Multi-parametric extremum seeking-based learning control for electromagnetic actuators

We study in this paper the problem of adaptive robust control of electromagnetic actuators. We first design a nonlinear controller that stabilizes locally the error dynamics. Next, we complement this nonlinear controller with a multi-parametric extremum seeking control to tune the feedback gains of the nonlinear controller. We use numerical tests to demonstrate the performance of this controller in dealing with model uncertainties.