Optimal design of controller for automatic voltage regulator performance enhancement: a survey

Electrical Engineering, Journal Year: 2024, Volume and Issue: 106(4), P. 3705 - 3720

Published: Jan. 4, 2024

Language: Английский

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A novel opposition-based hybrid cooperation search algorithm with Nelder–Mead for tuning of FOPID-controlled buck converter

Transactions of the Institute of Measurement and Control, Journal Year: 2024, Volume and Issue: 46(10), P. 1924 - 1942

Published: Jan. 18, 2024

This paper introduces a novel metaheuristic algorithm named the opposition-based cooperation search with Nelder–Mead (OCSANM). enhanced builds upon (CSA) by incorporating learning (OBL) and simplex method. The primary application of this is design fractional-order proportional–integral–derivative (FOPID) controller for buck converter system. A comprehensive evaluation conducted using statistical boxplot analysis, nonparametric tests convergence response comparisons to assess algorithm’s performance confirm its superiority over CSA. Furthermore, FOPID-controlled system based on OCSANM compared two top-performing algorithms: one hybridized approach Lévy flight distribution simulated annealing (LFDSA) other employing improved hunger games (IHGS) algorithm. comparison encompasses transient frequency responses, indices robustness analysis. results reveal notable advantages proposed OCSANM-based system, including 25.8% 8.7% faster rise times, 26% 8.8% settling times best-performing approaches, namely LFDSA IHGS, respectively. In addition, exhibits 34.7% 9.6% wider bandwidth than existing approaches-based systems. Incorporating voltage current responses converter’s switched circuit FOPID further underscores effectiveness. To provide assessment, also compares approach’s time domain those 17 state-of-the-art approaches attempting control systems similarly. These findings affirm effectiveness in designing controllers

Language: Английский

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

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(5), P. e0299009 - e0299009

Published: May 28, 2024

Maintaining stable voltage levels is essential for power systems’ efficiency and reliability. Voltage fluctuations during load changes can lead to equipment damage costly disruptions. Automatic regulators (AVRs) are traditionally used address this issue, regulating generator terminal voltage. Despite progress in control methodologies, challenges persist, including robustness response time limitations. Therefore, study introduces a novel approach AVR control, aiming enhance efficiency. A custom optimizer, the quadratic wavelet-enhanced gradient-based optimization (QWGBO) algorithm, developed. QWGBO refines (GBO) by introducing exploration exploitation improvements. The algorithm integrates interpolation mutation wavelet strategy search Extensive tests using benchmark functions demonstrate QWGBO’s effectiveness optimization. Comparative assessments against existing algorithms recent techniques confirm superior performance. In coupled with cascaded real proportional-integral-derivative second order derivative (RPIDD 2 ) fractional-order proportional-integral (FOPI) controller, precision, stability, quick response. algorithm’s performance verified through rigorous simulations, emphasizing its optimizing complex engineering problems. analyses highlight superiority over algorithms, positioning it as promising solution system contributing advancement of robust efficient systems.

Language: Английский

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Modified fractional order PID structure for non‐integer model bioreactor control

The Canadian Journal of Chemical Engineering, Journal Year: 2024, Volume and Issue: 102(9), P. 3173 - 3191

Published: April 4, 2024

Abstract Temperature control for fermentation is crucial as it directly affects microorganism growth, productivity, and metabolic activity. This work proposes a modified fractional order proportional‐integral‐derivative (FOPID‐DF) controller that incorporates the system model in loop configuration utilizing differential filter precise temperature within narrow operating range. PID, PID (FOPID), (MFOPID), internal (IMC) controllers were also designed comparative analysis. The simulation results demonstrated proposed FOPID‐DF outperforms other controllers, shown by 22.33% reduction integral absolute error (IAE) 29.06% decrease square (ISE) compared to FOPID various improved performance indicators. Parameter variation noise analysis highlighted ability of maintain stability under changing conditions. outcomes suggested excels control, ensuring optimal growth

Language: Английский

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A Novel AVR System Utilizing Fuzzy PIDF Enriched by FOPD Controller Optimized via PSO and Sand Cat Swarm Optimization Algorithms

