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Model Predictive Control for MP Buck Converters. G. Catalanotto.
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ModelPredictive Control forMP Buck Converters G. Catalanotto The purpose of this work is to use the predictive control to take advantage of the future information of the voltage reference in order to improve the reference tracking. The control, based on the MPC theory attempts to increase the bandwidth of the conventional regulators by using the future information of the reference, which is supposed to be known in advance. A method based on Genetic Algorithm for designing a controller is proposed. A comparison with a conventional regulator is performed controlling a four-phase Buck converter. ModelsforMulti-phaseBuckconverter • Since a highclosed-loopbandwith isseeked, themodelusedtodesignthecontroller has totakeintoaccounthighfrequencybehaviour of SMPS • TheMulti-FrequencysmallsignalmodelisusedtomodeltheConverter • Duetopossiblephasemismathesthemaximumfrequencyreachableassumedfor a Mulyi-phaseBuckisonethird of theswitchingfrequncy. • A discrete-time linear model has beenusedtoperforme on-line prediction oh futureoutput volatge DesignMethod SimulationResults Control Approach Control Architecture • The explicit MPC has been implemented on a FPGA Spartan-3: • Fix point number representation • Digital Multiphase Modulator based on a D/A prospective • A discrete-time linear model has beenusedtoperforme on-line predictionof futureoutput voltage CONCLUSIONS The proposed control approach seems to be able to improve the tracking performance of conventional regulator. The off-line design managed to decrease the architectural complexity. The control has been successfully implemented on a FPGA in order to reach 1Mhz frequency for each frequency. Soon, experimental results will be available.