DocumentCode
158420
Title
A Newton-like algorithm for L2 -gain optimal control of an electro-hydraulic servo-system
Author
Milic, Vladimir ; Kasac, Josip ; Situm, Zeljko
Author_Institution
Fac. of Mech. Eng. & Naval Archit, Univ. of Zagreb, Zagreb, Croatia
fYear
2014
fDate
16-19 June 2014
Firstpage
574
Lastpage
579
Abstract
This paper is concerned with L2-gain optimal control approach for rotary electro-hydraulic servo-system. The electro-hydraulic dynamics with respect to hydraulic motor velocity, with input voltage to the servo valve as control input and load torque as disturbance input, is formulated. The mathematical model results in input-affine nonlinear system. A numerical algorithm based on Newton method to solve a finite-horizon minimax problem for L2-gain minimisation of electro-hydraulic system is presented. The feedback control and disturbance variables are formulated as linear combination of approximation functions. The proposed algorithm, which has recursive matrix structure, directly finds approximations of the feedback control and the “worst case” disturbance variables. Developed controller has been tested experimentally in the laboratory model of an electro-hydraulic servo system.
Keywords
Newton method; electrohydraulic control equipment; feedback; matrix algebra; minimax techniques; nonlinear systems; optimal control; servomechanisms; torque; torque control; Newton method; Newton-like algorithm; approximation functions; electrohydraulic dynamics; feedback control; finite horizon minimax problem; hydraulic motor velocity; input-affine nonlinear system; laboratory model; load torque; mathematical model; numerical algorithm; optimal control; recursive matrix structure; rotary electrohydraulic servo system; servo valve; worst case disturbance variables; Approximation methods; Heuristic algorithms; Induction motors; Mathematical model; Servomotors; Torque; Valves;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation (MED), 2014 22nd Mediterranean Conference of
Conference_Location
Palermo
Print_ISBN
978-1-4799-5900-6
Type
conf
DOI
10.1109/MED.2014.6961434
Filename
6961434
Link To Document