Journal ArticleDOI
Sine-cosine algorithm-based optimization for automatic voltage regulator system:
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TLDR
A novel design method, sine-cosine algorithm (SCA) is presented in this paper to determine optimum proportional-integral-derivative (PID) controller parameters of an automatic voltage regulator (AVR) system and was found efficient and robust in improving the transient response of AVR system.Abstract:
A novel design method, sine-cosine algorithm (SCA) is presented in this paper to determine optimum proportional-integral-derivative (PID) controller parameters of an automatic voltage regulator (AV...read more
Citations
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Journal ArticleDOI
Optimal Tuning of Fractional Order PID Controller for DC Motor Speed Control via Chaotic Atom Search Optimization Algorithm
TL;DR: The numerical simulations of the proposed ChASO-FOPID and ASO-fOPID controllers for the dc motor speed control system demonstrated the superior performance of both the chaotic ASO and the original ASO, respectively.
Journal ArticleDOI
Improved Kidney-Inspired Algorithm Approach for Tuning of PID Controller in AVR System
Serdar Ekinci,Baran Hekimoglu +1 more
TL;DR: The main objective of the proposed approach is to optimize the transient response of the AVR system by minimizing the maximum overshoot, settling time, rise time and peak time values of the terminal voltage, and eliminating the steady state error.
Journal ArticleDOI
FOPID controller with fractional filter for an automatic voltage regulator
Mustafa Sinasi Ayas,Erdinc Sahin +1 more
TL;DR: It is clear that the fractional filter in the proposed SCA-FOPIDFF controller has significantly improve the AVR system performance and that the proposed controller can be successfully applied to the A VR system.
Journal ArticleDOI
A comprehensive survey of sine cosine algorithm: variants and applications
TL;DR: Sine Cosine Algorithm (SCA) as mentioned in this paper is a recent meta-heuristic algorithm inspired by the proprieties of trigonometric sine and cosine functions, which has attracted great attention from researchers and has been widely used to solve different optimization problems in several fields.
References
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Journal ArticleDOI
SCA: A Sine Cosine Algorithm for solving optimization problems
TL;DR: The SCA algorithm obtains a smooth shape for the airfoil with a very low drag, which demonstrates that this algorithm can highly be effective in solving real problems with constrained and unknown search spaces.
Journal ArticleDOI
A particle swarm optimization approach for optimum design of PID controller in AVR system
TL;DR: The proposed PSO method was indeed more efficient and robust in improving the step response of an AVR system and had superior features, including easy implementation, stable convergence characteristic, and good computational efficiency.
Journal ArticleDOI
An improved Opposition-Based Sine Cosine Algorithm for global optimization
TL;DR: An improved version of SCA is presented that considers the opposition based learning (OBL) as a mechanism for a better exploration of the search space generating more accurate solutions.
Journal ArticleDOI
Comparative performance analysis of artificial bee colony algorithm for automatic voltage regulator (AVR) system
TL;DR: It is shown that the ABC algorithm is successfully applied to the AVR system for improving the performance of the controller and shows a better tuning capability than the other similar population based optimization algorithms for this control application.
Journal ArticleDOI
Design and performance analysis of PID controller for an automatic voltage regulator system using simplified particle swarm optimization
TL;DR: The analysis results reveal that the proposed MOL based PID controller for the AVR system performs better than the other similar recently reported population based optimization algorithms.
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