HOSMD and neural network based adaptive super-twisting sliding mode control for permanent magnet synchronous generators

HOSMD and neural network based adaptive super-twisting sliding mode control for permanent magnet synchronous generators

To solve the maximum power tracking (MPT) control problem of the direct-driven wind power system, a super-twisting integral sliding mode controller with adaptive parameter estimation is designed. A high-order sliding mode differentiator is introduced as the virtual control variate filter, which solv...

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Bibliographic Details
Main Authors: Jiazheng Shen, Xueyu Dong, Jianzhong Zhu, Chenxi Liu, Jian Wang
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Super-twisting algorithm
Radial basis function neural network
Permanent magnet synchronous generators
High-order sliding mode differentiator
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722008149

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http://www.sciencedirect.com/science/article/pii/S2352484722008149

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