Online Control of the Solar Tracker System Using the Controller Adaptive PID on Kalman Filter

Abstract

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 and uncertainty 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.