PTM不确定性的间歇过程优化补偿控制策略  

Optimization Compensation Control Strategy for Batch Process with PTM Uncertainty

作　　者：褚菲 汪一峰[1] 王嘉琛 贾润达 陆宁云[4] CHU Fei;WANG Yi-feng;WANG Jia-chen;JIA Run-da;LU Ning-yun(School of Information and Control Engineering,China University of Mining and Technology,Xuzhou 221116,China;Engineering Research Center of Ministry of Education for Intelligent Control of Underground Space,China University of Mining and Technology,Xuzhou 221116,China;College of Information Science and Engineering,Northeastern University,Shenyang 110819,China;College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)

机构地区：[1]中国矿业大学信息与控制工程学院,江苏徐州221116 [2]中国矿业大学地下空间智能控制教育部工程研究中心,江苏徐州221116 [3]东北大学信息科学与工程学院,辽宁沈阳110819 [4]南京航空航天大学自动化学院,江苏南京210016

出　　处：《控制工程》2023年第4期583-589,596,共8页Control Engineering of China

基　　金：国家自然科学基金资助项目(61973304,61503384,61873049,62073060);江苏省科技计划资助项目(BK20191339);江苏省六大人才高峰项目(DZXX-045);飞行器自主控制技术开放项目(NJ2020004)。

摘　　要：过程迁移模型是实现数据不足情况下间歇过程高效建模的有效方法。然而,相似过程之间的差异性和模型不确定性因素,加剧了模型与实际过程之间的不匹配程度。针对过程迁移模型中不确定性问题,提出一种基于修正自适应优化和自校正补偿的策略。首先,利用基于修正自适应策略的批次间优化逐步消除相似过程之间的差异所产生的负面影响。然后,采用自校正补偿策略进一步补偿通过批次间优化得到的次优设定值。此外,模型更新时添加了数据剔除,提升了后续的优化效果。最后,利用草酸钴合成过程的仿真实验,验证了所提方法的有效性。Process transfer model is an effective method to realize efficient modeling of batch process under the condition of insufficient data.However,the differences between similar processes and the uncertainty factors of the model lead to the further aggravation of the mismatch between the model and the actual process.Aiming at the uncertainty problem in process transfer model,a strategy based on modifier-adaptation optimization and self-tuning compensation is proposed.Firstly,the batch-to-batch optimization based on modifier-adaptation strategy is used to gradually eliminate the negative impact of the differences between similar processes.Then,the self-tuning compensation strategy is used to further compensate the suboptimal set point obtained by batch-to-batch optimization.In addition,the data elimination is adopted in model update to improve the subsequent optimization effect.Finally,the effectiveness of the proposed method is verified by the simulation of cobalt oxalate synthesis process.

关 键 词：间歇过程 过程迁移模型 修正自适应 自校正补偿 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]