This paper depicts a self-tuningadaptive control method along with a novel robust procedure to system identification which is applied to a single-phase full-bridge Inverter with LC filter by Pulse Width Modulation (P...
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This paper depicts a self-tuningadaptive control method along with a novel robust procedure to system identification which is applied to a single-phase full-bridge Inverter with LC filter by Pulse Width Modulation (PWM). Moreover, an LC filter is designed to decrease the disturbing harmonics produced by PWM which, the stability of the filter can be noted as an important issue. On the other hand, a dynamic change of the inverter can lead to instability issues in which the proposed approach can overcome this problem and perform with a great response. Due to the parametric uncertainty on a full-bridge inverter and other disturbing factors, a digital adaptivecontroller is proposed which is performed by minimum degree pole placement (MDPP) technique combined with Improved Exponential Regressive Least identification (IERLS) algorithm. To prevent the undesired influences of high variance noises and disturbance on the performance of the identification approach, a robust identification algorithm is introduced which is capable of keeping the parametric estimation process in a desired range. Additionally, to deal with the variations of supply DC voltage, a proportional-integral-derivative (PID) controller is designed. Finally, the experimental and simulation results are performed by Matlab-Simulink to show the validation of the work.
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