模糊自适应PI控制在空调系统中的研究

CIESC Journal

模糊自适应PI控制在空调系统中的研究

白建波，张小松，刘庆君

河海大学常州校区机电工程学院，江苏常州 213022；东南大学能源与环境学院，江苏南京 210096

出版日期:2010-12-30 发布日期:2010-12-30

Research on fuzzy PI adaptive controller in air-conditioning systems

BAI Jianbo, ZHANG Xiaosong, LIU Qingjun

Online:2010-12-30 Published:2010-12-30

摘要/Abstract

摘要：

以空气焓差法试验台空调系统的温度控制系统为具体仿真对象建立了数学模型，该空调系统可以看作是一阶惯性加纯滞后的环节，而且对象的过程参数和时延时间是时变的，传统的PID控制无法获得理想的控制效果。提出了一种无需辨识环节的具有智能的模糊自适应PI的控制算法并将其应用在该空调系统中，该算法对模糊控制和PI控制进行有机结合，根据实际控制经验，通过模糊控制规则对控制回路中PI控制器的参数进行实时整定，并将该控制算法和经过良好整定的PI控制器在空调系统中的控制性能进行比较。仿真结果表明，模糊自适应PI控制提高了系统的鲁棒性、减小了超调量、提高了抗干扰能力、缩短了调整时间。

Abstract:

The air-conditioning mathematical model of temperature control in the testing room of an air enthalpy-difference testing-platform is presented, which can be described by a first-order-plus-dead-time model.The parameters of air-conditioning processes vary due to the changes in the operation conditions, which can lead to degradation of performance and instability of the control loop while using conventional PI controllers .A fuzzy PI adaptive controller with intelligence is proposed and applied to the air-conditioning system.In the control scheme, fuzzy control and PI control are combined together organically.The increment of the PI controller parameters can be adjusted online by fuzzy rules according to practical control experiences.To evaluate the control performance of the controller in the air-conditioning system, it is compared with a conventional well-tuned PI controller.Simulations results indicate that the proposed control method has better performance than the latter.

白建波，张小松，刘庆君. 模糊自适应PI控制在空调系统中的研究 [J]. CIESC Journal.

BAI Jianbo, ZHANG Xiaosong, LIU Qingjun. Research on fuzzy PI adaptive controller in air-conditioning systems[J]. .