DocumentCode :
666244
Title :
Control of RF cavity resonance frequency using reflected power measurements
Author :
Leewe, Ramona ; Moallem, Mehrdad ; Fong, Kenny
Author_Institution :
Sch. of Mechatron. Syst. Eng., Simon Fraser Univ., Surrey, BC, Canada
fYear :
2013
fDate :
10-13 Nov. 2013
Firstpage :
3428
Lastpage :
3432
Abstract :
Control of the natural resonance frequency of an RF cavity is challenging due to the variations in the input frequency and the highly nonlinear dynamics involved. The drift of resonance frequency due to disturbances such as temperature variations has to be compensated using a sensor based feedback controller. Additionally, there are limited possibilities for measurement of relevant quantities such as the resonance frequency for the purpose of real-time control due to the extremely high frequencies involved. To address the control problem, this paper presents a nonlinear control scheme that relies on the measurement of reflected power. To this end, a mathematical dynamical model for the cavity is derived, based on which a feedback control scheme using the method of steepest descent is proposed. A Lyapunov stability analysis is presented for the closed-loop system. Simulations are presented to evaluate performance of the proposed controller.
Keywords :
Lyapunov methods; cavity resonators; closed loop systems; feedback; frequency control; gradient methods; nonlinear control systems; particle accelerators; power measurement; Lyapunov stability analysis; RF cavity natural resonance frequency control; closed-loop system; feedback control scheme; mathematical dynamical model; nonlinear control scheme; nonlinear dynamics; real-time control; reflected power measurement; sensor-based feedback controller; steepest descent method; temperature variation; Cavity resonators; Frequency control; Frequency measurement; Mathematical model; Power measurement; Radio frequency; Resonant frequency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
ISSN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2013.6699679
Filename :
6699679
Link To Document :
بازگشت