Volume 22, Issue 2 (JIAEEE Vol.22 No.2 2025)
Journal of Iranian Association of Electrical and Electronics Engineers 2025, 22(2): 0-0 |
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sadeghi M, havangi R. Online control of the solar tracker system using the controller Adaptive PID on Kalman filter. Journal of Iranian Association of Electrical and Electronics Engineers 2025; 22 (2)
URL: http://jiaeee.com/article-1-1526-en.html
URL: http://jiaeee.com/article-1-1526-en.html
University of Birjand
Abstract: (237 Views)
Photovoltaic systems are one of the solar power generation systems. To get the maximum power and increase the efficiency of photovoltaic cells, tracking the position of the sun with great accuracy is especially important. Solar tracking systems are exposed to natural disturbances such as clouds, wind, measurement error and other environmental factors. These disturbances during tracking sometimes lead to instability of solar tracking systems. In this paper, a robust two-axis rotary-linear solar tracking system is designed and built. Adaptive PID controller is used to determine the optimal performance of the system, determine the controller input, adjust the controller parameters and the stability of the whole system, and the adaptive PID controller parameters are designed and adjusted using the reference model by Kalman filter. By adjusting the parameters of the adaptive PID controller based on the Kalman filter, the disturbances entered into the system during tracking in a short time have been well suppressed and the system has been stabilized online. Adaptive PID controller based on Kalman filter, has increased the efficiency of production power in steady-state, single-axis and two-axis, and also reduced the energy consumption of motors. In order to evaluate the control of the solar tracking system in eliminating natural disturbances, accurate tracking and receiving maximum power from the environment, a comparison was made between the performance of adaptive PID controller based on Kalman filter and PID controller based on offline and online optimization algorithms.
Keywords: Photovoltaic system, Solar Tracker, Troubleshooting, Adaptive PID controller, Reference model, Kalman filter
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