2017
DOI: 10.18535/ijecs/v6i3.14
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Implementation of PV - Based Boost Converter Using PI Controller with PSO Algorithm

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Cited by 22 publications
(19 citation statements)
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References 8 publications
(7 reference statements)
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“…Application of improved optimization techniques such as Adaptive Symbiotic Organism Search (ASOS) and Modified Group Hunting Search (MGHS) are validated in power system to tune controller parameters [12,13]. Various soft computing techniques and optimization techniques are adopted to enhance the performance of MPPT of PV module in [14][15][16][17][18][19].…”
Section: Literature Surveymentioning
confidence: 99%
“…Application of improved optimization techniques such as Adaptive Symbiotic Organism Search (ASOS) and Modified Group Hunting Search (MGHS) are validated in power system to tune controller parameters [12,13]. Various soft computing techniques and optimization techniques are adopted to enhance the performance of MPPT of PV module in [14][15][16][17][18][19].…”
Section: Literature Surveymentioning
confidence: 99%
“…This mode ends when the current flowing through winding N 2 and winding N 3 falls to zero at t=t 1 . 4 of the output diode D4 release energy, this is recycled [28]. The magnetizing inductor Lm begins to be discharged to capacitors C 1 and C 3 , and the current flow path is shown in Figure 3 (e).…”
Section: Ccm Operationmentioning
confidence: 99%
“…In fact, the Ziegler-Nichols tuning rules give an educated guess for parameter values and provide a starting point for fine tuning, greater than giving the final settings for K p and K i in a single shot. [22]. Table 1 and 2 show the effects of coefficients and effects of changing in control parameters of the controllers.…”
Section: Figure 4: Pi Controller With DC Motor (Pi)mentioning
confidence: 99%