基于优化模糊 PID 控制器的精准施肥算法研究与应用.

In the process of irrigation and fertilization in agricultural production, the application accuracy of water and fertilizer is not high, resulting in resource waste and soil plate formation. In this study, a fuzzy PID algorithm based on PSO optimization was designed to control the irrigation and fertilization process of the fertilizer applicator. Firstly, the mathematical model of fertilizer applicator was established according to the relevant modules and parameters of fertilization. Based on MATLAB/ Simulink platform, PID controller, fuzzy PID controller and the controller proposed in this paper were built respectively to control the mathematical model of the established system. The simulation results showed that the response time of the proposed control algorithm was reduced to 30 s, which was reduced by 63. 4% and 55. 9% respectively compared with PID and fuzzy PID. In terms of overshoot, there was basically no overshoot in the proposed control algorithm except for the early oscillation. In order to verify the reliability of the algorithm in practical application, this paper designed precision control tests under different five groups of pressures, and the test results showed that the fuzzy PID control based on PSO optimization had good control effect under various pressures. The control accuracy was concentrated in about 2%, while the control accuracy of PID control was about 20%, and the control accuracy of fuzzy PID control was about 10%. It could be seen that the control algorithm proposed in this study could improve the irrigation accuracy in the practical application process. [ABSTRACT FROM AUTHOR]