Solar heat collection photoelectric tracking servo drive system based on cloud computing

Abstract

In order to solve the problem of high cost and low utilization of solar power generation, the author proposed a solar heat collection photoelectric tracking servo drive system based on cloud computing. By establishing the MATLAB/SIMULINK simulation mathematical model of PID and adaptive fuzzy PID control in the core controller PLC, the authors compare and analyze the response characteristics of the tracking control system under different control strategies under the action of unit step signal and disturbance. The experimental results show that the overshoot of the adaptive fuzzy PID control algorithm is very small, almost zero, the response speed is the fastest, the transition time is the shortest, the system reaches stability at about 0.02 second. In conclusion the tracking control system of solar concentrator under adaptive fuzzy PID control not only has good tracking control accuracy, but also has the advantages of strong anti-interference ability and good stability, which greatly improves the comprehensive performance of the tracking control system of solar concentrator.