## Abstract Model predictive control algorithms achieve offsetβfree control objectives by adding integrating disturbances to the process model. The purpose of these additional disturbances is to lump the plantβmodel mismatch and/or unmodeled disturbances. Its effectiveness has been proven for parti
Offset-free reference tracking with model predictive control
β Scribed by Urban Maeder; Manfred Morari
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 505 KB
- Volume
- 46
- Category
- Article
- ISSN
- 0005-1098
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β¦ Synopsis
The standard way to achieve offset-free tracking in MPC is to add the disturbance dynamics to the prediction model and then use an observer to estimate the real disturbance. Existing algorithms only consider piecewise constant signals, while in practice it is often desirable to have a wider choice of reference and disturbance dynamics, such as sinusoids and ramps. This work provides a generalization of the disturbance estimation approach to arbitrary unstable dynamics. Zero offset is achieved under the assumption that the disturbance and reference dynamics are appropriately included in the prediction model and feasibility of the commanded reference is given.
π SIMILAR VOLUMES
A generalized predictive control scheme for tracking a periodic reference signal, based on the internal model principle, is proposed. Using LQ regulator theory, some stability results are derived. Also. some simulation results for the self-tuning case are presented to see the effectiveness of the pr