Multi-objective optimization design of cement grate cooler control system based on improved long short-term memory network
Multi-objective optimization design of cement grate cooler control system based on improved long short-term memory network
复制标题
基于改进长短期记忆网络的水泥篦冷机控制系统多目标优化设计
DOI：
10.1177/01423312211023017
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发表时间：
2021-06
影响因子：
1.8
通讯作者：
Dong Feng
中科院分区：
文献类型：
--
作者：
Wang Hongyi;Zhang Kun;Xinjun Zhu;Song Limei;Dong Feng
对于水泥生产过程来说，篦冷机的优化方法对于降低能耗、保证产品质量具有重要意义。篦冷机作为一个复杂而缓慢的控制过程，其控制目标有多个，由设计参数确定。为了自动计算设计参数的时间延迟，我们提出了一种改进的具有自适应计算时间的长短期记忆（ACT-LSTM）模型来进行客观预测。提出了一种改进的多目标优化算法——有界稳定非支配排序遗传算法II（BS-NSGA-II）来求解最优解。采用该方法后，平均电耗降低13.2%，二次风温度提高，熟料出口温度稳定在合理范围内，设计参数变化平稳。实验结果表明，该方法在目标优化和设备稳定运行方面是有效的。
For the cement production process, the optimization method of the grate cooler is important in reducing energy consumption and ensuring product quality. As a complicated and slow control process, there are several control objectives of the grate cooler, which are determined by design parameters. To compute the time delay of the design parameters automatically, we propose an improved long short-term memory with adaptive computation time (ACT-LSTM) model for objective prediction. An improved multi-objective optimization algorithm named bounded stable non-dominated sorting genetic algorithm II (BS-NSGA-II) is proposed to solve the optimal solutions. With the proposed methods, the average electricity consumption is reduced by 13.2%, the secondary air temperature is increased, the clinker outlet temperature is stabilized in a reasonable range, and the design parameters change smoothly. The experiment results have indicated that the proposed method is effective in the optimization of objectives and the stability operation of the equipment.
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