Adaptive Fuzzy Logic Control for H-Bridge Inverter in Single Phase Motor Applications under Dynamic Load Conditions
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Abstract
The effective control of H-Bridge inverters is critical for the efficient operation of motor-driven systems, especially under varying load conditions. Traditional control strategies, such as Proportional-Integral-Derivative (PID) controllers, often fail to deliver the desired performance in systems characterized by nonlinearities and time-variant dynamics. This paper investigates the application of Fuzzy Logic Control (FLC) in regulating the output of an H-Bridge inverter connected to a single-phase motor operating under dynamic load conditions. Unlike conventional control methods, fuzzy logic provides a flexible, rule-based framework that adapts to system uncertainties and nonlinear behaviors. In this study, a single-phase motor rated at 230 V and 50 Hz is subjected to dynamic torque variations introduced through a step signal. The performance of the fuzzy logic controller is analyzed in terms of dynamic response, harmonic distortion, and voltage regulation. Simulation results demonstrate that FLC achieves superior performance compared to conventional controllers, with reduced overshoot, faster settling times, and significantly lower total harmonic distortion (THD).
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References
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