FPGA implementation of a gain-scheduled controller for transient optimization of resonant converters applied to induction heating

Domestic induction heating applications require an accurate control of the power delivered to the vessel to be heated, ensuring power topology operation under safety conditions. Particularly, this paper is focused on applying a power control of two induction heating loads in a dual-half bridge sharing a common resonant capacitor. This topology leads to a control strategy harder than the classical arrangement which features a dedicated resonant capacitor. A Phase Shift Square Wave Modulation (PSSWM) is performed to control the output powers of the vessels to be heated. Thus, the considered plant is a twoinput two-output (TITO) system. The two control inputs are (f sw , ) and the two outputs are (P 1 , P 2 ). Since the transfer function matrix is not diagonal, the Relative Gain Array (RGA) methodology is used to analyze if a multi-loop control is feasible. Due to the fact that the system is strongly coupled a centralized control must be applied. Therefore, the aim of the paper is to apply a decoupling control to handle the interactions. Simulation and experimental results in an induction heating prototype are performed in order to validate the proposed control technique.

2014 IEEE 15th Workshop on Control and Modeling for Power Electronics (COMPEL)

Section: Phase Shift Square Wave Modulationmentioning

confidence: 98%

Decoupling output power control of two series resonant inverters sharing resonant capacitor for domestic induction heating

Domínguez

Barragán

Otín

et al. 2014

“…The performance will be increased if the impedance is monitored on-line while the system is still working. Different on-line methods have already been developed but they are limited to one-phase systems and the impedance matrix is rather complex [9] [10]. Particle swarm optimization is used in [11] to achieve parameter identification of a system load in domestic induction heating, which equivalent single series resistanceinductance highly depends on temperature, pot material, etc.…”

Section: Introductionmentioning

confidence: 99%

Parameter Identification Method for a Three-Phase Induction Heating System

Dzung

IEEE Trans. on Ind. Applicat.

et al. 2015

This paper describes a new method for the on-line parameter estimation of an induction heating system. Simulations and experiments are presented in order to measure its impedance matrix for more exact control in closed loop. In previous papers, various parameter identification methods including off-line methods were introduced and compared for current inverters. It has been demonstrated that parameter identification is necessary to achieve good control of the inductor currents. A "pseudo-energy" method for a simple and fast implementation is compared to a classical "V/I with phase shift" method. They are experienced on a reduced power 3-phase coupled resonant system supplied with voltage inverters with satisfying results.

Section: Introductionmentioning

confidence: 99%

Parameter identification method for a 3-phase induction heating system

Dzung

2014 IEEE Industry Application Society Annual Meeting

et al. 2014

This paper describes a new method for the on-line parameter estimation of an induction heating system. Simulations and experiments are presented in order to measure its impedance matrix for more exact control in closed loop. In previous papers, various parameter identification methods including off-line methods were introduced and compared for current inverters. It has been demonstrated that parameter identification is necessary to achieve good control of the inductor currents. A new "pseudo-energy" method is experimented in comparison with a classical "V/I with phase shift" method on a reduced power 3-phase coupled resonant system supplied with voltage inverters.