Synthesis of adaptive robust measuring wheel braking control systems for an autonomous runway friction coefficient tester

The article develops a complete nonlinear mathematical model of the dynamics of controlled braking of the measuring wheel of an autonomous friction coefficient tester and synthesizes two adaptive robust control systems with a reference model under conditions of uncertainty and external disturbances. The first approach, based on adaptive robust control with a modified reference model, is used to compensate for the effects of electric grid parameters uncertainty and unknown consistent disturbances, describing the effect of the motor part transmitted by means of the measured surface. The second approach, based on adaptive robust control in sliding modes with a reference model, is used to compensate for the influence of the above-mentioned factors and unknown inconsistent disturbances, which makes it possible to maintain the set slip value within a wider range. To confirm the effectiveness of the developed systems, modeling was performed in the MatLab/Simulink software environment using a numerical example of control synthesis for a sixth-order nonlinear measuring wheel braking control system.

Authors: A. R. Muzalevskii, D. K. Nguyen, V. V. Putov, E. V. Druian, V. N. Sheludko

Direction: Electrical Engineering

Keywords: friction coefficient tester, measuring wheel braking, modified control algorithms with a reference model, modified reference model, control in sliding modes, adaptive robust control, nonlinear systems, uncertainty, modeling

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