A Nonlinear Decoupling Control Approach Using RBFNNI-Based Robust Pole Placement for a Permanent Magnet In-Wheel Motor

A Nonlinear Decoupling Control Approach Using RBFNNI-Based Robust Pole Placement for a Permanent Magnet In-Wheel Motor

This paper presents a novel nonlinear decoupling control scheme for a permanent magnet in-wheel motor (PMIWM), in which both the radial basis function neural network inverse (RBFNNI) and the state feedback robust pole placement (RPP) are employed. First, a theoretical analysis shows the existence of...

Full description

Bibliographic Details
Main Authors: Yong Li, Bin Li, Xing Xu, Xiaodong Sun
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Permanent magnet in-wheel motor
inverse system
radial basis function neural network
robust pole placement
electric vehicle
Online Access:https://ieeexplore.ieee.org/document/8168327/

Internet

https://ieeexplore.ieee.org/document/8168327/

Similar Items