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

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...

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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 surface control method cannot eliminate the influence of filtering errors, which will affect the control accuracy of the system.

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