Iterative Learning Control Approach with an Application to Constrained Batch Processes
This work designed an anticipatory ILC schemes for a class of batch processes, where only the final system output is measurable and the control input is constant in each operations. This approach has the anticipatory characteristics and the simplicity for implementation. The control input saturation is taken into account and tracking error convergence results are established with rigorous proofs. Simulation results are provided to show the effectiveness of this scheme.
Iterative learning control Batch processes Input saturation Convergence analysis
CHI Ronghu ZHANG Dexia LIU Ximei HOU Zhongsheng
School of Automation & Electrical Engineering, Qingdao University of Science & Technology Qingdao 26 Advanced Control Systems Lab, School of Electronics & Information Engineering, Beijing Jiaotong Univ
国内会议
厦门
英文
1-3
2012-08-01(万方平台首次上网日期,不代表论文的发表时间)