Design and performance analysis of PID controller for an automatic voltage regulator system using simplified particle swarm optimization
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Publication:473439
DOI10.1016/J.JFRANKLIN.2012.06.008zbMath1300.93073OpenAlexW2085255923MaRDI QIDQ473439
Publication date: 24 November 2014
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2012.06.008
particle swarm optimization (PSO)automatic voltage regulator (AVR)many optimizing liaisons (MOL) algorithmproportional integral derivate (PID) controller
Related Items (10)
Fractional order PI λD μ controller with optimal parameters using Modified Grey Wolf Optimizer for AVR system ⋮ A novel performance criterion approach to optimum design of PID controller using cuckoo search algorithm for AVR system ⋮ A comprehensive survey on particle swarm optimization algorithm and its applications ⋮ A stochastic multi-parameters divergence method for online auto-tuning of fractional order \textit{PID} controllers ⋮ Total sliding-mode-based particle swarm optimization control for linear induction motor ⋮ Rao algorithm based optimal Multi‐term <scp>FOPID</scp> controller for automatic voltage regulator system ⋮ Enhanced speed control of a DC servo system using PI + DF controller tuned by stochastic fractal search technique ⋮ Robust PID design by chance-constrained optimization ⋮ Application of combinatorial interaction design for DC servomotor PID controller tuning ⋮ Controller tuning approach with robustness, stability and dynamic criteria for the original AVR system
Cites Work
- Application of non-dominated sorting genetic algorithm-II technique for optimal FACTS-based controller design
- Differential evolution algorithm for SSSC-based damping controller design considering time delay
- Comparative performance analysis of artificial bee colony algorithm for automatic voltage regulator (AVR) system
- Tabu search algorithm based PID controller tuning for desired system specifications
- Optimal location and controller design of STATCOM for power system stability improvement using PSO
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