计算机应用 ›› 2011, Vol. 31 ›› Issue (02): 470-472.

• 人工智能 • 上一篇    下一篇

变风量空调系统末端变论域模糊控制

王成立1,卢建刚2   

  1. 1. 浙江大学玉泉校区 工业过程控制国家重点实验室
    2. 浙江大学 工业过程控制国家重点实验室
  • 收稿日期:2010-06-22 修回日期:2010-08-02 发布日期:2011-02-01 出版日期:2011-02-01
  • 通讯作者: 卢建刚
  • 基金资助:
    国家自然科学基金重点资助项目

Variable discourse fuzzy control of VAV air-conditioning terminal unit

  • Received:2010-06-22 Revised:2010-08-02 Online:2011-02-01 Published:2011-02-01
  • Supported by:
    the National Natural Science Foundation of China

摘要: 针对变风量空调系统非线性、时变性和难以建立精确模型的特点,提出一种具有自适应能力的变论域模糊控制,以提高控制系统的控制速度和精度,使系统具有更好的动态性能和准确性。在推导VAV末端装置模型的基础上,进行了仿真实验。仿真结果表明,与传统PID控制和常规模糊控制比较,变论域模糊控制提高了系统的动静态特性和系统的稳态精度,从而使模糊控制器的性能得到了较大的改善,具有良好的控制效果。

关键词: 变风量空调系统, 变论域, 模糊控制

Abstract: Concerning the nonlinearity, timevariant and imprecise model in the Variable Air Volume(VAV) air-conditioning systems, an adaptive variable discourse fuzzy control was proposed to improve the dynamic performance and accuracy of the control system. Based on derivation of VAV air-conditioning terminal model, simulation was conducted. The simulation results show that compared with the traditional PID control and conventional fuzzy control, variable discourse fuzzy control improves the system dynamic and static characteristics and steady state accuracy. Therefore, the fuzzy controller's performance has been greatly improved with good control effect.

Key words: Variable Air Volume (VAV) air-conditioning system, variable discourse, fuzzy control