Enhancing transient response performance of automatic voltage regulator system by using a novel control design strategy

Can, Özay; Andiç, Cenk; Ekinci, Serdar; İzci, Davut

doi:10.1007/s00202-023-01777-8

Cited by 17 publications

(9 citation statements)

References 30 publications

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“…where 𝛽 is a balancing factor equals to 1 [40], 𝐸 𝑠𝑠 is the steady state error, 𝑂𝑆 is percent overshoot, 𝑇 𝑠𝑡 is the settling time and 𝑇 𝑟𝑡 is the rise time. The implementation procedure showing the PID controlled three-tank system using 𝐹 objective function is depicted in Fig.…”

Section: Objective Function and Recommended Pdo-based Pid Controller ...mentioning

confidence: 99%

Optimizing Three-Tank Liquid Level Control: Insights from Prairie Dog Optimization

Izci,

Ekinci

2023

IJRCS

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The management of chemical process liquid levels poses a significant challenge in industrial process control, affecting the efficiency and stability of various sectors such as food processing, nuclear power generation, and pharmaceutical industries. While Proportional-Integral-Derivative (PID) control is a widely-used technique for maintaining liquid levels in tanks, its efficacy in optimizing complex and nonlinear systems has limitations. To overcome this, researchers are exploring the potential of metaheuristic algorithms, which offer robust optimization capabilities. This study introduces a novel approach to liquid level control using the Prairie Dog Optimization (PDO) algorithm, a metaheuristic algorithm inspired by prairie dog behavior. The primary objective is to design and implement a PID-controlled three-tank liquid level system that leverages PDO to regulate liquid levels effectively, ensuring enhanced stability and performance. The performance of the proposed system is evaluated using the ZLG criterion, a time domain metric-based objective function that quantifies the system's efficiency in maintaining desired liquid levels. Several analysis techniques are employed to understand the behavior of the system. Convergence curve analysis assesses the PDO-controlled system's convergence characteristics, providing insights into its efficiency and stability. Statistical analysis determines the algorithm's reliability and robustness across multiple runs. Stability analysis from both time and frequency response perspectives further validates the system's performance. A comprehensive comparison study with state-of-the-art metaheuristic algorithms, including AOA-HHO, CMA-ES, PSO, and ALC-PSODE, is conducted to benchmark the performance of PDO. The results highlight PDO's superior convergence, stability, and optimization capabilities, establishing its efficacy in real-world industrial applications. The research findings underscore the potential of PDO in PID control applications for three-tank liquid level systems. By outperforming benchmark algorithms, PDO demonstrates its value in industrial control scenarios, contributing to the advancement of metaheuristic-based control techniques and process optimization. This study opens avenues for engineers and practitioners to harness advanced control solutions, thereby enhancing industrial processes and automation.

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Section: Objective Function and Recommended Pdo-based Pid Controller ...mentioning

confidence: 99%

Optimizing Three-Tank Liquid Level Control: Insights from Prairie Dog Optimization

Izci,

Ekinci

2023

IJRCS

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“…Maintaining nominal voltage levels within electrical power systems is a fundamental requirement for ensuring the efficient and reliable performance of the entire power infrastructure [1][2][3]. The deviation in terminal voltage of alternators during load changes represents a significant challenge, with consequences ranging from equipment damage to operational disruptions and costly downtime [4].…”

Section: Introductionmentioning

confidence: 99%

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

Ekinci,

Snášel,

Rizk-Allah

et al. 2024

PLoS ONE

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Maintaining stable voltage levels is essential for power systems’ efficiency and reliability. Voltage fluctuations during load changes can lead to equipment damage and costly disruptions. Automatic voltage regulators (AVRs) are traditionally used to address this issue, regulating generator terminal voltage. Despite progress in control methodologies, challenges persist, including robustness and response time limitations. Therefore, this study introduces a novel approach to AVR control, aiming to enhance robustness and efficiency. A custom optimizer, the quadratic wavelet-enhanced gradient-based optimization (QWGBO) algorithm, is developed. QWGBO refines the gradient-based optimization (GBO) by introducing exploration and exploitation improvements. The algorithm integrates quadratic interpolation mutation and wavelet mutation strategy to enhance search efficiency. Extensive tests using benchmark functions demonstrate the QWGBO’s effectiveness in optimization. Comparative assessments against existing optimization algorithms and recent techniques confirm QWGBO’s superior performance. In AVR control, QWGBO is coupled with a cascaded real proportional-integral-derivative with second order derivative (RPIDD2) and fractional-order proportional-integral (FOPI) controller, aiming for precision, stability, and quick response. The algorithm’s performance is verified through rigorous simulations, emphasizing its effectiveness in optimizing complex engineering problems. Comparative analyses highlight QWGBO’s superiority over existing algorithms, positioning it as a promising solution for optimizing power system control and contributing to the advancement of robust and efficient power systems.

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“…Furthermore, adding the second-order derivative term to the classic FOPID controller leads to obtaining the FOPIDD2 controller in an automatic voltage regulation system, as the authors have demonstrated in Refs. [ 21 , 22 ]. Also, the authors in Refs.…”

Section: Introductionmentioning

confidence: 99%

“…Also, the usage of one of the most recent metaheuristic algorithms called the reptile search algorithm (RSA), is demonstrated in Ref. [ 22 ]. Furthermore, the Runge-Kutta optimizer and Bode's ideal reference model are used in Ref.…”

Section: Introductionmentioning

confidence: 99%

“…The amplifier, exciter, and sensor are presented with first-order transfer functions in Refs. [ [2] , [3] , [4] , [5] , [6] , [7] , [8] , [9] , [10] , [11] , [12] , [13] , [14] , [15] , [16] , [17] , [18] , [19] , [20] , [21] , [22] , [23] , [24] , [25] , [26] , [27] , [28] , [29] , [30] , [31] , [32] , [33] ]. The generator is also presented with a first-order transfer function in Refs.…”

Section: Introductionmentioning

confidence: 99%

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Optimal tuning of the novel voltage regulation controller considering the real model of the automatic voltage regulation system

Micev¹,

Ćalasan²,

Radulović³

2023

Heliyon

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Enhancing transient response performance of automatic voltage regulator system by using a novel control design strategy

Cited by 17 publications

References 30 publications

Optimizing Three-Tank Liquid Level Control: Insights from Prairie Dog Optimization

Optimizing Three-Tank Liquid Level Control: Insights from Prairie Dog Optimization

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

Optimal tuning of the novel voltage regulation controller considering the real model of the automatic voltage regulation system

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