An intelligent tuning scheme with a master/slave approach for efficient control of the automatic voltage regulator

Optimizing AVR system performance via a novel cascaded RPIDD2-FOPI controller and QWGBO approach

“…In addition to the comparative assessment against the algorithms used in the above analyses, further comparisons were made with recently reported optimization techniques in the literature (See Table 11 ). This techniques include hybrid atom search particle swarm optimization (h-ASPSO) based PID controller [ 46 ], improved marine predators algorithm (MP-SEDA)-tuned FOPID controller [ 47 ], modified artificial bee colony (IABC) based LOA-FOPID [ 48 ], equilibrium optimizer (EO) based TI λ DND 2 N 2 [ 23 ], whale optimization algorithm (WOA) based PIDA [ 49 ], symbiotic organism search (SOS) algorithm-based PID-F controller [ 50 ], mayfly optimization algorithm based PI λ1 I λ2 D μ1 D μ2 controller [ 25 ], Levy flight improved Runge-Kutta optimizer (L-RUN) based PIDD 2 controller with master/slave approach [ 51 ], particle swarm optimization based 2DOF-PI controller with amplifier feedback [ 52 ], modified artificial rabbits optimizer (m-ARO) based FOPIDD 2 controller [ 53 ], genetic algorithm (GA) based fuzzy PID controller [ 54 ], sine-cosine algorithm (SCA) based FOPID controller with fractional filter [ 55 ], imperialist competitive algorithm (ICA) based gray PID controller [ 56 ], Rao algorithm based multi‐term FOPID controller [ 57 ], whale optimization algorithm (WOA) based 2DOF-FOPI [ 58 ], chaotic yellow saddle goatfish algorithm (C-YSGA) based FOPID controller [ 59 ] and crow search algorithm (CSA) based FOPI controller [ 31 ]. The results indicate that the QWGBO algorithm outperforms several state-of-the-art optimization methods, demonstrating its effectiveness in AVR system control.…”

“…To validate the proposed approach's superiority, extensive comparative analyses (statistical, boxplot, convergence profile, Wilcoxon signed-rank test, transient and frequency responses, performance against varying input reference and external load disturbance, controller effort and robustness) were conducted against other competitive algorithms and recently reported optimization techniques. In addition to the comparative assessment against the algorithms used in the above analyses, further comparisons were made with recently reported 17 optimization techniques in the literature [23,25,31,[46][47][48][49][50][51][52][53][54][55][56][57][58][59]. The simulation results unequivocally highlight the QWGBO algorithm's superior performance in optimizing the AVR system, as evident from lower objective function values, excellent convergence, and statistical assessments as well as stability and robustness analyses.…”

“…The AVR system plays a pivotal role in regulating and controlling the generator's output voltage. Table 3 provides a comprehensive overview of the critical components of the AVR system, along with their corresponding transfer functions and adopted values [23,25,[46][47][48][49][50][51][52][53][54][55][56][57]. These components include the Amplifier, Exciter, Generator, and Sensor, each contributing to the overall control system.…”

“…https://doi.org/10.1371/journal.pone.0299009.t009PLOS ONEapproach[51], particle swarm optimization based 2DOF-PI controller with amplifier feedback[52], modified artificial rabbits optimizer (m-ARO) based FOPIDD 2 controller[53], genetic algorithm (GA) based fuzzy PID controller[54], sine-cosine algorithm (SCA) based FOPID controller with fractional filter[55], imperialist competitive algorithm (ICA) based gray PID controller[56], Rao algorithm based multi-term FOPID controller[57], whale optimization algorithm (WOA) based 2DOF-FOPI[58], chaotic yellow saddle goatfish algorithm (C-YSGA)…”

A Novel Balanced Arithmetic Optimization Algorithm-Optimized Controller for Enhanced Voltage Regulation

“…These controllers play a critical role in regulating and stabilizing the system voltage. The transfer functions of some of the most commonly reported controllers, cluding PID, PIDA, FOPID, PIDD 2 , and PIDND 2 N 2 , are, respectively, provided in Equ tions ( 34)- (38) [50,51]. In the context of the AVR system, several controller types have been reported and applied.…”