2018/04/08 by Bowen Yi, Roméo Ortega, Yi, Bowen +5
Engineering · #Adaptive Control of Nonlinear Systems #Control and Stability of Dynamical Systems #FOS: Electrical engineering #Magnetic Bearings and Levitation Dynamics #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1804.02697
openalex publication_date 2018/04/08 · openalex created_date 2018/04/13 · openalex updated_date 2026/07/28
In this paper we address the problem of sensorless control of the 1-DOF magnetic levitation system. Assuming that only the current and the voltage are measurable, we design an adaptive state observer using the technique of signal injection. Our main contribution is to propose a new filter to identify the virtual output generated by the signal injection. It is shown that this filter, designed using the dynamic regressor extension and mixing estimator, outperforms the classical one. Two additional features of the proposed observer are that (i) it does not require the knowledge of the electrical resistance, which is also estimated on-line and (ii) exponential convergence to a tunable residual set is guaranteed without excitation assumptions. The observer is then applied, in a certainty equivalent way, to a full state-feedback control law to obtain the sensorless controller, whose performance is assessed via simulations and experiments.