摘要
针对现有煤调湿预测模型出现的训练时间长、模型失配问题,建立了基于OSVR的煤调湿预测模型,提出了基于OSVR的煤调湿系统智能预测控制方法。该方法利用智能优化算法与预测函数控制相结合来实现对煤调湿系统出口煤湿度的精确控制。仿真和实验结果表明,该方法具有较好的鲁棒性和较高的控制精度。
In view of problem of the long training time and mismatch model of existing coal moisture prediction model, a prediction model of coal moisture control based on OSVR was established, an intelligent predictive control method of coal moisture control system based on OSVR was proposed. The method adopts intelligent optimization algorithm and predictive functional control to realize accurate control of export coal moisture of coal moisture control system. The simulation and experimental results show that the proposed method has better robustness and higher control precision.
出处
《工矿自动化》
北大核心
2016年第3期55-59,共5页
Journal Of Mine Automation
基金
上海市科研计划项目(11510502700)
上海市教委科研创新重点计划项目(12ZZ189)
上海应用技术学院博士基金资助项目(YJ2011-22/YJ2011-33)
关键词
煤调湿
智能预测控制
在线支持向量回归
预测函数控制
coal moisture control
intelligent predicting control
on-line support vector regression
predictive functional control
