Permanent magnet synchronous motor stochastic system fuzzy adaptive control method based on state constraints

Abstract

The invention belongs to the technical field of permanent magnet synchronous motor position tracking control, and particularly discloses a permanent magnet synchronous motor stochastic system fuzzy adaptive control method based on state constraints. Aiming at the problems that a traditional backstepping method cannot restrain the state quantity of a permanent magnet synchronous motor and random disturbance exists in the system, a constraint Lyapunov function is constructed to ensure that the state quantities such as the rotor angular velocity and the stator current of the stochastic system ofthe permanent magnet synchronous motor are always in a given state interval; and according to the method, a fuzzy logic system is adopted to approach an unknown stochastic nonlinear term in the system. Simulation results show that the method not only can achieve an ideal position tracking control effect, but also can restrain the state variables such as the angular velocity of the rotor and the current of the stator in a given constraint interval, avoids safety problems caused by violation of state constraints, and can effectively guarantee safety specifications and system 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 fuzzy self-adaptive control method for a stochastic system of permanent magnet synchronous motors based on state constraints. Background technique [0002] In recent years, permanent magnet synchronous motors have been widely used in agriculture and industry due to their simple structure, high efficiency, long service life and strong practical applicability. However, the permanent magnet synchronous motor system is highly nonlinear, strongly coupled and multivariable, and in practical applications, the permanent magnet synchronous motor system will be disturbed by some uncertain factors, 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 backs...

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Problems solved by technology

[0005] In addition, in another front-end research field, the adaptive backstepping method, which is one of the advanced technologies, has been successfully applied to the permanent magnet synchronous motor system, but the use of the traditional adaptive backstepping method has limitations, and related research has proposed Approximate theories such as fuzzy logic system or neural network, and successfully solved some defects in the traditional adaptive backstepping method

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