Predictive method of improvement of the generators rated power usage in inductive heating

Zgraja, J.; Urbanek, P.; Kucharski, J.

doi:10.1109/elmeco.2017.8267769

Cited by 2 publications

(1 citation statement)

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“…The executive system performs tests in a frequency range from 10 to 100 kHz to determine the actual state of the system, and the computer program selects values of four basic parameters providing the best fit to the connected IHS, i.e., the resonance frequency, series inductance Ls, the configuration of the three connected inverters, and the value of the resonant capacitor CR. The computer application also allows, in a predictive way, to take into account the probable changes in system impedance caused by the changing temperature of the heated charge [23]. The "outer" part is the master computer, via which the operator communicates with the system, using its Human Machine Interface (HMI).…”

Section: Resonant Generator With Controlled Llc Systemmentioning

confidence: 99%

Autonomous Energy Matching Control in an LLC Induction Heating Generator

2020

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Induction heating is one of the most effective methods of energy conversion from the electrical to thermal form, used in diverse industrial processes. In this paper the resonance generators for induction heating are considered for which the equivalent load resistance has a strong impact on the ability of the system to use optimally the potentially available power. The equivalent load resistance varies, depending on the type of induction heating system (IHS) and during the heating process itself. This paper presents an induction heat generator in which an L-LC resonance system (called the LLC system) plays an active role in energy matching. The LLC resonance system is analyzed from the point of view of both the functional dependencies describing the influence of frequency on the load resistance transformation, and the impact of the LLC setup on the sensitivity of the generator to changes in the charge resistance caused by heating. The procedure for initial selection of the resonance system parameters is presented. We also consider the possibility of automatic correction by the generator of the LLC system parameters, in order to limit the effect of changes in the IHS parameters on the degree of source–load energy matching. We describe cascade power control algorithms based on the use of Field Programmable Gate Array (FPGA) systems, which enable the optimal control of energy matching. Our study is based on theoretical considerations, numerical simulations, and experimental verification using a 30 kW model.

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Section: Resonant Generator With Controlled Llc Systemmentioning

confidence: 99%