Energies, Journal Year: 2025, Volume and Issue: 18(6), P. 1337 - 1337

Published: March 8, 2025

Power system stability is managed through various control loops, including the Automatic Voltage Regulator (AVR), which regulates terminal voltage of synchronous generators. This study integrated Fuzzy Logic Control (FLC) and a Proportional–Integral–Derivative controller with Filtered derivative action (PIDF) to propose hybrid PIDF enhanced by Fractional-Order Proportional-Derivative (FOPD) for AVR applications. For first time, newly introduced Sand Cat Swarm Optimization (SCSO) algorithm was applied tune parameters proposed fuzzy controller. The SCSO has been recognized as powerful optimization tool demonstrated success across engineering well-known Particle (PSO) also utilized in this optimize gains plus FOPD novel configuration that designed be robust technique achieve an excellent performance. In research, + optimized using PSO algorithms minimizing Integral Time Absolute Error (ITAE) objective function enhance overall performance systems. A comparative analysis conducted evaluate superiority approach benchmarking results against those other controllers reported literature. Furthermore, robustness assessed under parametric uncertainties varying load disturbances. Also, its examined disturbances signal. demonstrate tuned delivers exceptional controller, outperforming controllers. Additionally, findings confirm uncertainties, establishing potential successful implementation real-time

Language: Английский

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Modified Fractional‐Order PID Controller Design for the Mixing Tank Process

Chemical Engineering & Technology, Journal Year: 2025, Volume and Issue: unknown

Published: May 5, 2025

Abstract Controlling multiple input–multiple output (MIMO) processes is challenging due to loop interactions. This study explores a modified fractional‐order PID (MFOPID) controller for two‐input, two‐output mixing tank system. MFOPID design involves individual controllers based on the Nelder–Mead algorithm. Relative gain array analysis optimizes interactions, complemented by simplified decoupler. Comparative evaluation against Ziegler–Nichols, internal model control, and standard FOPID demonstrates superior performance of offering smoother signals demonstrating significant improvement in various indices. These findings underscore efficacy enhancing control MIMO systems.

Language: Английский

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

Mathematics, Journal Year: 2023, Volume and Issue: 11(23), P. 4810 - 4810

Published: Nov. 28, 2023

This work introduces an innovative approach that unites a PIDND2N2 controller and the balanced arithmetic optimization algorithm (b-AOA) to enhance stability of automatic voltage regulator (AVR) system. The controller, tailored for precision, stability, responsiveness, mitigates limitations conventional methods. b-AOA optimizer is obtained through integration pattern search elite opposition-based learning strategies into algorithm. optimizes parameters AVR system’s response, harmonizing exploration exploitation. Extensive assessments, including evaluations on 23 classical benchmark functions, demonstrate efficacy b-AOA. It consistently achieves accurate solutions, exhibits robustness in addressing wide range problems, stands out as promising choice various applications. In terms system, comparative analyses highlight superiority proposed transient response characteristics, with shortest rise settling times zero overshoot. Additionally, excels frequency ensuring robust broader bandwidth. Furthermore, compared state-of-the-art control methods showcasing impressive performance. These results underscore significance this work, setting new by advancing reliability power systems.

Language: Английский

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Modified and Improved TID Controller for Automatic Voltage Regulator Systems

Fractal and Fractional, Journal Year: 2024, Volume and Issue: 8(11), P. 654 - 654

Published: Nov. 11, 2024

This paper proposes a fractional order integral-derivative plus second-order derivative with low-pass filters and tilt controller called IλDND2N2-T to improve the control performance of an automatic voltage regulator (AVR). In this study, equilibrium optimisation (EO), multiverse (MVO), particle swarm (PSO) algorithms are used optimise parameters proposed statistical tests performed data obtained from application these three AVR problem. Afterwards, is demonstrated by comparing transient responses results in recently published papers. addition, extra disturbances such as frequency deviation, load variation, short circuit faults generator applied system. The has outperformed compared against disturbances. Finally, robustness test terms deterioration system parameters. show that outperforms controllers under all conditions exhibits robust effect on perturbed

Language: Английский

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

Published: Nov. 7, 2023

This work introduces an innovative approach that unites a PIDND2N2 controller and the balanced arithmetic optimization algorithm (b-AOA) to enhance stability of automatic voltage regulator (AVR) system. The controller, tailored for precision, stability, responsiveness, mitigates limitations conventional methods. b-AOA optimizer is obtained through integration pattern search elite opposition-based learning strategies into algorithm. optimizes parameters AVR system's response, harmonizing exploration exploitation. Extensive assessments, including evaluations on 23 classical benchmark functions, demonstrate efficacy b-AOA. It consistently achieves accurate solutions, exhibits robustness in addressing wide range problems, stands out as promising choice various applications. In terms system, comparative analyses highlight superiority proposed transient response characteristics, with shortest rise settling times zero overshoot. Additionally, excels frequency ensuring robust broader bandwidth. Furthermore, compared state-of-the-art control methods showcasing impressive performance. These important results underscore significance this work, setting new by advancing reliability power systems.

Language: Английский

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