Abstract: In order to improve the operation efficiency of belt conveyor for coal-fired power plant, an optimization approach is proposed. The mathematical model of the belt conveyor is built firstly, its optimal parameters are obtained by using the dynamic parameter analysis method based on the finite element model. Then the load shifting strategy is carried out with open loop optimal control. Finally, the model predictive control is used with feedback correction and rolling optimization because of the control error due to interference. The results show that the model predictive control strategy can save energy remarkably, reduce production cost greatly, increase production efficiency of power plant, and have good practical application value.

Key words: Belt conveyor, open loop optimal control, model predictive control, load shifting; energy saving

摘要： 针对发电厂输煤皮带机系统能源效率较低的问题，提出了提高皮带机运行效率的优化控制方案。首先分析确立了皮带机功率的数学模型，然后利用基于有限元模型的动态参数分析法获得精确的优化参数，采用开环最优控制削峰填谷策略优化处理。最后根据系统中存在干扰产生控制误差的问题，引入模型预测控制算法（MPC）进行反馈校正和滚动优化。结果表明在分时电价下，模型预测控制策略节能显著，使生产成本大大降低，增加了发电厂的生产效益，具有良好的实际应用价值。

关键词: 皮带机, 开环最优控制, 模型预测控制, 削峰填谷, 节能