Strong Robust and Optimal Chaos Control for Permanent Magnet Linear Synchronous Motor

Strong Robust and Optimal Chaos Control for Permanent Magnet Linear Synchronous Motor

To effectively solve the chaotic phenomenon problem in permanent magnet linear synchronous motor (PMLSM), this paper presents a novel control scheme combining radial basis function neural network (RBFNN), adaptive backstepping method, and particle swarm optimization (PSO) algorithm. By applying a fe...

Full description

Bibliographic Details
Main Authors: Jiangao Ye, Junhua Yang, Dongshen Xie, Baozhou Huang, Haoran Cai
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Chaos control
Lyapunov stability
permanent magnet linear synchronous machine
particle swarm optimization
radial basis function neural network
Online Access:https://ieeexplore.ieee.org/document/8701697/

Internet

https://ieeexplore.ieee.org/document/8701697/

Similar Items