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Solar Tracking Control of a Parabolic Trough Collector by Traditional PID, Fuzzy Sets and Particle Swarm Optimization Algorithm

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Solar energy has been highly researched in the last years due to the great possibilities of exploitation of solar radiation. One relevant factor to ensure that radiation is captured is a solar tracking system, which locates any time a caption structure normal to solar angles. Aligning, the results of the design, modeling, and simulation of a Solar Tracking Control of a Parabolic Trough Collector by Traditional PID, Fuzzy Sets, and Particle Swarm Optimization (PSO) algorithm are presented in this paper. Classical controller strategies as PID and Fuzzy have been implemented to control an angular movement of a single-axis tracker applied to a parabolic concentrator. In addition, an optimization algorithm as PSO has been developed to calculate an optimized parameter for proportional, integral, and derivative constants for a PID. Software as SolidWorks® and MATLAB have been used to model and simulate system operation. In order to simulate solar radiation, a model of light incidence in the function of photo-resistance has been generated. As a result, each controller meets the demand and the requirements of a reference continuously variable. The Fuzzy logic controller has achieved a higher error, the controller with the bigger overshoot has been a PID designed by an equalized polynomial, and the controller with the bigger establishment time has been a PID optimized by PSO algorithm.
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Solar Energy; Solar Tracking; Controller Trackers; Parabolic Collector

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A. Z. Hafez, A. M. Yousef, and N. M. Harag, Solar tracking systems: Technologies and trackers drive types - A review, Renew. Sustain. Energy Rev., vol. 91, pp. 754-782, Aug. 2018.

M. K. Sharma and J. Bhattacharya, A novel stationary concentrator to enhance solar intensity with absorber-only single axis tracking, Renew. Energy, vol. 154, pp. 976-985, Jul. 2020.

Z. Hua, C. Ma, J. Lian, X. Pang, and W. Yang, Optimal capacity allocation of multiple solar trackers and storage capacity for utility-scale photovoltaic plants considering output characteristics and complementary demand, Appl. Energy, vol. 238, pp. 721-733, Mar. 2019.

J. Sun, R. Wang, H. Hong, and Q. Liu, An optimized tracking strategy for small-scale double-axis parabolic trough collector, Appl. Therm. Eng., vol. 112, pp. 1408-1420, Feb. 2017.

J. Fang, Q. Liu, T. Liu, J. Lei, and H. Jin, Thermodynamic evaluation of a distributed energy system integrating a solar thermochemical process with a double-axis tracking parabolic trough collector, Appl. Therm. Eng., vol. 145, pp. 541-551, Dec. 2018.

S. Skouri, A. Ben Haj Ali, S. Bouadila, M. Ben Salah, and S. Ben Nasrallah, Design and construction of sun tracking systems for solar parabolic concentrator displacement, Renew. Sustain. Energy Rev., vol. 60, pp. 1419-1429, Jul. 2016.

N. AL-Rousan, N. A. Mat Isa, and M. K. Mat Desa, Efficient single and dual axis solar tracking system controllers based on adaptive neural fuzzy inference system, J. King Saud Univ. - Eng. Sci., vol. 32, no. 7, pp. 459-469, Nov. 2020.

G. C. Lazaroiu, M. Longo, M. Roscia, and M. Pagano, Comparative analysis of fixed and sun tracking low power PV systems considering energy consumption, Energy Convers. Manag., vol. 92, pp. 143-148, Mar. 2015.

R. Singh, S. Kumar, A. Gehlot, and R. Pachauri, An imperative role of sun trackers in photovoltaic technology: A review, Renewable and Sustainable Energy Reviews, vol. 82. Elsevier Ltd, pp. 3263-3278, 01-Feb-2018.

Y. Zhu, J. Liu, and X. Yang, Design and performance analysis of a solar tracking system with a novel single-axis tracking structure to maximize energy collection, Appl. Energy, vol. 264, p. 114647, Apr. 2020.

F. Sallaberry, R. Pujol-Nadal, M. Larcher, and M. H. Rittmann-Frank, Direct tracking error characterization on a single-axis solar tracker, Energy Convers. Manag., vol. 105, pp. 1281-1290, Nov. 2015.

W. Nsengiyumva, S. G. Chen, L. Hu, and X. Chen, "Recent advancements and challenges in Solar Tracking Systems (STS): A review," Renew. Sustain. Energy Rev., vol. 81, pp. 250-279, Jan. 2018.

C. O. Okoye, A. Bahrami, and U. Atikol, Evaluating the solar resource potential on different tracking surfaces in Nigeria, Renew. Sustain. Energy Rev., vol. 81, pp. 1569-1581, Jan. 2018.

A. Allouhi, M. Benzakour Amine, T. Kousksou, A. Jamil, and K. Lahrech, Yearly performance of low-enthalpy parabolic trough collectors in MENA region according to different sun-tracking strategies, Appl. Therm. Eng., vol. 128, pp. 1404-1419, Jan. 2018.

T. Maatallah, A. Houcine, S. El Alimi, and S. Ben Nasrallah, A novel solar concentrating system based on a fixed cylindrical reflector and tracking receiver, Renew. Energy, vol. 117, pp. 85-107, Mar. 2018.

J. J. Ontiveros, C. D. Avalos, F. Loza, N. D. Galan, and G. J. Rubio, Evaluation and Design of Power Controller of Two-Axis Solar Tracking by PID and FL for a Photovoltaic Module, Int. J. Photoenergy, vol. 2020, 2020.

E. Kiyak and G. Gol, A comparison of fuzzy logic and PID controller for a single-axis solar tracking system, Renewables Wind. Water, Sol., vol. 3, no. 1, p. 7, Dec. 2016.

J. Canada-Bago, J.-A. Fernandez-Prieto, M.-A. Gadeo-Martos, and P. Perez-Higueras, Knowledge-Based Sensors for Controlling A High-Concentration Photovoltaic Tracker, Sensors, vol. 20, no. 5, p. 1315, Feb. 2020.

A. Rawat, S. K. Jha, and B. Kumar, Position controlling of Sun Tracking System using optimization technique, in Energy Reports, 2020, vol. 6, pp. 304-309.

M. M. Sabir and T. Ali, Optimal PID controller design through swarm intelligence algorithms for sun tracking system, Appl. Math. Comput., vol. 274, pp. 690-699, Feb. 2016.

Belkasmi, M., Bouziane, K., Akherraz, M., El Ouahabi, M., Sadiki, T., Faqir, M., Sun Tracking Based on Hybrid Control with High Accuracy and Low Consumption, (2017) International Review of Automatic Control (IREACO), 10 (6), pp. 485-498.

Belkasmi, M., Bouziane, K., Akherraz, M., Anaty, M., El ouahabi, M., Sadiki, T., Faqir, M., Outdoor Performance Tests of a HCPV Prototype, (2018) International Journal on Energy Conversion (IRECON), 6 (4), pp. 136-143.


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