变风量空调的自适应模糊PID复合控制

摘要

The VAV air-conditioning system is complex system of time varying and nonlinear and time delaying, it is difficult to perform well by using traditional Fuzzy control and PID control methods. In order to solve the problems such as large overshoot, oscillation and low precision, this paper proposed the self-adaptive Fuzzy-PID compound control strategy with smith predictive estimation. The self-adaptive section was added into the general Fuzzy control, the problems such as low precision and weak adaptive capacity caused by the rough Fuzzy rules were solved.Smith predictive estimation was adopted in large hysteresis system to reduce the overshoot and oscillation of the control system. Meanwhile, the compound control method paralleling Fuzzy controller and PIO controller was used to improve the dynamic performance and steady precision of the system. Simulation results show that the proposed control strategy not only has fast response and high precision, and also has strong robustness. The conclusion can be used as a reference for the intellectual control design of VAV air-conditioning system.%研究空调系统控制的优化问题,针对变风量空调系统是一个时变、非线性、纯滞后的复杂系统,要求达到舒适节能的环境.传统模糊控制和PID控制方法难以获得较好的控制性能.为解决控制系统中超调量大、振荡和控制精度不高等问题,提出了史密斯预估的自适应模糊- PID复合控制策略.在传统的模糊控制中加入自适应环节,通过模糊自适应校正解决了因模糊规则粗糙而造成控制精度不高,适应能力弱的问题.针对大滞后系统,采用史密斯预估补偿,减小了控制系统的超调和振荡.同时,用模糊与PID相并联的复合控制方式,提高了系统的动态性能指标和稳态精度.仿真结果证明,改进的控制策略响应快、控制精度高、鲁棒性强,为变风量空调系统的智能控制设计提供了参考依据.