An event-triggered position tracking control method for permanent magnet synchronous motors

Abstract

The invention discloses an event-triggered permanent magnet synchronous motor position tracking control method, comprising the following steps: establishing a dynamic model of the permanent magnet synchronous motor and an expected tracking trajectory; discretizing the permanent magnet synchronous motor system; designing a controller that acts on the The event triggering mechanism of the network channel between the actuator and the controller; the design of an adaptive neural network controller based on event triggering; the design of a disturbance observer; the design of a feedforward compensator that compensates for matching and non-matching disturbances. The method designed in the present invention can not only obtain good position tracking performance and anti-interference ability, but also extend the traditional time-triggered control mode of permanent magnet synchronous motor to event-triggered control mode, effectively saving the networked control system of permanent magnet synchronous motor Resources such as network bandwidth, computing and energy enable the system to operate normally even under network congestion.

Description

technical field [0001] The invention relates to the technical field of position tracking control of permanent magnet synchronous motors, in particular to an event-triggered based position tracking control method of permanent magnet synchronous motors. Background technique [0002] Permanent magnet synchronous motor is a motor in which the rotor excited by permanent magnets rotates synchronously with the stator space magnetic field. Compared with traditional electrically excited motors and induction motors, permanent magnet synchronous motors have significant advantages such as simple structure, small size, high efficiency, and high power density, and have been used in many applications in the fields of position control, drive traction, and high-efficiency power output. In addition, introducing the network into the control system to design a networked control system has changed the traditional point-to-point control method, which has broad development prospects and research s...

AI Technical Summary

Problems solved by technology

Aiming at the problem that the permanent magnet synchronous motor cannot be accurately modeled, this method uses the universal approximation theorem of the neural network, combined with the inverse design method to realize the adaptive neural network control; for the problem of limited network bandwidth resources, the method is between the controller and the actuator The network channel introduces an event trigger mechanism to reduce unnecessary signal transmission and achieve the purpose of effectively saving network bandwidth resources; in view of the problem of matching and non-matching disturbances in the permanent magnet synchronous motor control system, this method uses a disturbance observer to estimate the disturbance. Combined with the reverse push control method, the feedforward compensator is designed to improve the anti-interference ability of the system

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