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야지 주행 로봇을 위한 횡 방향 힘 추정 모델의 설계 및 마찰계수 추정 신뢰도의 향상

Design of Lateral Force Estimation Model for Rough Terrain Mobile Robot and Improving Estimation Reliability on Friction Coefficient

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초록

For a mobile robot that travels along a terrain consisting of various geology, information on tire force and friction coefficient between ground and wheel is an important factor. In order to estimate the lateral force between ground and wheel, a lot of information about the model and the surrounding environment of the vehicle is required in conventional method. Therefore, in this paper, we are going to estimate lateral force through simple model (Minimal Argument Lateral Slip Curve, MALSC) using only minimum data with high estimation accuracy and to improve estimation reliability of the friction coefficient by using the estimated lateral force data. Simulation is carried out to analyze the correlation between the longitudinal and transverse friction coefficients and slip angles to design the simplified lateral force estimation model by analysing simulation data and to apply it to the actual field environment. In order to verify the validity of the equation, estimation results are compared with the conventional method through simulation. Also, the results of the lateral force and friction coefficient estimation are compared from both the conventional method and the proposed model through the actual robot running experiments.

Abstract

For a mobile robot that travels along a terrain consisting of various geology, information on tire force and friction coefficient between ground and wheel is an important factor. In order to estimate the lateral force between ground and wheel, a lot of information about the model and the surrounding environment of the vehicle is required in conventional method. Therefore, in this paper, we are going to estimate lateral force through simple model (Minimal Argument Lateral Slip Curve, MALSC) using only minimum data with high estimation accuracy and to improve estimation reliability of the friction coefficient by using the estimated lateral force data. Simulation is carried out to analyze the correlation between the longitudinal and transverse friction coefficients and slip angles to design the simplified lateral force estimation model by analysing simulation data and to apply it to the actual field environment. In order to verify the validity of the equation, estimation results are compared with the conventional method through simulation. Also, the results of the lateral force and friction coefficient estimation are compared from both the conventional method and the proposed model through the actual robot running experiments.

참고문헌 (12)

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  4. J. Y. Kim, "Traction-energy balancing adaptive control with slip optimization for wheeled robots on rough terrain", Cognitive Systems Research, 49, pp.142~156 (2018)[DOI]
  5. C.-S. Kim, "Estimation of Tire-Road Friction Based on Onboard 6-DoF Acceleration Measurement", Vehicular Technology IEEE Transactions on, 64, pp.3368~3377 (2015)[DOI]
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  12. R. Ghandour, "Tire", road friction coefficient estimation applied to road safety, 2010, ~

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