaptive control method for asynchronous motor based on instruction filtering

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Embodiment Construction

[0146] The basic idea of ​​the present invention is: by combining the self-adaptive backstepping method and the command filter technology and applying it to the position tracking control of the asynchronous motor, to solve the problems of parameter uncertainty, external load change and traditional feedback in the drive system of the asynchronous motor. The calculation explosion problem existing in the step method; the method of the present invention considers the adverse effect brought by the random disturbance to the asynchronous motor, and introduces the finite time control technology, so that the tracking error can converge to the very small field of the origin within a finite time, so that The control method of the invention has higher engineering practice value and obtains ideal tracking effect.

[0147] Such as figure 1It shows the schematic diagram of the complex controlled object composed of command filtering-based stochastic finite-time fuzzy adaptive backstepping con...

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Abstract

The invention discloses an asynchronous motor random finite time fuzzy adaptive control method based on instruction filtering, and aiming at meeting the control precision requirement of an asynchronous motor random system and solving existing random disturbance and nonlinearity problems. A fuzzy self-adaptive backstepping controller is designed to realize tracking of a target position, a random nonlinear function in a fuzzy self-adaptive technology approximation model is utilized, the instruction filtering technology is adopted to solve the problem of calculation complexity caused by repeated derivation of a virtual control function in a traditional backstepping method, a finite time control method and the instruction filtering technology are combined, and the convergence speed and the anti-interference capability of the asynchronous motor random system are improved. Simulation experiments prove that the method can enable the asynchronous motor random system to quickly track expected signals, and meanwhile, the influence of random disturbance is overcome.

Description

technical field [0001] The invention belongs to the technical field of position tracking control of asynchronous motors, and relates to a random finite-time fuzzy self-adaptive control method for asynchronous motors based on command filtering. Background technique [0002] In recent years, asynchronous motors have been widely used in agricultural and industrial fields due to their simple structure, high efficiency, long service life and strong practical applicability. However, the asynchronous motor system is a highly nonlinear, strongly coupled, and multivariable system, and in practice, the asynchronous motor system will be disturbed by some uncertain factors, such as parameter uncertainties and load disturbances. In order to solve these problems, relevant scientific and technological workers have proposed some nonlinear control methods and achieved good results, such as backstepping control, sliding mode control, robust control and other advanced control technologies. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02P21/00H02P21/05H02P21/18H02P27/08
CPCH02P21/001H02P21/0017H02P21/05H02P21/18H02P27/08H02P2207/01
Inventor 于金鹏马盼盼马玉梅徐雨梦宋思佳刘加朋
Owner QINGDAO UNIV
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