摘要
自动控制是实现建筑热工系统节能运行的关键措施。建筑热工过程是典型的多变量、大滞后、分布参数、变量关联耦合的非线性时变过程,很难建立其精确数学模型,经典控制和现代控制方法在应用中常存在控制效果不理想、系统能耗较大等问题。基于专家知识和操作者经验的模糊-神经网络控制就成了建筑节能领域极具发展前途的理论和方法。本文系统地综述了各类自适应模糊控制器的研究与应用进展,为建筑节能领域从事该方面的研究提供了理论和技术参考。
Now automatic control has also been a key technology for high efficiency operation of the building energy system. It is difficult to build accurate model for dynamic process in the system due to its characteristics such as multi-parameter, large time-delay, parameter distribution and variables coupling. Therefore, classic control and modern control cannot achieve an ideal control performance on building energy system control, which cause the system large scale energy consumption. To solve this problem, fuzzy neutral network control, based on expert knowledge and operator experience, has been attracted more and more attention. This paper presents a systematically review on investigation and application progress of adaptive fuzzy controllers. These novel adaptive fuzzy control methods also promote the intelligent control technology development and provide better strategies for building energy system optimal control as well.
出处
《建筑热能通风空调》
2010年第5期1-10,共10页
Building Energy & Environment
基金
国家自然科学基金项目(No.50578049
51078053)
"十一五"国家科技支撑计划项目(2006BAJ01A09
2008BAJ12B05)
关键词
建筑热工系统
建筑节能
自适应模糊控制
building energy system
building energy efficiency
self-adaptive fuzzy control