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作 者:Chun LI Jinliang DING Frank LLEWIS Tianyou CHAI
机构地区:[1]State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenyang 110819,China [2]UTA Research Institute,The University of Texas at Arlington,Arlington 76118,USA
出 处:《Science China(Information Sciences)》2024年第1期150-163,共14页中国科学(信息科学)(英文版)
基 金:supported by National Key R&D Plan Project(Grant No.2022YFB3304700);National Natural Science Foundation of China(Grant Nos.61988101,62161160338);111 Project 2.0(Grant No.B08015);Liaoning Province Central Leading Local Science and Technology Development Special Project(Grant No.2022JH6/100100055)。
摘 要:In this paper,for the output tracking problem of nonlinear discrete-time systems,a performance index is newly defined using the adaptive dynamic programming(ADP)technique to completely eliminate tracking errors in theory.In contrast to traditional definitions of performance indices in other ADP-based methods,the proposed performance index is not only designed from the perspective of output tracking errors but also introduced errors of system states and control inputs at adjacent stages,which is suitable for practical situations in many industrial applications,such as the alumina production,the flotation process,and the mineral grinding process.We proved that the obtained controller can make the system output fully track the given reference trajectory by applying the iterative criteria of the ADP technique.In addition,the proposed algorithm was implemented using a data-driven technique and neural networks to avoid analyzing and deducing the complicated dynamics of actual industrial processes.Finally,using historical data for a forced-circulation evaporation system in the alumina production process,the effect of the proposed approach was verified through a numerical simulation and compared with that of the proportional-integral controller.
关 键 词:adaptive dynamic programming iterative criteria performance index tracking errors tracking problem
分 类 号:TP13[自动化与计算机技术—控制理论与控制工程]
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