Full-state constraint finite time control method for permanent magnet synchronous motor based on instruction filtering

A permanent-magnet synchronous, time-limited technology, applied in the direction of motor generator control, AC motor control, electronic commutation motor control, etc., can solve the problems that cannot eliminate filtering errors and affect the control accuracy of the system, so as to reduce the burden of online calculation, Improve the control accuracy and ensure the effect of limited time stability

Pending Publication Date: 2021-11-16
QINGDAO UNIV
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  • Application Information

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Problems solved by technology

Aiming at the calculation explosion problem, a dynamic surface control method has been proposed to solve it. However, the dynamic

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  • Full-state constraint finite time control method for permanent magnet synchronous motor based on instruction filtering
  • Full-state constraint finite time control method for permanent magnet synchronous motor based on instruction filtering
  • Full-state constraint finite time control method for permanent magnet synchronous motor based on instruction filtering

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Embodiment Construction

[0122] The basic idea of ​​the present invention is: utilize neural network to approximate the unknown nonlinear function in the permanent magnet synchronous motor system; utilize the obstacle Lyapunov function to constrain the state quantities such as the rotor angular velocity and the stator current of the permanent magnet synchronous motor system in a given state interval all the time Inner; the intermediate virtual control signal and error compensation signal are constructed by using the command filter backstepping method, and the control law is obtained by step by step recursion, so as to ensure that the voltage is stable in a bounded area, reduce the control error, and thus improve the control accuracy. The finite time control technology is introduced, so that the tracking error can converge to a very small area of ​​the origin within a finite time, improving the control accuracy and anti-interference ability of the system.

[0123] Below in conjunction with accompanying ...

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Abstract

The invention discloses a full-state constraint finite time control method for a permanent magnet synchronous motor based on instruction filtering. According to the method, for the control precision requirement of the permanent magnet synchronous motor and the nonlinear problem in a driving system, the finite time control technology is adopted to accelerate the convergence speed of the system and improve the anti-interference capability of the system, and it is guaranteed that the tracking error of the system is converged to a small enough neighborhood of an original point; the problem of calculation explosion of traditional backstepping control is solved by introducing an instruction filtering technology; meanwhile, a finite time error compensation mechanism is designed, the influence of filtering errors is reduced, and the control precision of the system is improved; a barrier Lyapunov function is constructed to ensure that state variables such as rotor angular velocity and stator current of a permanent magnet synchronous motor system are always in a given state interval, and unknown nonlinear terms in the system are processed by using a neural network adaptive technology. According to the invention, the fast and effective response to the position tracking control of the permanent magnet synchronous motor is realized, and the robustness is good.

Description

technical field [0001] The invention belongs to the technical field of position tracking control of permanent magnet synchronous motors, in particular to a command filtering-based full-state constraint finite time control method for permanent magnet synchronous motors. Background technique [0002] In recent years, permanent magnet synchronous motors have been widely used in manufacturing, agriculture, aerospace and other fields due to their advantages of simple structure, no rotor loss and wide speed range. However, the permanent magnet synchronous motor system has the characteristics of multi-variable, strong coupling, and high nonlinearity, and it is easily affected by some uncertain factors and cannot work normally, such as parameter uncertainty and load disturbance. In order to make the system obtain better control performance, researchers have proposed many effective control strategies, such as backstepping control, neural network control, sliding mode variable structu...

Claims

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Application Information

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IPC IPC(8): H02P21/00H02P21/18H02P21/05H02P25/022H02P27/08
CPCH02P21/0014H02P21/0017H02P21/18H02P21/05H02P25/022H02P27/08H02P2207/05
Inventor 于金鹏于慧慧马玉梅宋晨刘加朋陈曦
Owner QINGDAO UNIV
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