In this paper, a high dynamic test-bed control problem for high dynamic vehicle simulation is studied in order to improve the tracking of speed and torque. As the system is nonlinear and square (2x2) with two inputs and two outputs, a multi-input multi-output (MIMO) system-identification problem is discussed. The test-bed data are processed using a fast frequency domain methodology to build a nominal linear plant and a perturbation model. Based on this perturbed plant, the CRONE Control-System Design approach (a fractional order of differentiation based methodology) is used to design a robust MIMO controller, which maintains performance around a wide set of operating points. Finally, experimental results show the relevance of the proposed methodology.
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