@article{MAKHILLJEAS2018131216370,
    title = {Voltage Control of Buck Converter-Based Ant Colony Optimization for Self-Regulating Power Supplies},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {12},
    pages = {4463-4467},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.4463.4467},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.4463.4467},
    author = {Wisam,Omar A. and},
    keywords = {Buck converter,ant colony optimization,lead compensator,self-regulating power suppliers,consecution,implementation,characteristics},
    abstract = {The significance of self-regulating power suppliers is based on providing a constant output voltage
even under any source disturbance. Dc-dc converter with LC filter (buck converter) can provide constant
output voltages when use a proper closed loop control system. In this research a mathematical model of buck
converter is designed and simulated using MATLAB Simulink toolbox. Lead compensator is designed plus
Pulse Width Modulation (PWM) for controlling the output voltages. A new metaheuristic optimization
technique called Ant Colony Optimization (ACO) technique is proposed for tuning the parameters of lead
compensator. ACO optimally choose compensator parameters, gain, poles and zeros locations. The buck
converter are tested under variation in input voltages above and below its nominal value to show the
robustness of the compensator based ACO technique. The ACO strategy have many advantages like, fast
convergence, simple implementation, lower algorithm parameters are required as well as required lower
consecution time. The results show that the proposed approach has superior feature, including easy
implementation, stable convergence characteristics and very good computational performances efficiency, also
improving the transient and steady state behavior of the system.}
    }