Nonlinear mapping‐based feedback technique of dynamic surface control for the chaotic PMSM using neural approximation and parameter identification-Reference-Cited by-同舟云学术

Nonlinear mapping‐based feedback technique of dynamic surface control for the chaotic PMSM using neural approximation and parameter identification

Published:2018-04 Issue:6 Volume:12 Page:819-827
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Gao Shigen¹,Dong Hairong¹,Ning Bin¹,Tang Tao¹,Li Yidong²

Affiliation:

1. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong UniversityBeijing100044People's Republic of China

2. School of Computer and Information Technology, Beijing Jiaotong UniversityBeijing100044People's Republic of China

Funder

National Natural Science Foundation of China

State Key Laboratory of Rail Traffic Control and Safety

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2017.0550

Reference34 articles.

1. Active disturbance attenuation control for permanent magnet synchronous motor via feedback domination and disturbance observer

2. Tuning strategy of fractional‐order proportional integral controllers for permanent magnet synchronous motor servo system based on enhanced stochastic multi‐parameters divergence‐based optimisation algorithm;Zheng S.;IET Control Theory Appl.,2016

3. Virtual line‐shafting control for permanent magnet synchronous motor systems using sliding‐mode observer;Zhang C.;IET Control Theory Appl.,2015

4. Real‐time constrained current control of permanent magnet synchronous machines for automotive applications;Carpiuc S.C.;IET Control Theory Appl.,2014

5. Robust fractional order proportion‐plus‐differential controller based on fuzzy inference for permanent magnet synchronous motor;Zhang B.;IET Control Theory Appl.,2012

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