Tire-road friction estimation and uncertainty assessment to improve electric aircraft braking system

Crocetti, Francesco; Fravolini, Mario Luca; Valigi, Paolo

doi:10.1109/med51440.2021.9480241

Cited by 5 publications

(1 citation statement)

References 19 publications

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“…where s i is the slip rate of the i th wheel; ω i is the angular velocity of the i th wheel; and v i is the longitudinal velocity of the i th wheel. Reference roads usually include six types of conditions: ice, snow, wet pebble, wet asphalt, dry cement and dry asphalt [31]. However, the difference between the peak adhesion coefficient of wet pebble and wet asphalt is large, which is not conducive to the recognition of the entire road.…”

Section: Torque Distribution Controller Based On Road Adhesion Coeffi...mentioning

confidence: 99%

Adaptive Stability Control Based on Sliding Model Control for BEVs Driven by In-Wheel Motors

Guo

Feng

et al. 2023

Sustainability

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High-speed and complex road conditions make it easy for vehicles to reach limit conditions, increasing the risk of instability. Consequently, there is an urgent need to solve the problem of vehicle stability and safety. In this paper, adaptive stability control is studied in BEVs driven by in-wheel motors. Based on the sliding model algorithm, a joint weighting control of the yaw rate and sideslip angle is carried out, and a weight coefficient is designed using a fuzzy algorithm to realize adaptive direct yaw moment control. Next, optimal torque distribution is designed with the minimum sum of four tire load rates as the optimization objective. Then, combined with the road adhesion coefficient and the maximum motor torque constraint, the torque distribution problem is transformed into a functionally optimal solution problem with constraints. The simulation results show that the direct yaw moment controller based on the adaptive sliding mode algorithm has a good control effect on the yaw rate and sideslip angle, and it can effectively improve vehicle adaptive stability control. In the optimal torque distributor based on road surface recognition, the estimated error of road adhesion is within 10%, and has a greater margin to deal with vehicle instability, which can effectively improve vehicle adaptive stability control.

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Section: Torque Distribution Controller Based On Road Adhesion Coeffi...mentioning

confidence: 99%

Adaptive Stability Control Based on Sliding Model Control for BEVs Driven by In-Wheel Motors

Guo

Feng

et al. 2023

Sustainability

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Data-driven and uncertainty-aware robust airstrip surface estimation

Crocetti

Fravolini

Valigi

2023

Neural Comput & Applic

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The performances of aircraft braking control systems are strongly influenced by the tire friction force experienced during the braking phase. The availability of an accurate estimate of the current airstrip characteristics is a recognized issue for developing optimized braking control schemes. The study presented in this paper is focused on the robust online estimation of the airstrip characteristics from sensory data usually available on an aircraft. In order to capture the nonlinear dependency of the current best slip on sequential slip-friction measurements acquired during the braking maneuver, multilayer perceptron (MLP) approximators have been proposed. The MLP training is based on a synthetic data set derived from a widely used tire–road friction model. In order to achieve robust predictions, MLP architectures based on the drop-out mechanism have been applied not only in the offline training phase but also during the braking. This allowed to online compute a confidence interval measure for best friction estimate that has been exploited to refine the estimation via Kalman Filtering. Open loop and closed loop simulation studies in 15 representative airstrip scenarios (with multiple surface transitions) have been performed to evaluate the performance of the proposed robust estimation method in terms of estimation error, aircraft braking distance, and time, together with a quantitative comparison with a state-of-the-art benchmark approach.

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A novel subset assignment and matching method for DIC measurement of complex deformation in aircraft braking process

SHI,

GUO,

SUO

et al. 2024

Chinese Journal of Aeronautics

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Tire-road friction estimation and uncertainty assessment to improve electric aircraft braking system

Cited by 5 publications

References 19 publications

Adaptive Stability Control Based on Sliding Model Control for BEVs Driven by In-Wheel Motors

Adaptive Stability Control Based on Sliding Model Control for BEVs Driven by In-Wheel Motors

Data-driven and uncertainty-aware robust airstrip surface estimation

A novel subset assignment and matching method for DIC measurement of complex deformation in aircraft braking process

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