A Differential-Flatness control strategy for wireless paralleled inverters

2015 ◽  
pp. 2419-2425
Author(s):  
Weixin Wang ◽  
Li Sun ◽  
Ke Zhao
Keyword(s):  
Control Strategy ◽  
Differential Flatness ◽  
Flatness Control

Flatness Control Strategy Based on Delay Compensation for Cold Rolling Mill

2016 ◽  
Vol 88 (2) ◽  
pp. 1600065 ◽  
Author(s):  
Wang Pengfei ◽  
Peng Yan ◽  
Wang Dongcheng ◽  
Sun Jie ◽  
Zhang Dianhua ◽  
...  
Keyword(s):  
Cold Rolling ◽  
Control Strategy ◽  
Rolling Mill ◽  
Delay Compensation ◽  
Cold Rolling Mill ◽  
Flatness Control

Modeling and Control of Fuel Cell/Supercapacitor Hybrid Source Based on Differential Flatness Control

2010 ◽  
Vol 59 (6) ◽  
pp. 2700-2710 ◽  
Author(s):  
P Thounthong ◽  
S Pierfederici ◽  
J.-P Martin ◽  
M Hinaje ◽  
B Davat
Keyword(s):  
Fuel Cell ◽  
Differential Flatness ◽  
Modeling And Control ◽  
Flatness Control ◽  
And Control

Flatness Control: Application to a Fractional Thermal System

2005 ◽  
Author(s):  
Pierre Melchior ◽  
Mikae¨l Cugnet ◽  
Jocelyn Sabatier ◽  
Alain Oustaloup
Keyword(s):  
Control Strategy ◽  
Path Tracking ◽  
Dynamic Inversion ◽  
Thermal System ◽  
Differential Systems ◽  
Fractional Systems ◽  
Crone Control ◽  
Flatness Control ◽  
Fractional System ◽  
Control Application

This paper concerns the application of flatness principle to fractional systems. As soon as the path has been obtained by flatness, a new robust path tracking based on CRONE control is presented. The flatness concept in path planning is used when the trajectory is fixed (in space and in time), to determine the controls to apply without having to integrate any differential equations. A lot of developments have been made but, in the case of non integer differential systems (or fractional systems), few developments are still to be made. So, the aim of this paper is to apply flatness principle to a fractional system and to define a robust path tracking by CRONE control strategy. Firstly, we remind flatness principle definitions used in control’s theory. We study the fractional systems dynamic inversion. A robust path tracking based on CRONE control is presented. Finally, simulations with two different controllers (PID and CRONE) illustrate the path tracking robustness.

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