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EN
Most industrial processes are characterized by the presence of time delays. These time delays may be intrinsic to the process to be controlled or associated to the controller itself. The Smith Predictor scheme was the most famous control method for controlling stable single-input-single-output linear processes showing a delay in their input or output. Solution to the problems related to robustness as well as those involved in the control of integrating and unstable delayed processes were presented. Most of these solutions do not cover all the situations and, in any case, they lead to complex controllers. This paper reviews the most relevant problems and their solutions in the literature, and a new methodology to design dead-time compensator for stable, integrating and unstable processes is reported. Several illustrative examples show that the robustness and performance of the proposed methodology are similar or better than the more recently proposed dead-time compensators, the design approach being simple and straightforward.
EN
Some issues about multirate systems and signals are reviewed in this contribution. First, different models for these signals and systems are considered. Discrete time sequences or blocks of data structured in a sequential or shifted form, allow the representation of signals sampled at different sampling rates, all of them being globally periodic. Process models dealing with sequences or blocks of data can be used to represent multirate scenarios. These models will also lead to a number of appropriate control design techniques. For the analysis and design of multirate controllers, different approaches are considered, such as the discretization of continuous time designed controllers or the direct design of multirate controllers. These techniques are compared and some properties and drawbacks are highlighted. In particular, the ripple in the intersampling behaviour of the controlled system, considered as an unavoidable drawback of multirate controllers, is also investigated.
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