Abstract

Friction coefficient affects the aircraft landing and takeoff safety. Friction coefficient test equipment is the key equipment to obtain the friction coefficient of the runway. Speed measurements for runway friction measurements and its compensating means have been developed, which affect the accuracy and stability of runway friction measurements. Information fusion was finished based on hall sensor, GPS and Kalman filter, in which the quick response characteristic of hall sensor and relative positioning advantage of GPS were employed. The limitation of stability and cumulating error for tradition friction test vehicle are overcome, and high accuracy speed measurement and friction coefficient compensation are realized. The simulation results show the reliability and validity of the algorithm.

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