Iterative Learning Control Applications to
High Power Microwave Tubes
V. S. Soualian, G.T. Park, C.T. Abdallah, and E. Schamiloglu
University of New Mexico,
Albuquerque, NM 87131, USA.
In this paper, we present a "smart" high-peak power microwave tube, by implementing iterative learning control method-
ologies to control a repetitively-pulsed, high-power, backward wave oscillator. The learning control algorithm is used to drive
the error between the actual output and its desired value to zero. The desired output may be a given power level, a given
frequency, or a combination of both. The learning control methodology is then experimentally verified.
Present day high-peak power microwave (HPM) sources typically operate in the single shot regime because
of practical limitations imposed by the pulsed power systems used to drive them , . There are however
commercial HPM systems that operate at modest repetition rates, two examples of which include a system
based on the reltron source  operating at 1 Hz, and a system based on a magnetron source  operating
at a 10 pulse per second burst mode. It is clear that a modest pulse repetition rate is attractive in pulsed
radar systems and electronic countermeasures (ECM).
The physics of the interaction between a relativistic electron beam and various slow wave structure con-