| 概要 |
Photovoltaic (PV) systems need solar trackers to function as efficiently as possible. These trackers may be driven by a variety of actuators; hydraulic, electric, or pneumatic. Initial expenditures, l...eakage potential, high power consumption, high maintenance, complex design, and slower movement are some drawbacks of hydraulic actuators. Also, electric actuators are distinguished by elevated operational expenses, high maintenance prerequisites, and complexity of design and control. Pneumatic actuators have been proposed as an alternative to solve most of these problems due to their advantages over other actuators, including lower initial costs, longer operating life, less maintenance, relative simplicity of operation, and less prone to failure. Since the response of pneumatic actuators is rather poor, fuzzy logic techniques must be used to efficiently control the actuators. This paper aims to build a Matlab/Simulink model of a dual-axis solar tracker driven by pneumatic actuators, controlled by fuzzy logic. The azimuth and tilt angles of the PV panel are controlled by two double-acting cylinders to rectify the position of the tracker at the maximum irradiance position. Air pressure source, valve's input signal frequency, and solenoid valves' orifice diameter are the main factors influencing the cylinders' rod position response. The simulation shows that after changing the orifice diameter from 10 to 2.5 mm and the input pressure source from 0.7 to 0.1 MPa, the smoothest response of the rod position occurred at a pressure of 0.5 MPa and a diameter of 2.5 mm. Also, it was found that at a signal frequency of 1 Hz, the piston rod speed will be 0.5 steps/sec, while using 10 Hz gives 10 steps/sec, resulting in a more accurate rod position. There is a 12.35% improvement with fuzzy logic in rod position accuracy and better handling of sudden changes in input signals compared to no fuzzy logic use.続きを見る
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Mendeley出力
p1848-1855