| 基于工序指标耦合关系分解的选冶全流程分层优化方法 |
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| 引用本文： | 刘潭,袁青云,王福利,何大阔,王永刚.基于工序指标耦合关系分解的选冶全流程分层优化方法[J].控制与决策,2018,33(3):413-421. |
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| 作者姓名： | 刘潭 袁青云 王福利 何大阔 王永刚 |
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| 作者单位： | 沈阳农业大学~信息与电气工程学院，沈阳 110866,沈阳农业大学~信息与电气工程学院，沈阳 110866,东北大学信息科学与工程学院，沈阳 110004,东北大学信息科学与工程学院，沈阳 110004,沈阳农业大学~信息与电气工程学院，沈阳 110866 |
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| 基金项目： | 国家自然科学基金项目(61673281, 61533007, 61374146, 61374147). |
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| 摘 要： | 针对某选冶全流程分层优化中工序指标众多且各工序指标之间存在一定耦合关系的问题,提出一种基于工序指标耦合关系分解的全流程分层优化方法.该方法是在全流程分层优化的基础上,利用两个指标实现对工序指标的分解,进而将工序层优化问题转换为相应的子优化问题.这种方法能够简化原始的工序层优化问题,提高选冶全流程分层优化问题的求解效率,且具有较高的全局收敛性.仿真结果表明,相比于常规全流程优化方法以及单纯的全流程分层优化方法,所提出的优化方法具有较好的性能.
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| 关 键 词： | 全流程分层优化 工序指标 耦合关系 选冶流程 约束耦合 目标耦合 |
Plant-wide hierarchical optimization method based on decomposition of coupling relationship between technical indices for mineral and metallurgical processes |
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| LIU Tan,YUAN Qing-yun,WANG Fu-li,HE Da-kuo and WANG Yong-gang.Plant-wide hierarchical optimization method based on decomposition of coupling relationship between technical indices for mineral and metallurgical processes[J].Control and Decision,2018,33(3):413-421. |
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| Authors: | LIU Tan YUAN Qing-yun WANG Fu-li HE Da-kuo and WANG Yong-gang |
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| Affiliation: | College of Information and Electrical Engineering,Shenyang Agricultural University,Shenyang110866,China,College of Information and Electrical Engineering,Shenyang Agricultural University,Shenyang110866,China,College of Information Science and Engineering,Northeastern University,Shenyang110004,China,College of Information Science and Engineering,Northeastern University,Shenyang110004,China and College of Information and Electrical Engineering,Shenyang Agricultural University,Shenyang110866,China |
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| Abstract: | In the plant-wide hierarchical optimization for mineral and metallurgical processes, the technical indices are numerous, and a certain coupling relationship exists among them. Aiming at this problem, a plant-wide hierarchical optimization method based on the decomposition of coupling relationship between technical indices is proposed. On the basis of the plant-wide hierarchical optimization, the proposed method uses two metrics to decompose the technical indices, and then the procedure-level optimization problem is converted into the corresponding sub-problems. This method can simplify the original procedure-level optimization problem and improve the efficiency of solving the plant-wide hierarchical optimization problem for mineral and metallurgical processes, which has a strong global convergence. Simulation results show that the proposed optimization method has better performance in comparison with the conventional plant-wide optimization method and the pure plant-wide hierarchical optimization method. |
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