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作 者:方潜生 张金根 杨雷[3] 谢陈磊 FANG Qiansheng;ZHANG Jingen;YANG Lei;XIE Chenlei(School of Electronic and Information Engineering,Anhui Jianzhu University,Hefei 230022,China;Anhui Province Key Laboratory of Intelligent Building and Building Energy Saving,Hefei 230022,China;Institute of Plasma Physics,Chinese Academy of Sciences,Hefei 230031,China)
机构地区:[1]安徽建筑大学电子与信息工程学院,安徽合肥230022 [2]智能建筑与建筑节能安徽省重点实验室,安徽合肥230022 [3]中国科学院等离子体物理研究所,安徽合肥230031
出 处:《安徽建筑大学学报》2023年第6期49-56,77,共9页Journal of Anhui Jianzhu University
基 金:安徽省高校优秀科研创新团队项目(2022AH010018);基于BIM技术的智能集成系统软件平台开发项目(HYB20210116)。
摘 要:烘烤系统作为EAST(Experimental Advanced Superconducting Tokamak)重要的支撑系统之一,存在大时滞和模型不精确等问题,难以实现稳定控制烘烤温度。因此本文提出将MPC(Model Predictive Control)方法应用于烘烤系统,首先通过理论推导和曲线拟合方法构建了烘烤设备和烘烤环节模型。其次基于烘烤系统模型设计预测控制器和控制方案流程,最后在烘烤平台上验证控制方法的有效性。在稳定烘烤期间,真空室烘烤温度波动小于6℃,并且加热器输出功率平稳,功率波动小于1 kW。实验结果表明MPC方法能够稳定控制真空室烘烤温度,并满足真空室烘烤要求。The baking system is one of the vital supporting systems in Experimental Advanced Superconducting Tokamak(EAST),and faces major challenges in achieving stable temperature control during baking considering significant time delays and inaccurate modeling.This paper applied Model Predictive Control(MPC)to the baking system to tackle this challenge.Firstly,theoretical deduction and curve fitting methods were utilized to construct the baking equipment and processes models.Based on the baking system model,a MPC controller along with a control plan were designed.A baking platform was used to verify the effectiveness of the proposed control method.The vacuum vessel baking temperature exhibited a temperature fluctuation of less than 6℃during stable baking periods,and the output power of the heater was stable with a fluctuation of less than 1 kW.The experimental results showed that the MPC method stabilized the temperature and met all the requirements of the vacuum vessel baking.
分 类 号:TP29[自动化与计算机技术—检测技术与自动化装置]
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