论文部分内容阅读
以铅锌烧结过程为研究对象,针对烧结过程透气性的控制问题,提出了基于集成预测模型与遍历优化搜索算法的铅锌烧结透气性优化控制方法。首先采用优化组合集成技术将神经网络预测模型和灰色系统预测模型有机结合,建立烧结综合透气性集成预测模型,然后结合14~#风箱温度和烧穿点温度建立透气性状况综合评判模型,最后通过遍历优化搜索算法,获得二配配比和混合料水分设定值,并进行跟踪控制,从而实现烧结过程透气性的优化控制。仿真结果表明:该方法能有效改善烧结过程的透气性,稳定烧结过程。
Taking the lead-zinc sintering process as the research object, in view of the control of the permeability of the sintering process, an optimal control method of lead-zinc sintering gas permeability based on integrated prediction model and ergodic optimization search algorithm was proposed. Firstly, the integrated forecasting model of neural network and the forecasting model of gray system are combined by using the optimal combination of integration technology to establish integrated model of integrated prediction of gas permeability. Then, a comprehensive evaluation model of gas permeability is established based on the temperature of 14 ~ Traversing the optimization search algorithm to obtain the two formulations and the mixture of moisture settings, and tracking control, in order to achieve the optimal control of the permeability of the sintering process. The simulation results show that this method can effectively improve the permeability of the sintering process and stabilize the sintering process.