LoboVault Home
 

Automated BWO design using iterative learning control

LoboVault

Please use this identifier to cite or link to this item: http://hdl.handle.net/1928/20345

Automated BWO design using iterative learning control

Show simple item record

dc.contributor.author Abdallah, Chaouki T.
dc.contributor.author Schamiloglu, E.
dc.contributor.author Park, G. T.
dc.contributor.author Soualian, V. S.
dc.date.accessioned 2012-04-10T17:24:57Z
dc.date.available 2012-04-10T17:24:57Z
dc.date.issued 1998-06-01
dc.identifier.citation 1998 IEEE International on Plasma Science, 1998. 25th Anniversary. IEEE Conference Record-Abstracts: 189 en_US
dc.identifier.issn 0730-9244
dc.identifier.uri http://hdl.handle.net/1928/20345
dc.description Digital Object Identifier : 10.1109/PLASMA.1998.677668 en_US
dc.description.abstract Summary form only given, as follows. In our earlier works we reported on experimental results showing how finite length variations in a high power backward wave oscillator (BWO) will result in sinusoidal variations in both frequency and power outputs. By manually shifting the slow wave structure with respect to the cutoff neck by one-quarter of a wavelength we were able to achieve maximum frequency agility (large bandwidth). Automated control of the shifting, beam current, and cathode voltage will allow the device to perform specific tasks and will ultimately lead to a “Smart Tube.” Such tasks may include the ability to maximize power of efficiency for a given frequency, or to achieve maximum frequency agility at a given constant power. Accomplishing these goals requires the development of a learning control system in conjunction with directed hardware. In this paper, we report on various completed subsystems of such a smart tube. In particular, we report on the implementation and testing of a vacuum-compatible step motor assembly and the corresponding motor control, for shifting the slow wave structure. We also report on the design and implementation of a pressure control device for the nitrogen in the spark gap, in order to adjust the cathode voltage. We finally report on the design and simulation of an iterative learning controller which automatically adjusts the pressure and shifting in order to achieve frequency agility. en_US
dc.description.sponsorship IEEE en_US
dc.language.iso en_US en_US
dc.publisher IEEE en_US
dc.subject Automatic control en_US
dc.subject Automatic voltage control en_US
dc.subject Bandwidth en_US
dc.title Automated BWO design using iterative learning control en_US
dc.type Article en_US


Files in this item

Files Size Format View
Abdallah et al ... ative learning control.pdf 89.85Kb PDF View/Open

This item appears in the following Collection(s)

Show simple item record

UNM Libraries

Search LoboVault


Advanced Search

Browse

My Account