摘要
温室控制对象存在的大滞后、大惯性等属性,使传统控制方法的控制效果不甚理想。针对这个问题,在温室控制系统中,引入模糊PID控制方法。该方法能使温室温度控制系统根据季节的交替,时令的变化,实现优化控制,为农作物的生长发育提供合适的温度环境。在M atlab环境下,利用模糊PID控制方法和常规PID控制方法进行计算机仿真控制实验,分析实验结果表明:模糊PID控制方法可以提高温室控制系统的自适应性和鲁棒性,抑制大惯性产生的温度失调等副作用,获得满意的控制效果,同时也节约能源、提高了经济效益。
It is difficult for greenhouse to control temperature since it is usually of such characteristics as big inertia and big lag. Therefore, Fuzzy PID control was introduced into the system. Fuzzy PID control algorithm was used to design temperature control system according to the season of a year and the section of a day. By simulation and comparison with Fuzzy PID and general control, this paper concludes that the use of the method in the system can greatly improve the robustness and self - adaptability of the system. It can save energy and improve economic benefit.
出处
《计算机应用》
CSCD
北大核心
2009年第7期1996-1999,共4页
journal of Computer Applications
基金
陕西科技大学研究生创新基金资助项目
关键词
温室
计算机仿真
温度控制
鲁棒性
greenhouse
computer simulation
temperature control
robustness
