73af39f8-2a72-4b2f-bec6-286d9ed56eaa20210415074152171wsea:wseamdt@crossref.orgMDT DepositWSEAS TRANSACTIONS ON COMPUTERS2224-28721109-275010.37394/23205http://wseas.org/wseas/cms.action?id=40263220213220212010.37394/23205.2021.20https://wseas.org/wseas/cms.action?id=23297MPPT Of Solar Energy Converter With High-Sensitive Fuzzy PID ControllerAbdullahAl GiziThi-qar Technical Collage, Electromechanical Engineering Department, Thi-qar Technical College, High Way Street Southern Technical University, IraqProgress of the maximum-power-point-tracking (MPPT) structure for solar mounts and rectifiers leftovers stimulating. We recommend a original parametric project of high-sensitive-fuzzy (HSF) ProportionalIntegral-Derivative supervisor (PIDC) for well-organized operative of the MPPT scheme. This project is founded on a synergistic mixture of the genetic-algorithm (GA), radial-basis-function neural-network (RBFNN) and Sugeno-fuzzy-logic (SFL) schemes. The finest limits of MPPT and PIDC are strong-minded via optimization, where RBF-NN is adjusted using GA to attain the ideal-solution. Furthermore, RBF-NN is used to augment the PID limits (got from GA) for scheming HSFL-PIDC of the MPPT scheme. The entire scheme is additional tuned by solar strictures underneath numerous working circumstances to recover the solar recital in terms of accusing and correcting. The recital of the proposed analog-implemented MPPT manager is evaluated by applied the system with the dual photovoltaic (PV) system Matlab model. The accomplishment scheme is verified to be efficient and vigorous in refining solar charging and rectifying capacity415202141520211729https://www.wseas.org/multimedia/journals/computers/2021/a065105-002(2021).pdf10.37394/23205.2021.20.3https://www.wseas.org/multimedia/journals/computers/2021/a065105-002(2021).pdf10.1109/icma.2013.6618069M. Engin and D. Engin, "Optimization mechatronic sun tracking system controller's for improving performance," in 2013 IEEE International Conference on Mechatronics and Automation, 2013: IEEE, pp. 1108-1112. 10.1109/time-e.2013.6611961M. Zolkapli, S. Al-Junid, Z. Othman, A. Manut, and M. M. Zulkifli, "High-efficiency dual-axis solar tracking developement using Arduino," in Technology, Informatics, Management, Engineering, and Environment (TIME-E), 2013 International Conference on, 2013: IEEE, pp. 43-47. 10.1109/icceee.2013.6634025S. Elagib and N. Osman, "Design and implementation of dual axis solar tracker based on solar maps," in 2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONIC ENGINEERING (ICCEEE), 2013. 10.1109/iceets.2013.6533422M. A. J. Paul, "Design and performance analysis of automated two axis solar tracking system for steam generation," in Energy Efficient Technologies for Sustainability (ICEETS), 2013 International Conference on, 2013: IEEE, pp. 432-437. W. Chen, M. Xing, and K. Fang, "A PLC-based fuzzy PID controller for pressure control in Coke-oven," in Control Conference (CCC), 2012 31st Chinese, 25-27 July 2012 2012, pp. 4754-4758. H. Liu, S. Li, and T. Chai, "Intelligent coordinated control of power-plant main steam pressure and power output," Journal of Systems Engineering and Electronics, vol. 15, no. 3, pp. 350-358, // 2004. [Online]. Available: http://www.scopus.com/inward/record.url?eid= 2-s2.0- 10044262121&partnerID=40&md5=062b7e90 5f1011da9253b4f7f5bc6f51. Z. L. A, " Fuzzy sets,Information and Control," vol. 8:338-353, 1965. 10.1109/icma.2012.6285741N. Farouk and B. Tian, "Application of selftuning fuzzy PID controller on the AVR system," in Mechatronics and Automation (ICMA), 2012 International Conference on, 5-8 Aug. 2012 2012, pp. 2510-2514, doi: 10.1109/ICMA.2012.6285741. O. D. A, Handbook of PI and PID controller tuning rules. 2003. R. A. a. D. K. Baskarn, " Speed Control of Induction Motor Using Fuzzy PI and Optimized Using GA," International Journal of Recent Trends in Engineering, vol. 2, no. 5, 2009. D. P. P. Neenu Thomas, "Position Control of DC Motor Using Genetic Algorithm-based PID Controller," London, U.K Proceedings of the World Congress on Engineering, vol. 2, no. WCE 2009, 2009. Siemens, SIMATIC WinAC S2O Wizard February 2012 10.1109/icsmc.2010.5642275H.-C. Lu and T.-L. Shih, "Fuzzy system control design with application to solar panel active dual-axis Sun tracker system," in Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on, 2010: IEEE, pp. 1878-1883. 