| 多阶段间歇过程鲁棒模糊预测异步切换控制EI北大核心CSCD |
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| 引用本文： | 彭博,施惠元,苏成利,李平.多阶段间歇过程鲁棒模糊预测异步切换控制EI北大核心CSCD[J].控制理论与应用,2022,39(1):91-100. |
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| 作者姓名： | 彭博 施惠元 苏成利 李平 |
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| 作者单位： | 辽宁石油化工大学信息与控制工程学院,辽宁抚顺113001;辽宁石油化工大学信息与控制工程学院,辽宁抚顺113001;西北工业大学自动化学院,陕西西安710072;辽宁石油化工大学信息与控制工程学院,辽宁抚顺113001;西北工业大学自动化学院,陕西西安710072;辽宁科技大学电子与信息工程学院,辽宁鞍山114051 |
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| 基金项目： | 国家自然科学基金项目(61803191, 61703191), 辽宁省自然科学基金项目(2019–KF–03–05), 高等学校创新人才支持计划项目(LR2019037), 辽宁 石油化工大学引进人才科研启动基金(2021XJJL–009)资助. |
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| 摘 要： | 本文针对非线性多阶段间歇过程在切换瞬间存在异步切换的问题,提出了一种鲁棒模糊预测异步切换控制方法.该方法将非线性多阶段间歇过程表示为同步子系统和异步子系统的等效闭环扩展Takagi-Sugeno模糊模型,在此基础上给出了确保每个批次指数稳定和每个阶段渐近稳定的,基于线性矩阵不等式的稳定性条件以及不同情况运行时间的计算方法.根据运行时间采用超前切换思想,避免异步切换情况的出现,保证系统的稳定运行.仿真案例表明所设计的控制器是有效的和可行的.
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| 关 键 词： | 多阶段间歇过程 鲁棒模糊预测控制 异步切换控制 线性矩阵不等式 平均驻留时间 |
| 收稿时间： | 2020/12/9 0:00:00 |
| 修稿时间： | 2021/10/29 0:00:00 |
Robust fuzzy predictive asynchronous switching control for multi-phase batch processes |
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| PENG Bo,SHI Hui-yuan,SU Cheng-li and LI Ping.Robust fuzzy predictive asynchronous switching control for multi-phase batch processes[J].Control Theory & Applications,2022,39(1):91-100. |
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| Authors: | PENG Bo SHI Hui-yuan SU Cheng-li and LI Ping |
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| Affiliation: | School of Information and Control Engineering, Liaoning Shihua University,School of Information and Control Engineering, Liaoning Shihua University,School of Information and Control Engineering, Liaoning Shihua University,School of Electronic and Information Engineering, University of Science and Technology |
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| Abstract: | Aiming at the problem of asynchronous switching at the moment of switching in a nonlinear multi-phase batch
process, a robust fuzzy predictive asynchronous switching control method is proposed. This method expresses the nonlinear
multi-phase batch process as an equivalent closed-loop extended Takagi-Sugeno fuzzy model including the synchronization
subsystem and the asynchronous subsystem. On this basis, the stability conditions based on linear matrix inequality and the
calculation method of running time under different conditions are given to ensure the exponential stability of each batch
and the asymptotic stability of each phase. According to the running time, the advanced switching concept is adopted to
avoid the occurrence of asynchronous switching and ensure the stable operation of the system. The simulation case shows
that the designed controller is effective and feasible. |
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| Keywords: | multi-phase batch process robust fuzzy predictive control asynchronous switching control linear matrix inequality average dwell time |
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