Multivariable Offset-Free Model Predictive Control for Quadruple Tanks System


The look and implementation of a sturdy multivariable model predictive management (MPC) on a quadruple tanks system (QTS) is addressed during this paper. Mismatch between the MPC's model and the process may cause constraint violation, nonoptimized performance, and even instability. It is the target of this paper to offset-free management the process within the presence of constraints and model mismatch. It is shown in this paper how this model mismatch is compensated by augmented state disturbances, and conjointly how the steady-state error is eliminated. In the proposed methodology, an observer is meant to estimate the disturbances and states. The results show how the proposed control method will increase the robustness of the model predictive controller in simulation and in real-time implementations on a new QTS proposed during this work together with techniques designed to spot the parameters of this novel plant.

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