摘要
针对分批重复过程的模型和延迟具有不确定性,提出具有2自由PI-PD补偿结构的迭代学习控制(ILC)算法,该算法通过对以前操作过程的迭代学习产生当前的辅助控制输入,从而改进控制质量。过程的动态特性用传递函数加纯滞后描述,用频域法分析了算法的稳定性,并给出了鲁棒稳定界,仿真验证了算法的有效性。
In accordance with the uncertainty of the model and time delay of batch repeat process, the iterative learning control （ ILC ） algorithm with compensation structure of two freedoms PI - PD is proposed. The current auxiliary control input is generated through iterative learning of previous operation procedures, thus the quality of control is improved. The dynamic characteristics of process are described with transfer function plus dead time. The stability of the algorithm is analyzed by method in frequency domain, and the stable boundary, of robustness is given. The effectiveness of this algorithm is verified by simulation,
出处
《自动化仪表》
CAS
2006年第1期1-5,共5页
Process Automation Instrumentation
基金
辽宁省教育厅科学研究计划资助项目(编号:2004D031)
