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Generalized Predictive Control Algorithm Applied to Thermal Power Units Based on PID Neural Network

机译:基于PID神经网络的火电机组广义预测控制算法。

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Large-scale Generating Unit in heat power is a system which is complex nonlinear, multivariable, time-variant with long-time delay and difficult to establish accurate model, and etc. So it is hard to make system gain optimum running effect with conventional control strategy. A PID network which has dynamic charsicter is used to identify the coordinated control system for establishing a predictive model of generalized predictive control strategy. The Gtneralized predictive control strategy has some beneficial characteristics such as wide application and strong robustness. It achieves predictive control with online rolling optimization and real time feedback revision. The results of the emulation show the availability of it.
机译:火力发电大型机组是一个非线性复杂,多变量,时变,时滞长,难以建立精确模型等系统,因此难以通过常规控制使系统获得最佳运行效果。战略。具有动态特征的PID网络用于识别协调控制系统,以建立广义预测控制策略的预测模型。 Gtneralized的预测控制策略具有一些有益的特性,例如广泛的应用和强大的鲁棒性。它通过在线滚动优化和实时反馈修订来实现预测控制。仿真结果显示了它的可用性。

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