一类复杂工业过程的数据驱动与PID协调控制  

Data Driven and PID Coordinated Control for a Class of Complex Industrial Process

作　　者：颜克甲 于海生[1,2] 孟祥祥 YAN Kejia;YU Haisheng;MENG Xiangxiang(College of Automation,Qingdao University,Qingdao 266071,China;Shandong Province Key Laboratory of Industrial Control Technology,Qingdao University,Qingdao 266071,China)

机构地区：[1]青岛大学自动化学院,山东青岛266071 [2]青岛大学山东省工业控制技术重点实验室,山东青岛266071

出　　处：《控制工程》2024年第2期238-243,共6页Control Engineering of China

基　　金：国家自然科学基金资助项目(61573203);山东省自然科学基金资助项目(ZR2021MF005)。

摘　　要：针对一类具有强非线性且难以建立精确数学模型的复杂工业过程,提出了一种基于PID与数据驱动的协调控制策略。在系统初始阶段,采用PID控制方法,不需要建立系统的数学模型,就能获得大量系统输入输出(I/O)数据。在系统稳态阶段,提出了多输入多输出(multiple input multiple output,MIMO)无模型自适应离散终端滑模控制(model-free adaptive discrete terminal sliding mode control,MFA-DTSMC)方法,该方法基于系统的紧格式动态线性化数据模型,且伪Jacobian矩阵(pseudo-Jacobian matrix,PJM)估计算法仅取决于被控对象的I/O测量数据。其次,设计了一种协调控制策略,实现了PID与数据驱动控制器之间的协调控制。以双容水箱液位系统为例进行仿真实验,仿真结果验证了所提控制策略的有效性。PID and data-driven coordinated control strategy is proposed for a class of complex industrial process which has strong non-linearity and is difficult to establish accurate mathematical model.In the dynamic stage of the system,the PID control method does not need to establish the mathematical model of the system,and obtains a large number of system input and output(I/O)measurement data.In the data-driven aspect,multiple input multiple output(MIMO)model-free adaptive discrete terminal sliding mode control(MFA-DTSMC)is proposed.The method is based on the compact format dynamic linearization data model of the system.The pseudo-Jacobian matrix estimation algorithm only depends on the I/O measurement data of the controlled object.Secondly,a coordination control strategy is designed to realize the coordination control between PID and data driven controller.The effectiveness of the proposed control strategy is verified by the simulation results of a two-tank liquid level system.

关 键 词：工业过程 数据驱动 协调控制 PID 双容水箱液位系统 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]