关键词 ： 灰色预测 ; 模糊控制 ; PID控制 ; 汽温系统 [gap=1008]Keywords: grey prediction; fuzzy control; PID control; steam temperature system
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T-S model is built according to the field data of the main steam temperature system. The experimental results demonstrate that T-S modeling by means of the proposed methods has better identification accuracy and generalization ability.
基于现场主汽温系统数据的T-S模型建模结果表明,通过上述方法建立的模型具有较强的辨识精度和泛化能力。
参考来源 - 基于改进PSO的神经网络优化方法及其在热工系统中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
基于自适应逆控制方法设计了主汽温系统的双回路扰动消除系统。
Based on the methods of adaptive inverse control, double loops of disturbance canceling system are designed for the main steam temperature system.
在前馈部分，构造了一种基于神经网络的前馈控制器，用于主汽温系统的干扰抑制。
In feedforward, based on the neural network control theory, a feedforward controller is designed for disturbances overcoming of the control system.
仿真结果表明，该方案可较好地解决主汽温系统存在的内、外扰动问题，对主汽温系统的扰动消除具有较强的鲁棒性和自适应能力。
The simulation result shows that this method can solve the disturbance problems and has strong robustness and self-adaptability for disturbance canceling of the main steam temperature system.
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