Fast PID Tuning of AVR System Using Memory-Based Smoothed Functional Algorithm DOI
Muhammad Shafiqul Islam, Mohd Ashraf Ahmad,

Mok Ren Hao

et al.

Published: July 6, 2024

Language: Английский

Optimized FOPID controller for steam condenser system in power plants using the sinh-cosh optimizer DOI Creative Commons

Serdar Ekinci,

Davut İzci, Veysel Gider

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 26, 2025

Steam condensers in power plants are crucial for improving the efficiency of generation cycle by condensing and recycling steam from turbine. We used fractional-order proportional-integral-derivative (FOPID) controller to regulate pressure inside condenser system. adopted sinh-cosh optimizer (SCHO) tune this controller. analyzed fluctuations transient responses verify system balance between different operational states. Several well-known algorithms, including gravitational search algorithm, whale optimization manta ray foraging aquila optimizer, tested against SCHO. The simulation demonstrates that SCHO-based method outperforms other approaches terms integral time-weighted absolute error (ITAE), normalized overshoot, settling time. FOPID attained a minimal 14.80 ITAE, minimum percentage overshoot 6.06%, shortest time 17.66 s. stated values confirm offers superior more consistent performance under study. Nonlinear analyses further demonstrate efficacy proposed circulating water outlet temperature, cooling flow rate, heat pressure.

Language: Английский

Citations

0

Optimized Double-Stage Fractional Order Controllers for DFIG-Based Wind Energy Systems: A Comparative Study DOI Creative Commons
Mohammed Dahane, Abdelkrim Benali, Hamza Tédjini

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104584 - 104584

Published: March 1, 2025

Language: Английский

Citations

0

A Novel AVR System Utilizing Fuzzy PIDF Enriched by FOPD Controller Optimized via PSO and Sand Cat Swarm Optimization Algorithms DOI Creative Commons
Mokhtar Shouran,

Mohammed Alenezi,

Mohamed Naji Muftah

et al.

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

Citations

0

Optimized PID Controller of DC-DC Buck Converter based on Archimedes Optimization Algorithm DOI Creative Commons

Ling Kuok Fong,

Muhammad Shafiqul Islam, Mohd Ashraf Ahmad

et al.

International Journal of Robotics and Control Systems, Journal Year: 2023, Volume and Issue: 3(4), P. 658 - 672

Published: Sept. 23, 2023

This research assesses the suitability of Archimedes Optimization Algorithm (AOA) as a metaheuristic technique to fine-tune PID controller in closed-loop DC-DC buck converter. The converter's core function is regulate output voltage, ensuring stability despite load fluctuations and input voltage changes. operational effectiveness converter hinges significantly on gain settings determining optimal setting for non-trivial task. For robust performance, necessitates settings, attainable through optimization. algorithm aids identifying ideal proportional, integral, derivative gains based varying conditions. Leveraging algorithm, optimized minimize errors, reduce overshoot, enhance response time. proposed controller, using AOA, contrasted with controllers tuned via alternative algorithms including hybrid Nelder-Mead method (AEONM), artificial ecosystem-based optimization (AEO), differential evolution (DE), particle swarm optimizer (PSO). Performance evaluation involves injecting disturbance into changes up 20%. Results demonstrate superiority AOA-optimized recovery. It demonstrates faster time outstanding regulation while also exhibiting minimal performance degradation during study concludes that AOA surpasses other methods tuning converters.

Language: Английский

Citations

8

A Novel Balanced Arithmetic Optimization Algorithm-Optimized Controller for Enhanced Voltage Regulation DOI Creative Commons
Serdar Ekinci,

Haluk Çetin,

Davut İzci

et al.

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

Citations

7

Improved Performance of the PMSM Sensorless Control System Based on DTC Strategy and SMC Using Fractional Order and Fractal Dimension Calculus DOI Open Access
Marcel Nicola, Claudiu-Ionel Nicola, Dan Selişteanu

et al.

Published: May 29, 2024

Starting from the fact that one of global control strategies Permanent Magnet Synchronous Motor (PMSM), namely Direct Torque Control (DTC) type strategy, is characterised by inner flux and torque loop usually uses hysteresis ON-OFF controllers oscillations introduced them have to be cancelled out outer speed controller (which a PI whose performance good around operating points for relatively small variations external parameters disturbances caused in particular load variation), while retaining advantages DTC this paper presents improvement PMSM sensorless system using Proportional Integrator (PI), Equilibrium Optimizer Algorithm (EOA), Fractional Order (FO) PI, Tilt Integral Derivative (TID) FO Lead-Lag constant flux, Sliding Mode (SMC) FOSMC variable flux. The indicators are usual ones: response time, settling overshoot, steady-state error ripple, plus another given fractal dimension (FD) rotor signal, hypothesis FD controlled signal higher when provides better verified. also basic equations PMSM, based on which synthesis integer fractional controllers, an observer estimating speed, electromagnetic stator presented. comparison proposed systems demonstration parametric robustness performed numerical simulations Matlab/Simulink Simscape Electrical Modelling (FOMCON). Real-time embedded TMS320F28379D demonstrates strategy complete hardware-in-the-loop (HIL) implementation.

Language: Английский

Citations

2

Advanced extraction of PV parameters’ models based on electric field impacts on semiconductor conductivity using QIO algorithm DOI Creative Commons

Ahmed Saeed Abdelrazek Bayoumi,

Ragab A. El‐Sehiemy,

Maged El‐Kemary

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: July 4, 2024

This article presents a novel approach for parameters estimation of photovoltaic cells/modules using recent optimization algorithm called quadratic interpolation (QIOA). The proposed formula is dependent on variable voltage resistances (VVR) implementation the series and shunt resistances. reduced from effect electric field semiconductor conductivity should be included to get more accurate representation. Minimizing mean root square error (MRSE) between measured (I-V) dataset extracted (V-I) curve electrical model main goal current problem. unknown PV models under considered operating conditions are identified optimally QIOA. Two distinct types employed with normal low radiation conditions. VVR TDM (R.T.C. France) silicon at radiation, eleven optimized. Additionally, twelve optimized Q6-1380 multi-crystalline (MCS) (area 7.7 cm

Language: Английский

Citations

2

Parameter identification of thermoelectric modules using enhanced slime mould algorithm (ESMA) DOI Creative Commons

Dharswini Ponnalagu,

Mohd Ashraf Ahmad,

Julakha Jahan Jui

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102833 - 102833

Published: Sept. 1, 2024

Language: Английский

Citations

2

Modified and Improved TID Controller for Automatic Voltage Regulator Systems DOI Creative Commons
Abdülsamed Tabak

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

Citations

2

New design of an intelligent electromagnetic torque controller based on neural network and fractional calculus: variable-speed wind energy systems application DOI Creative Commons
Yattou El Fadili, Ismail Boumhidi

e-Prime - Advances in Electrical Engineering Electronics and Energy, Journal Year: 2024, Volume and Issue: 10, P. 100829 - 100829

Published: Nov. 13, 2024

Language: Английский

Citations

2