双层结构预测控制中积分过程的稳态目标优化方法
The Optimization Method of Steady-State Objective for the Integrating Process in a Two-layer Model Predictive Control System
查看参考文献16篇
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文摘
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讨论了积分过程的稳态优化问题.针对积分过程的模型不确定性对双层结构预测控制中稳态目标计算的影响,在基于“点”模型的经济优化模型的基础上,考虑输入增量变化和输出变量初始值的误差对稳态目标计算的影响,采用迭代补偿的方法,不断的修正“点”模型的等式约束条件,更新优化设定点.通过仿真可以看出,新的稳态优化设定点是一个渐近的动态过渡过程,稳态优化的计算偏差大幅下降,有效地改善了模型不确定性对稳态目标计算的影响. |
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其他语种文摘
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Model uncertainty can deteriorate the steady state objective in a two-layer model predictive control system. Based on the economic optimization model with a point model, we propose an iterative compensation method to correct the equality constraints of the point model, considering the change of the inputs'increment and the errors of the outputs' original values, and to update the optimal set-points. The calculation of optimal set-points becomes an asymptotic, dynamic transient process. The simulations show that the error of the steady-state objective is largely diminished and the influences of model uncertainty on steady-state optimization are improved effectively. |
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来源
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信息与控制
,2014,43(4):405-410 【核心库】
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关键词
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双层结构预测控制
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积分过程
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模型不确定性
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稳态目标计算
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“点”模型
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地址
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1.
东北大学物流优化与控制研究所, 辽宁省制造系统与物流管理重点实验室, 辽宁, 沈阳, 110819
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中国科学院沈阳自动化研究所信息服务与智能控制技术研究室, 辽宁, 沈阳, 110016
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1002-0411 |
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学科
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自动化技术、计算机技术 |
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基金
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国家自然科学基金资助项目
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国家863计划
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中国科学院重点部署项目
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中国博士后科学基金
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文献收藏号
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CSCD:5241020
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参考文献 共
16
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