迭代学习控制算法在中药生产过程提取工段的应用  

Applications of iterative learning control algorithm in extracting procedure of Chinese traditional medicine production

作　　者：黄挚雄[1] 罗安[2] 黎群辉[1] 

机构地区：[1]中南大学信息科学与工程学院,长沙410075 [2]湖南大学电气与信息工程学院,长沙410082

出　　处：《仪器仪表学报》2007年第8期1434-1439,共6页Chinese Journal of Scientific Instrument

基　　金：国家计委中药生产自动化示范工程(计高技[2002]2141号)资助项目

摘　　要：针对中药生产过程中提取工段的工艺要求,本文提出了一种鲁棒性强、易于实施的迭代学习控制算法。由各类传感器和PID控制器形成内路闭环,构成抗扰动的稳定系统;外环迭代学习控制单元ILC双闭环结构进一步保证药液的质量。通过该算法自动控制提取工段中每个设备的动作并检测其状态,使控制输出按预定达到最优值。在建立提取罐数学模型的基础上,仿真实验验证了ILC的跟踪效果。现场数据表明,本文所提出的系统能在中药生产过程中取得理想的控制精度,提高了提取率,稳定了产品质量。In this thesis, the iterative learning control （ILC）, a strong robust control and easy realizable advanced control algorithm is proposed. Sensors and PID controller form an internal closed loop, and constitute a stable anti-in- terference system. The external ILC unit has a double closed loop structure, which guarantees the quality of the medicine further. Based on the ILC algorithm, the actions and states of all the equipment in the extracting procedure are automatically checked and controlled, which makes the output reach the expected optimal value. After establishing the mathematic model of the extracting tank, simulation experiment was on-site data show that the system can attain perfect control carried out to verify the ILC tracking effect. The precision, improve the extracting rate and stabilize the production quality in Chinese traditional medicine production.

关 键 词：迭代学习控制 先进控制系统 中药生产 提取 

分 类 号：TP273.22[自动化与计算机技术—检测技术与自动化装置]