Developing a linear model of RF power generators with pseudo random binary signals (PRBS)

Abstract

In this paper, we will present an approach developing a linear model of a radio frequency (RF) power generator by using pseudo random binary signals (PRBS). We will compare two linear models obtained respectively by the PRBS approach and a traditional modeling approach. The result shows that both approaches achieve a very similar model of the RF power generator. Moreover, it can be shown that the PRBS approach is easily implemented in FPGA (Field Programmable Gate Array) and can be adapted for the on-line system identification.

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“…The main algorithm is to make a pattern that The process of creating pseudo-random signals (PRBS) is based on a series of random pulses that are sent out at regular intervals. The main algorithm is to make a pattern that has a wide range of frequencies so that the system can be identified [16]. A virtual instrument from the LabVIEW VI platform (Figure 4) was used to identify the models:…”

“…has a wide range of frequencies so that the system can be identified [16]. A virtual instrument from the LabVIEW VI platform (Figure 4) was used to identify the models: The process simulator software application when one analyzes the three different operating zones, Z1, Z2, and Z3, on the plant's nonlinear diagram is shown in Figure 3.…”