Fuzzy wavelet neural network control method for discrete multi-motor servo system with event-triggered mechanism
By combining a type II fuzzy wavelet neural network and a backstepping control framework with an event triggering mechanism, the instability problem of multi-motor servo systems under high torque output and limited communication resources is solved, achieving high-precision and high-efficiency control.
CN117411365BActive Publication Date: 2026-07-07GUIZHOU UNIV
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUIZHOU UNIV
- Filing Date
- 2023-09-27
- Publication Date
- 2026-07-07
Smart Images
Figure CN117411365B_ABST
Abstract
The present application relates to a kind of discrete multi-motor servo system fuzzy wavelet neural network control method with event triggering mechanism, belong to multi-motor servo system control field, comprising the following steps: S1: the discrete time system model of multi-motor servo system is established;S2: design two type fuzzy wavelet neural network to estimate unknown nonlinear function caused by external interference and internal parameter perturbation;S3: based on the backstepping control framework, introduce event triggering mechanism with dead zone operator, design discrete time fuzzy wavelet neural network controller;S4: using the discrete time fuzzy wavelet neural network controller, control multi-motor servo system is carried out.
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