Study on the Control Algorithm of Intelligent Greenhouse Crop Precision Planting

Abstract

In order to improve the quality of precision cultivation, this paper establishes a control model of precision planting in intelligent greenhouse, and proposes a fuzzy PID control algorithm based on improved artificial bee colony algorithm (IABC-FPID). The optimal parameters combination can be obtained by optimal solution searching in the local parameters space. To reduce the possibility of bee system being dropped into local optimum, chaos sequence is introduced to get a target parameter more evenly distributed, thus, it can obtain the optimal control parameters. The simulation results demonstrate that this method has the features of a short setting time, strong stability and high precision, compared to traditional fuzzy PID control.