Neural Network Based Control for Power Quality Improvement and Voltage Regulation in Multi Output Switched Mode Power Supply
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Medical electronic equipments and personal computers stand in need of switched mode power supplies (SMPS) with isolated and regulated voltages of ± 12V, ± 5V and + 3.3 V. In this paper a neural network controlled forward boost converter based SMPS of 175 W rating is proposed. The SMPS is designed to have isolated and regulated voltages of ± 12V and ± 5V suitable for PC power supply. Power quality in terms of, total harmonic distortion (THD) and input power factor and output voltage regulation are analyzed for variation in supply voltage and load conditions by simulating the proposed circuit in MAT LAB/Simulink software. To highlight the performance of the proposed multi output SMPS, it is compared with that of conventional controller. Simulation results prove the efficacy of the proposed neural network based control for multi output SMPS. Improved power quality in terms of THD, almost unity power factor and voltage regulation are achieved for varying source and load condition.
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