Abstract:The Activated Sludge Process (ASP) is arguably the most popular bioprocess utilized in the treatment of polluted water. The ASP is described by means of a nonlinear model and results on a Two-Input Two-Output multivariable system. In this paper a discrete time digital control is proposed where the design of a decentralized controller is faced. Local controllers are given the form of a Two-Degree-of-Freedom PI controller tuned using the data-driven Virtual-Reference Feedback tuning approach.
Abstract-In this paper, a modular thermal modelling approach for a water-cooled Proton Exchange Membrane fuel cell (PEM-FC) stack is proposed. The resultant model is based on the heat flux inside the stack and has been validated in a real test station. Then, a linear model predictive control (MPC) strategy for temperature regulation is designed and tested in simulation with promising results. The proposed MPC controller not only tackles the temperature regulation problem, but also incorporates necessary management constraints for the proper operation of the system in real conditions.
Abstract-In this paper, a new control-oriented modelling methodology for the thermal dynamics of water-cooled Proton Exchange Membrane Fuel Cells (PEMFC) is presented and validated. This methodology is not only useful for control applications, but also can be used for predicting the temperature variation across the stack, allowing to monitor its operation. The methodology has been validated in a real 600W, 20-cells, water cooled PEMFC, with encouraging results for both the stationary and the transient states. Results show that the proposed methodology is accurate and suitable for control purposes
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