A Design Framework for Iterative Learning Control (ILC) Based on 2-Dimensional Model Predictive Control (2D-MPC)
According to the philosophy of model predictive control (MPC), 2-dimensional (2D) MPC algorithm has been developed for the 2D system. By transforming the ILC design problem into 2D-MPC design problem, a design framework for ILC scheme, referred as 2D-MPILC, has been proposed for the repetitive processes with 2D dynamics. The major advantages of the proposed design framework is the 2D dynamics of the process and the dynamics of the cycle-varying set-point profile can be take into account in the design resulting in a time-wise feedback control and a cycle-wise high-order ILC law combined and optimized in 2D sense. The simulation results demonstrate the effectiveness and robustness of the proposed ILC scheme.
2-Dimensional (2D) system Iterative Learning Control (ILC) Model Predictive Control (MPC)
Jia Shi Furong Gao Qingying Jiang Zikai Cao
Department of Chemical & Biochemical EngineeringSchool of Chemistry & Chemical Engineering, Xiamen U Department of Chemical and Biomolecular Engineering Hong Kong University of Science & Technology, Cl
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
1746-1751
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）