
In this paper we address the problem of state observation for sensorless control of nonlinear magnetic levitation systems, that is, the regulation of the position of a levitated object measuring only the voltage and current of the electrical supply. Instrumental for the development of the theory is the use of parameter estimation-based observers, which combined with the dynamic regressor extension and mixing parameter estimation technique, allow the reconstruction of the magnetic flux. With the knowledge of the latter it is shown that the mechanical coordinates can be estimated with suitably tailored nonlinear observers. Replacing the observed states, in a certainty equivalent manner, with a full information globally stabilising law completes the sensorless controller design. We consider one and two-degrees-of-freedom systems that, interestingly, demand totally different mathematical approaches for their solutions. Simulation results are used to illustrate the performance of the proposed schemes.
Observability, Systems and Control (eess.SY), Feedback control, adaptive control, Electrical Engineering and Systems Science - Systems and Control, Adaptive control/observation systems, Application models in control theory, nonlinear observer, sensorless control, FOS: Electrical engineering, electronic engineering, information engineering, Stabilization of systems by feedback, Nonlinear systems in control theory, Maglev system
Observability, Systems and Control (eess.SY), Feedback control, adaptive control, Electrical Engineering and Systems Science - Systems and Control, Adaptive control/observation systems, Application models in control theory, nonlinear observer, sensorless control, FOS: Electrical engineering, electronic engineering, information engineering, Stabilization of systems by feedback, Nonlinear systems in control theory, Maglev system
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