The LQR Based On Optimized Tuning PD Controller For AVR System
Abstract
This study presents a Linear Quadratic Regulator (LQR) based on an optimizing PD controller to improve the dynamic performance of an automatic voltage regulation (AVR) system. Biogeography-based optimization (BBO) is used to adjust the controller gains, and the Mean Absolute Percentage Error (MAPE) cost function is used to ensure effective performance. To demonstrate the advantages of the suggested controller, a transient study was conducted and compared to a standard PD, LQR, and then used PD-LQR in terms of (Rising time, Settling time, Max Overshoot, and Peak time). Finally, simulations demonstrated that the PD-LQR gives satisfactory outcomes and a quicker reaction, which was evidently represented in the recommended controller's strong and steady performance in enhancing the transient analysis of the AVR system.
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