针对过热汽温控制的自适应预测控制器设计

Design of Adaptive Predictive Controller for Superheated Steam Temperature Control

针对火电厂过热蒸汽温度控制这种具有大延迟、大惯性、非线性、强时变性等特性的被控对象,设计针对火电厂过热蒸汽温度控制的自适应模型预测控制器,通过对不同模型的在线辨识和控制表明,采用自适应模型预测控制器对过热蒸汽温度进行调节,效果较普通模型预测控制器相比,调节时间大幅缩短,超调量得到了减小或消除,动态性能有了较大的改善。结果表明,该自适应模型预测控制器实施手段简便,可在电厂推广使用,也可应用到解决同类问题中去,具有广阔的应用前景。

An adaptive model predictive controller for overheating steam temperature control of thermal power plants is designed,which is based on the control object with large delay,large inertia,nonlinearity and strong time-varying properties.Through the on-line identification and control of different models,compared with predictive controllers in a general model,in terms of adjusting the superheat steam temperature,the adjusting time can be shortened drastically,the overshoot can be reduced or even eliminated,and the dynamic performance is improved greatly when applying in adaptive model predictive controller.The results show that the adaptive model predictive controller,because of its simple implementation,can be used in power plants,and also can be applied to solve similar problems,which has a broad application prospects.