Advances in Applying Iterative Learning Control to a Relativistic Backward Wave Oscillator
Abstract
Previous results pertaining to the control of various parameters of a relativistic backward wave oscillator (BWO) include maintaining a specified or desired power over several frequencies, and maintaining a desired frequency over a range of output power. A problem of much greater complexity is the simultaneous control of both, involving the independent mapping of both power and frequency dependence on the two input variables, cathode voltage and slow wave structure (SWS) displacement. As stated in our earlier works,(C. T. Abdallah, V. S. Soualian and E. Schamiloglu, IEEE Trans. Plasma Sci. 26), 905 (1998).^,(C. T. Abdallah, W. Yang, E. Schamiloglu, and L. D. Moreland, IEEE Trans. Plasma Sci. 24), 879 (1996). both power and frequency have a sinusoidal dependence on the displacement of the SWS with respect to the cutoff neck, and a near linear dependence on the cathode voltage. Presently, we are studying the ability to control both output variables, power and frequency, utilizing an iterative learning control law. This law minimizes the L_1-norm of both output variables by updating the input variables.
- Publication:
-
APS Division of Plasma Physics Meeting Abstracts
- Pub Date:
- November 1998
- Bibcode:
- 1998APS..DPP.K6S38P