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Auto-tuning for non-parametric convolution model-based predictive functional controller
Auto-tuning for non-parametric convolution model-based predictive functional controller
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机译:基于非参数卷积模型的预测功能控制器的自动调整
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摘要
A method of tuning, preferably auto-tuning (fig.1), of a predictive functional controller 3. The method is based on a non-parametric convolution model of the process 4. It can be used only for stable processes. The method may include the classical PFC control law being altered in a way that only a recorded step response reference 1 can be used for tuning. Such a modification may lower the number of parameters for PFC tuning and simplifies the retuning procedure by skipping a conventional step of identifying the process model parameters. Preferably the method enables the control law to be modified in order to implement anti-windup protection and include an exponential decay of future control signals in the minimization process called implicit filtering 10 of the control signals.
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