DocumentCode :
635021
Title :
Static LPV feedforward controller synthesis for Linear Parameter Varying systems
Author :
Altun, Yasemin ; Gulez, Kayhan ; Mumcu, Tarik Veli
Author_Institution :
Dept. of Control & Autom. Eng., Yildiz Tech. Univ., Istanbul, Turkey
fYear :
2013
fDate :
23-26 June 2013
Firstpage :
1
Lastpage :
4
Abstract :
This paper proposes a new static feedforward controller synthesis for Linear Parameter Varying (LPV) systems. In this approach, the matrices of system are dependent on measurable parameters which have bounded variations. The proposed controller design is based on H infinity controller design and is formulated in terms of Linear Matrix Inequalities (LMIs). Parameter-dependent Lyapunov function is used for the synthesis where the robust stability is guaranteed for all varying parameters during the control. This controller is used by combining on the feedback controller in two degrees of freedom (2-DOF) control system structure. It is assumed that the feedback controller in the generalized system was previously designed in the structure. Afterwards the feedforward controller is designed by imposing on the feedback controller. The controller design can be used for decreasing the reference tracking error or the disturbance attenuation. A numerical example is given to provide the applicability of the controller for decreasing the reference tracking error.
Keywords :
H control; control system synthesis; feedback; feedforward; linear matrix inequalities; linear systems; robust control; 2-DOF control system structure; H infinity controller design; LMI; bounded variations; disturbance attenuation; feedforward controller design; generalized system; linear matrix inequalities; linear parameter varying systems; measurable parameters; parameter-dependent Lyapunov function; reference tracking error reduction; robust stability; static LPV feedforward controller synthesis; system matrices; two-degree-of-freedom control system structure; Adaptive control; Aerospace electronics; Automation; Conferences; Control systems; Feedforward neural networks; Lyapunov methods; H controller; LMIs; Robust control; Static LPV feedforward control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ASCC), 2013 9th Asian
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-5767-8
Type :
conf
DOI :
10.1109/ASCC.2013.6606109
Filename :
6606109
Link To Document :
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