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An algorithm of adaptive iterative learning control (AILC) based on model is proposed for a class of CARMA models with repetitive trajectory in a specific period of time. Process model parameters are identificated using previous time data and AILC law of the current time is constituted by process model parameters. Convergence and stability are analyzed. The algorithm for linear stable process can...
A simple modified Smith predictor controller design is proposed for integrating processes with long dead-time. The overall control structure introduce two physically meaningful tuning parameters. One is used to set the speed of the closed-loop servo response and the other is used to set the performance of the load response. A simple controller tuning method is also developed to obtain the PI tuning...
The iterative learning control (ILC) strategies with two controllers based on Smith compensator were proposed for batch process which had uncertainties in modeling and time delay. They fully used previous batch control information and were attached to the current control system to improve tracking performance through repetition. The dynamics of process were represented by transfer function plus pure...
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