Fuzzy Adaptive Control Method for Stochastic System of Permanent Magnet Synchronous Motor Based on State Constraint

Abstract

The invention belongs to the technical field of position tracking control of permanent magnet synchronous motors, and specifically discloses a fuzzy self-adaptive control method for random systems of permanent magnet synchronous motors based on state constraints. In view of the problem that the traditional backstepping method cannot constrain the state quantity of the permanent magnet synchronous motor and the random disturbance in the system, a constrained Lyapunov function is constructed to ensure that the state quantities such as the rotor angular velocity and the stator current of the permanent magnet synchronous motor random system are always in the Within a given state interval; the method of the invention adopts a fuzzy logic system to approximate unknown random nonlinear items in the system. The simulation results show that the method of the present invention can not only realize the ideal position tracking control effect, but also can constrain the state quantities such as rotor angular velocity and stator current within a given constraint interval, avoiding safety problems caused by violating state constraints, and effectively Ensure 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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