10.1109/energycon.2010.5771713A. Al Nabulsi, A. El Nosh, A. Ahli, M. Sulaiman, and R. Dhaouadi, "Efficiency optimization of a 150W PV system using dual axis tracking and MPPT," in Energy Conference and Exhibition (EnergyCon), 2010 IEEE International, 2010: IEEE, pp. 400-405. S. Xiaofang and G. Wencheng, "A Sun Spot Center Orientation Method Based on Ellipse Fitting in the Application of CPV Solar Tracker," in Intelligent System Design and Engineering Application (ISDEA), 2010 International Conference on, 2010, vol. 1: IEEE, pp. 175-178. 10.1109/iccrd.2010.59L. L. Oo and N. K. Hlaing, "Microcontrollerbased two-axis solar tracking system," in Computer Research and Development, 2010 Second International Conference on, 2010: IEEE, pp. 436-440. 10.1109/icset.2010.5684424S. Dasgupta, F. W. Suwandi, S. Sahoo, and S. Panda, "Dual axis sun tracking system with PV cell as the sensor, utilizing hybrid electrical characteristics of the cell to determine insolation," in 2010 IEEE International Conference on Sustainable Energy Technologies (ICSET), 2010: IEEE, pp. 1-5. 10.1109/mace.2010.5535534H. Jiao, J. Fu, Y. Li, and J. Lai, "Design of automatic two-axis sun-tracking system," in 2010 International Conference on Mechanic Automation and Control Engineering, 2010. 10.1109/nafips.2007.383852L. Yao-Lun, T. Chia-Chang, J. Wu-Shun, and L. Shuen-Jeng, "Design an Intelligent NeuralFuzzy Controller for Hybrid Motorcycle," in Fuzzy Information Processing Society, 2007. NAFIPS '07. Annual Meeting of the North American, 24-27 June 2007 2007, pp. 283-288, doi: 10.1109/nafips.2007.383852. 10.1016/j.asoc.2011.05.002S. M. S. S.N. Qasem, "Memetic Elitist Pareto Differential Evolution algorithm based Radial Basis Function Networks for classification problems," Applied Soft Computing, vol. 11, no. 1, pp. 5565–5581., 2011. 10.1016/j.asoc.2010.04.014S. M. S. S.N. Qasem, "Radial basis function network based on time variant multi-objective particle swarm optimization for medical disease diagnosis," Applied Soft Computing, vol. 11, no. 1, pp. 1427–1438, 2011. 10.1016/j.asoc.2011.12.018M. A. M. P. N. A. Al-geelani, R. Q. Shaddad "Characterization of acoustic signals due to surface discharges on H.V. glass insulators using wavelet radial basis function neural networks " Applied Soft Computing, vol. 7, no. 2, pp. 1327-1338, 2012. 10.1109/tsm.2003.818976H. Sang Jeen, G. S. May, and P. Dong-Cheol, "Neural network modeling of reactive ion etching using optical emission spectroscopy data," Semiconductor Manufacturing, IEEE Transactions on, vol. 16, no. 4, pp. 598-608, 2003, doi: 10.1109/tsm.2003.818976. 10.1007/978-3-642-12990-2_29M.-W. K. Shu-Kun Zhao, Yi-Seul Han, SeYoun Jeon, Yun-Keun Lee, and Seung-Soo Han, " Radial Basis Function Network for Endpoint Detection in Plasma Etch Process," Springer-Verlag, vol. 67, pp. 253–263, 2010. 10.1109/tpel.2013.2263154R. Khanna, Q. Zhang, W. E. Stanchina, G. F. Reed, and Z.-H. Mao, "Maximum power point tracking using model reference adaptive control," IEEE Transactions on power Electronics, vol. 29, no. 3, pp. 1490-1499, 2014. 10.1109/iscas.1999.777565P. T. Krein, "Ripple correlation control, with some applications," in Circuits and Systems, 1999. ISCAS'99. Proceedings of the 1999 IEEE International Symposium on, 1999, vol. 5: IEEE, pp. 283-286. 10.1109/pesc.2001.954157D. Logue and P. Krein, "Optimization of power electronic systems using ripple correlation control: A dynamic programming approach," in Power Electronics Specialists Conference, 2001. PESC. 2001 IEEE 32nd Annual, 2001, vol. 2: IEEE, pp. 459-464. 10.1109/tpel.2008.2001913J. W. Kimball and P. T. Krein, "Discrete-time ripple correlation control for maximum power point tracking," IEEE Transactions on Power Electronics, vol. 23, no. 5, pp. 2353-2362, 2008. 10.1049/iet-gtd.2008.0287D. Devaraj and B. Selvabala, "Real-coded genetic algorithm and fuzzy logic approach for real-time tuning of proportional-integral - derivative controller in automatic voltage regulator system," Generation, Transmission & Distribution, IET, vol. 3, no. 7, pp. 641-649, 2009, doi: 10.1049/iet-gtd.2008.0287. 10.4271/2007-01-0778R. A. Jackey, "A simple, effective lead-acid battery modeling process for electrical system component selection," SAE Technical Paper, 0148-7191, 2007. M. A. Younis, T. Khatib, M. Najeeb, and A. M. Ariffin, "An improved maximum power point tracking controller for PV systems using artificial neural network," Przegląd Elektrotechniczny, vol. 88, no. 3b, pp. 116-121, 2012. 10.1016/j.solener.2011.05.001B. Huang, W. Ding, and Y. Huang, "Long-term field test of solar PV power generation using one-axis 3-position sun tracker," Solar Energy, vol. 85, no. 9, pp. 1935-1944, 2011. 10.1016/j.apenergy.2009.02.006T. P. Chang, "Output energy of a photovoltaic module mounted on a single-axis tracking system," Applied energy, vol. 86, no. 10, pp. 2071-2078, 2009.