论文部分内容阅读
空调温湿度自控系统是一个多输入多输出、典型强耦合的非线性时变系统,具有鲜明的纯滞后、大惯性特点。针对此特点,结合在制药行业空调控制的具体应用、预估模型和传统PID,提出了一种新型空调控制模式-分时二次优化控制方法。此方法运用前面机理建模方法得出的系统模型,使用现场实验数据确定系统模型参数,通过二次优化得到不同的控制参数,根据现场不同环境及控制要求切换成不同的二次优化控制。实验结果证明此方法具有很好的控制性能且编程简单,灵活性高,适应力强。
Air conditioning temperature and humidity control system is a multi-input multi-output, typical strong coupling nonlinear time-varying system, with distinct characteristics of pure lag, large inertia. In view of this characteristic, combined with the specific application of air conditioning control in the pharmaceutical industry, the estimated model and the traditional PID, proposed a new air conditioning control mode - time-sharing quadratic optimization control method. In this method, the system model obtained by the previous mechanism modeling method is used. Parameters of the system model are determined by field experiment data, and different control parameters are obtained through secondary optimization. Different secondary optimization control is switched to different environments and control requirements. Experimental results show that this method has good control performance and programming is simple, flexible and adaptable.