基于神经网络非线性模型的扩展DMC预测控制
EXTENDED DMC PREDICTIVE CONTROL USING NEURAL NETWORK MODEL
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摘要: 利用前馈神经网络建立对象的非线性预测模型，用多级阶跃响应建立平均线性模型．利用平均线性模型进行滚动优化，利用非线性预测模型校正线性模型，实现非线性预测控制．仿真表明文中提出的方法控制效果良好，满足实时要求．Abstract: The paper uses feedforward neural networks for modeling a nonlinear system to obtain its nonlinear predictive model and get its linear average model from multi-step responses. We apply the linear average model to rolling optimization, and adjust the average model with the nonlinear predictive model to implement nonlinear predictive control. The simulation results demonstrate the good performance and high real-time property of the proposed control strategy.
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