Ramp-Tracking Generalized Predictive Control System-Based on Second-Order Difference
| Autor: | Thyago Estrabis, Raymundo Cordero, Cristiano Quevedo Andrea, Edson Antonio Batista, G. Gentil |
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| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Computer science Horizon 020208 electrical & electronic engineering Order (ring theory) 02 engineering and technology Function (mathematics) Tracking (particle physics) Tracking error Model predictive control 020901 industrial engineering & automation Control theory Integrator 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Constant (mathematics) |
| Zdroj: | IEEE Transactions on Circuits and Systems II: Express Briefs. 68:1283-1287 |
| ISSN: | 1558-3791 1549-7747 |
| DOI: | 10.1109/tcsii.2020.3019028 |
| Popis: | This brief proposes an adaptation of the Generalized Predictive Control (GPC) for ramp-reference tracking. The second-order difference operation and the plant model are used to get an augmented model with two embedded integrators and whose output is the tracking error. Differently from other GPC-based tracking algorithms, the proposed approach does not require information about the reference parameters, and the GPC prediction horizon is composed of the predicted errors instead of the expected plant outputs. Thus, the optimization function and the receding horizon strategy used in conventional GPC can be applied to get the control law. Simulation and experimental results prove that the proposed approach can successfully track constant and ramp references. The proposed method is applicable for single-input single-outputs plants. However, the mathematical background presented in this brief can be used in the development of new GPC strategies. |
| Databáze: | OpenAIRE |
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