2 D tracking system for solar panels using SVM implemented by motion assistant of LabVIEW

Santhosh, K. V.; Dutta, Tamal; Rajshekar, J S

doi:10.1109/icsipr.2013.6497931

Cited by 6 publications

(2 citation statements)

References 11 publications

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“…The mixture of the solar cells electrical qualities was rummage-sale to limit the insolation parameters. Jiao et al [32][33][34] also proposed a 2-axis sun-tracking scheme that kept the PV panel upright to the sun light by absolute and relative location sensors signal examination.…”

Section: Introductionmentioning

confidence: 99%

“…The paper numbers [1][2][3][4], [19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34], proposed the sun tracking system controller , dual-axis solar tracking development and Experimental Study for a Two-Axis Sun Tracker,whereas the the references [5][6][7][8][9][10][11][12][13][14][15][16][17][18] explanation for different techniques for control speeds, voltage position by fuzzy ,GA,PSO ,LQR and PLC -base fuzzy .In current years, devoted efforts have been made to reach effective solar photovoltaic (PV) schemes with enhanced performance. The paper numbers [28][29] to the end references explanation the hybrid of different techniques for example neural-fuzzy , Discrete-time ripple correlation , reference adaptive control, wavelet radial basis function neural networks, Radial basis function network based on time variant multi-objective particle swarm optimization and Differential Evolution algorithm based Radial Basis Function Networks for classification problems in particular, as a strategy for performance improvement, solar tracking system is researched in-depth to reach the improvement, solar tracking system efficiency and quality.…”

Section: Introductionmentioning

confidence: 99%

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PLC Fuzzy PID Controller of MPPT of Solar Energy Converter

Gizi

2021

Wseas Transactions on Systems and Control

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Development of the Maximum-Power-Point-Tracking (MPPT) scheme for solar mounts and rectifiers leftovers interesting. We design of high-sensitive fuzzy (HSF) Proportional-Integral-Derivative (PIDC) controller by means of Matlab and Programmable-Logic-Controllers (PLCs) for an adjusted of the MPPT scheme. This proposal is founded on a synergistic mixture of the Radial-Basis-Function-Neural Network (RBF-NN), Genetic Algorithm (GA), and Sugeno-Fuzzy-Logic (SFL) systems. The finest limits of PIDC and MPPT are strong-minded through optimization, wherever RBF-NN is adjusted by means of GA to reach the best key. Also, RBF-NN is rummage-sale to improve the PID limits (got from GA) for scheming HSFL-PIDC of the MPPT scheme. The HSFL-PIDC controller is extra planned to transfer in PLCs (STEP 75.5) for implementing the photovoltaic (PV) scheme. The all-inclusive scheme is extra tuned by solar limits under numerous operational circumstances to advance the solar recital in terms of accusing and correcting. The recital of the planned analog employed MPPT controller is assessed by interfacing it with a hardware prototype of dual photovoltaic (PV) scheme. The mixture controller configured the regulator signal founded on the interaction and in that way reduces the voltage mistake and the oscillation in the voltage regulator process. The achieved scheme is established to be well-organized and robust in refining solar charging and rectifying capability .

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Section: Introductionmentioning

confidence: 99%