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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