| 引用本文: | 张凤雪,阳春华,周晓君,桂卫华.基于控制周期计算的锌液净化除铜过程优化控制[J].控制理论与应用,2017,34(10):1388~1395.[点击复制] |
| ZHANG Feng-xue,YANG Chun-hua,ZHOU Xiao-jun,GUI Wei-hua.Optimal control based on control period calculation for copper removal process of zinc solution purification[J].Control Theory and Technology,2017,34(10):1388~1395.[点击复制] |
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| 基于控制周期计算的锌液净化除铜过程优化控制 |
| Optimal control based on control period calculation for copper removal process of zinc solution purification |
| 摘要点击 2473 全文点击 1154 投稿时间：2016-08-16 修订日期：2017-11-29 |
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| DOI编号 10.7641/CTA.2017.60621 |
| 2017,34(10):1388-1395 |
| 中文关键词 除铜过程 优化控制 控制周期 控制参数化 状态转移算法 |
| 英文关键词 copper removal process optimal control control period control parameterization state transition algorithm |
| 基金项目 国家自然科学基金项目(61503416, 61533021, 61773403), 探索项目(7131253), 中央高校基本科研业务费专项资金(2016zzts350)及高等学校学科 创新引智计划(B17048) |
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| 中文摘要 |
| 净化除铜过程是锌直接浸出冶炼工艺中硫酸锌溶液净化的第1个步骤, 其效果直接影响着后续工序的正常
进行以及最终锌产品的质量. 本文针对除铜过程中控制周期与锌粉添加量不确定性, 造成出口铜离子浓度波动大
及锌粉浪费等问题, 研究基于控制周期的除铜过程锌粉添加优化控制方法. 首先通过分析反应器中氧化还原电位
(oxidation-reduction-potential, ORP)与锌粉的时序变化关系计算除铜过程反应响应时间, 然后分析响应时间的统计
特性, 从而确定锌粉控制周期. 在确定控制周期的基础上, 采用基于控制周期的固定节点控制参数化方法, 从而将最
优控制求解问题转化为非线性规划问题. 最后, 采用状态转移算法对该非线性规划问题进行求解. 采集工业现场数
据进行实验证明了该优化控制方法的有效性, 为类似的净化过程的优化控制提供了新思路. |
| 英文摘要 |
| The copper removal process is the first step in zinc solution purification of direct leaching of zinc hydrometallurgy,
and its result has a significant impact on the follow-up process and the quality of the final product. In the copper
removal process, the undetermined control period and addition amount of zinc-powder always lead to the fluctuation of
outlet copper concentration and the waste of zinc powder. In order to solve this problem, an optimal control strategy based
on control period calculation for copper removal process is proposed. First, the sequential relationship between oxidationreduction-
potential (ORP) and zinc powder is analyzed to calculate the response time of copper removal process, and then
the control period is obtained by analyzing the statistical characteristic of response time. Next, the optimal control problem
is transformed into a nonlinear mathematical programming problem by the fixed-node control parameterization method.
Furthermore, the state transition algorithm is applied to solve the nonlinear mathematical programming problem. And the
simulation results demonstrate the effectiveness of the proposed control strategy. |
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