Abstract
Reliable control strategies for complex dynamic systems have to account for stability and robustness despite the presence of both parameter uncertainty and measurement errors. In addition, such control strategies have to comply with performance specifications that can be described either by the minimization of suitable cost functions or by direct specifications of desired reference trajectories. To handle bounded uncertainty and errors in a reliable way, it is possible to include the use of interval analysis in real-time control environments. Previous work has shown that approaches based on the general methodology of sliding mode and predictive control are promising options in this context. This paper presents a comparison of the properties of interval extensions of both types of control procedures for the thermal subsystem of a high-temperature solid oxide fuel cell. Representative simulation results conclude this contribution.
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Rauh, A., Senkel, L., Auer, E. et al. Interval Methods for Real-Time Capable Robust Control of Solid Oxide Fuel Cell Systems. Math.Comput.Sci. 8, 525–542 (2014). https://doi.org/10.1007/s11786-014-0205-x
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DOI: https://doi.org/10.1007/s11786-014-0205-x
Keywords
- Interval analysis
- Sliding mode control
- Predictive control
- Sensitivity analysis
- Temperature control of solid oxide fuel cells