基于Dahlin算法变风量空调自校正PID控制  

Application of self-tuning PID control based on the dahlin algorithm in VAV

作　　者：孟祥懿[1] 付东翔[1] 

机构地区：[1]上海理工大学光电信息与计算机工程学院,上海200093

出　　处：《信息技术》2014年第3期104-107,共4页Information Technology

摘　　要：变风量空调具有时变、延时、非线性等特点,在此类系统中传统的PID控制算法难以取得最佳的控制效果。基于广义预测自校正的控制算法,控制精度高,具有较强的跟踪性能,但是以增大的计算量和频繁的调节系统参数为代价的。文中提出一种基于改进的Dahlin参数整定方法的自校正PID控制器,该算法在理论建模的基础上,采用在线的带遗忘因子最小二乘法,实现传递函数的参数估计,建立了系统PID参数之间的关系式,实现变风量空调系统的末端控制。算法仿真运算及实验表明,与传统PID及广义预测自校正控制方法相比,文中方法控制精度高于传统PID,同时计算复杂度低于通常广义预测自校正控制。Time-changing, large delay and non-liner are the main characteristics of variable air volume air conditioning. So it is difficult for PID controller to achieve high control performances, the generalized predictive control（GPC） algorithm slightly increases the computation and careful setting of various tuning parameters, processes that are more difficult can be handled by GPC. In this paper, a self-tuning PID controller based on Dahlin criterion is presented. For the on-line identification module of the two adaptive control algorithms, the recursive least-squares estimation technique is implemented. It is demonstrated that the two model-based adaptive controllers are better than the PID auto-tuner. The simulation results demonstrate the effectiveness and performance of the two adaptive controllers on the variable air volume air conditioning system. Therefore the adaptive PID controller based on modified Dahlin algorithm compares favorably with a much more complexed GPC.

关 键 词：变风量空调 DAHLIN算法 自校正PID 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]