Journal ArticleDOI
A novel technique to design cuckoo search based FOPID controller for AVR in power systems
TLDR
It is shown that the proposed Controller for automatic voltage regulator (AVR) provides the better time response characteristics than the other existing techniques.About:
This article is published in Computers & Electrical Engineering.The article was published on 2017-07-01. It has received 102 citations till now. The article focuses on the topics: PID controller & Cuckoo search.read more
Citations
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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
Sine-cosine algorithm-based optimization for automatic voltage regulator system:
TL;DR: 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.
Journal ArticleDOI
Optimal design of automatic voltage regulation controller using hybrid simulated annealing – Manta ray foraging optimization algorithm
Mihailo Micev,Martin Ćalasan,Ziad M. Ali,Ziad M. Ali,Hany M. Hasanien,Shady H. E. Abdel Aleem +5 more
TL;DR: A hybrid metaheuristic method for optimal tuning of four different types of proportional-integral-derivative (PID) controller for an automatic voltage regulator (AVR) system based on the manta ray foraging optimization algorithm which is merged with the simulated annealing algorithm.
Proceedings ArticleDOI
Grasshopper optimization algorithm for automatic voltage regulator system
Baran Hekimoglu,Serdar Ekinci +1 more
TL;DR: The proposed approach is a simple and effective algorithm that is able to solve many optimization problems even those with unknown search spaces effectively and provides high quality tuning of optimal PID controller parameters.
Journal ArticleDOI
Fractional Order PID Controller Design for an AVR System Using Chaotic Yellow Saddle Goatfish Algorithm
TL;DR: Results of the simulations undoubtedly show that the FopID controller tuned with the proposed Chaotic Yellow Saddle Goatfish Algorithm (C-YSGA) outperforms FOPID controllers tuned by other algorithms, in all of the previously mentioned performance tests.
References
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Book
Nature-Inspired Metaheuristic Algorithms
TL;DR: This book reviews and introduces the state-of-the-art nature-inspired metaheuristic algorithms in optimization, including genetic algorithms, bee algorithms, particle swarm optimization, simulated annealing, ant colony optimization, harmony search, and firefly algorithms.
Journal ArticleDOI
Fractional-order systems and PI/sup /spl lambda//D/sup /spl mu//-controllers
TL;DR: In this article, a fractional-order PI/sup/spl lambda/D/sup /spl mu/controller with fractionalorder integrator and fractional order differentiator is proposed.
Journal ArticleDOI
Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems
TL;DR: The performance of the CS algorithm is further compared with various algorithms representative of the state of the art in the area and the optimal solutions obtained are mostly far better than the best solutions obtained by the existing methods.
Book ChapterDOI
Comparison between Genetic Algorithms and Particle Swarm Optimization
Russell C. Eberhart,Yuhui Shi +1 more
TL;DR: This paper compares two evolutionary computation paradigms: genetic algorithms and particle swarm optimization, and suggests ways in which performance might be improved by incorporating features from one paradigm into the other.
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.