Baran Hekimoğlu
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Designing a Filtered Proportional–Integral–Derivative Controller With Disturbance Rejection for a Nonideal Buck Converter Utilizing an Upgraded Genetic Algorithm and Pattern Search Open
This research introduces an enhanced metaheuristic algorithm named GAPS, a combination of the genetic algorithm (GA) with tournament selection (TS) and the pattern search (PS) algorithm. The primary objective is improving GA's capacity for…
Improved Cooperation Search Optimization Algorithm for Infinite Impulse Response System Identification Open
This study addresses the challenges of infinite impulse response (IIR) system identification by introducing an improved cooperation search algorithm (ICSA). Improved cooperation search algorithm enhances the original cooperation search alg…
FOPID Controller Design for a Buck Converter System Using a Novel Hybrid Cooperation Search Algorithm with Pattern Search for Parameter Tuning Open
This research introduces a novel metaheuristic algorithm, OCSAPS, representing an upgraded cooperation search algorithm (CSA) version. OCSAPS incorporates opposition-based learning (OBL) and pattern search (PS) algorithms. The proposed alg…
View article: Optimal PID controller for the DC-DC buck converter using the improved sine cosine algorithm
Optimal PID controller for the DC-DC buck converter using the improved sine cosine algorithm Open
This paper presents an improved Sine Cosine Algorithm (ISCA) towards optimization of a DC-DC buck converter with employment of the proportional-integral-derivative (PID) controller. Limitations of the conventional Sine Cosine Algorithm (SC…
Determination of AVR System PID Controller Parameters Using Improved Variants of Reptile Search Algorithm and a Novel Objective Function Open
Two novel improved variants of reptile search algorithm (RSA), RSA with opposition-based learning (ORSA) and hybrid ORSA with pattern search (ORSAPS), are proposed to determine the proportional, integral, and derivative (PID) controller pa…
A new artificial ecosystem-based optimization integrated with Nelder-Mead method for PID controller design of buck converter Open
Over the last decade, there has been a constant development in control techniques for DC-DC power converters which can be classified as linear and nonlinear. Researchers focus on obtaining maximum efficiency using linear control techniques…
Implementing the Henry Gas Solubility Optimization Algorithm for Optimal Power System Stabilizer Design Open
This study assesses the feasibility of the Henry gas solubility optimization (HGSO), a recent novel metaheuristic algorithm, to achieve optimal parameters for a power system stabilizer (PSS) employed in a power system. To do so, the design…
Opposition based Henry gas solubility optimization as a novel algorithm for PID control of DC motor Open
This paper proposes Henry gas solubility optimization with opposition-based learning (OBL/HGO) as a novel optimization approach for DC motor speed regulation. The proposed approach was used to obtain the best parameters (proportional, inte…
Opposition-based artificial electric field algorithm and its application to FOPID controller design for unstable magnetic ball suspension system Open
In this study, an improved version of artificial electric field (AEF) algorithm, named as opposition-based AEF (ObAEF), has been proposed for the first time ever to tune a fractional order PID (FOPID) controller used in a magnetic ball sus…
Optimally Designed PID Controller for a DC-DC Buck Converter via a Hybrid Whale Optimization Algorithm with Simulated Annealing Open
A new design approach is presented in this study for tuning of proportional-integral-derivative (PID) controller parameters in a DC–DC buck converter utilizing a hybrid whale optimization algorithm (WOA) with simulated annealing (SA), name…
Improved Kidney-Inspired Algorithm Approach for Tuning of PID Controller in AVR System Open
This paper proposes a novel tuning design of proportional integral derivative (PID) controller via an improved kidney-inspired algorithm (IKA) with a new objective function. The main objective of the proposed approach is to optimize the tr…
View article: Optimal Tuning of Fractional Order PID Controller for DC Motor Speed Control via Chaotic Atom Search Optimization Algorithm
Optimal Tuning of Fractional Order PID Controller for DC Motor Speed Control via Chaotic Atom Search Optimization Algorithm Open
In this paper, atom search optimization (ASO) algorithm and a novel chaotic version of it [chaotic ASO (ChASO)] are proposed to determine the optimal parameters of the fractional-order proportional+integral+derivative (FOPID) controller fo…
Path Planning for Industrial Robot Milling Applications Open
Recently, the use of industrial robots as an alternative to computer numerical controlled (CNC) workbenches has been increasing due to the lack of access capabilities of CNC, their large masses and costs. Computer-aided design (CAD) and co…