火电厂大型单元机组实现智能自适应预测控制的研究

We study the model of multivariable unit piant,discoulpling the control parameters using multivariable frequency domain analysis.We are satisefy with the control method which are not only adapt to load's requirement, while the main vapor presser's vibration is in the scope ,but also its control and compensator is easy to get. During the past three years, we adopt DMC,GPC and other control methods which have never been used in coordinated control system. GPC has an effective efficiency and strong robustness and be suitable for controlling the complicated industrial process whose mathematical is not simple to be established precisely. Selecting the correct value for the parameters, we get the response figure. All we do show that the new control methods have good control result and strong robustness.

大型单元机组控制对象时变、滞后大、多变量强耦合、非线性属复杂被控对象。目前国内外仍采用传统的控制策略，受各种扰动导致参数不确定模型难于准确建立，使机组不能运行在最佳状态。控制理论的发展日新月异，研究将自适应预测控制策略应用于大型单元机组，可使系统控制在最佳运行状态提高抗干扰能力及控制质量降低煤耗，可产生巨大的经济效益。