DocumentCode
3446909
Title
A Novel Nonlinear Passivity-Based Control Algorithm for Active Power Filter Using Euler-Lagrange Model
Author
Zhang, Zhenhuan ; Liu, Huijin ; Liu, Xiaoli
Author_Institution
Wuhan Univ., Wuhan
fYear
2007
fDate
23-25 May 2007
Firstpage
1746
Lastpage
1751
Abstract
The performance and application of active power filter (APF) in power system is closely linked to the control strategy. The paper proposes a novel nonlinear passivity-based algorithm for APF based on Euler-Lagrange (EL) dynamic averaged model of APF. Firstly, the EL dynamic averaged expressions of APF are determined in terms of substitution theorem and EL system theory. Secondly, according to passivity theory and EL averaged model presented, the passivity-based feedback control laws and the whole control objectives of APF arc proposed, which can guarantee the stability and achieve asymptotically command tracking. Lastly, in order to overcome the difficulty in estimating the ripple component on dc-side capacitor voltage, the modified control algorithm is proposed by neglecting the ripple component. Simulation results arc presented to verify the validity of the proposed algorithm.
Keywords
active filters; feedback; nonlinear control systems; power capacitors; power filters; DC-side capacitor voltage; Euler-Lagrange dynamic averaged model; active power filter; nonlinear passivity-based control algorithm; passivity-based feedback control laws; ripple component estimation; Active filters; Asymptotic stability; Capacitors; Control systems; Feedback control; Nonlinear dynamical systems; Power system control; Power system dynamics; Power system modeling; Power systems; Active Power Filter (APF); Euler-Lagrange (EL) model; feedback control; passivity; ripple component;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4244-0737-8
Electronic_ISBN
978-1-4244-0737-8
Type
conf
DOI
10.1109/ICIEA.2007.4318709
Filename
4318709
Link To Document