基于人工智能的温室环境控制算法

温室环境控制系统的最大特点是控制对象的精确数学模型很难建立。文章将常规PID控制算法与现代控制理论相结合，对常规PID算法进行改进，得到新型MPT控制算法，并加入模糊控制算法规则，在误差大时，运用模糊算法进行调节，以彻底消除PID饱和积分现象，当误差较小时，采用改进后的PID算法控制输出。同时加入了自适应调节规则和自整定专家系统，建立了基于人工智能的温室环境控制算法。将此算法应用于温室环境控制。系统具有无超调和控制精度高等特点。

Control Algorithm for Greenhouse Climate Based on Artificial Intelligence

The important characteristic of control system for greenhouse climate is that it is difficult to create the precise mathematical model for control system. This article integrates the traditional PID algorithm with the modern control theory. The traditional PID algorithm is improved in this article to get a new MPT control algorithm. At the same time the fuzzy control algorithm is also used, when the error is large, use the fuzzy algorithm to control to eliminate the PID saturation integral phenomenon, and when the error is small, use the improved PID algorithm to control. And also use the self adaptive regulation and self-tuning expert system so as to create the intelligent control algorithm for greenhouse. The algorithm is applied in the greenhouse climate control and the system has no overshot and high control accuracy ete features.