| 引用本文: | 徐辰华,吴 敏.铅锌烧结过程质量产量的智能集成优化控制[J].控制理论与应用,2008,25(4):688~692.[点击复制] |
| XU Chen-hua,WU Min.Intelligent integrated optimization control of quality and quantity for lead-zinc sintering process[J].Control Theory and Technology,2008,25(4):688~692.[点击复制] |
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| 铅锌烧结过程质量产量的智能集成优化控制 |
| Intelligent integrated optimization control of quality and quantity for lead-zinc sintering process |
| 摘要点击 1473 全文点击 1076 投稿时间：2006-08-17 修订日期：2007-08-30 |
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| DOI编号 |
| 2008,25(4):688-692 |
| 中文关键词 质量产量预测模型 优化控制模型 模糊聚类算法 遗传混沌算法 集成优化控制 |
| 英文关键词 quality-quantity-based predictive model optimization control model fuzzy clustering genetic chaos intelligent integrated optimization control |
| 基金项目 国家杰出青年科学基金资助项目(60425310); 国家863计划课题(2008AA04Z128). |
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| 中文摘要 |
| 针对铅锌烧结过程具有大滞后、多约束的特点, 建立烧结块质量产量神经网络预测模型和优化控制模型,提出一种融合聚类搜索粗优化和混沌遗传细优化的智能集成优化控制方法. 首先采用模糊聚类算法进行优化样本查询, 所得结果作为问题的次优解; 然后采用最优保存对简单遗传混沌算法进行二次优化, 求取问题的最优解; 最后对智能集成方法进行实际验证, 系统运行结果表明, 该方法较好地实现了高产、优质的生产目标, 并且具有全局收敛性和工业有效性, 为解决复杂工业过程的优化控制问题提供了一种有效、实用的新思路. |
| 英文摘要 |
| Based on features in the lead-zinc sintering process, such as the large time delay and multiple constraints, the quality-quantity-based predictive model is established and an intelligent integrated optimization control method is proposed. First, the fuzzy clustering searching method is applied to the database query optimization, and the suboptimal solution of this problem is calculated. Second, the elitist preserved simple genetic algorithm and chaos optimization are used to implement the accurate optimization. Practical applications confirm the global convergence of the method and demonstrate its industrial feasibilities in promoting product quantity and improving product quality. It is an effective and new idea to
implement the global optimization control for complex process. |
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