A comparative study of the recursive least squares and fuzzy logic estimation methods for the measurement of road adhesion coefficient

Qi, Gengxin; Fan, Xiaobin; Li, Hao

doi:10.1080/14484846.2021.1967839

Cited by 5 publications

(2 citation statements)

References 40 publications

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“…Due to factors such as tire and road adhesion coefficient, the maximum ground braking force of the wheels should not exceed the adhesion force [48]. When the local braking force exceeds the adhesion force, the wheels may experience lock-up and slip, and there may be phenomena such as front wheel lock-up or rear wheel lock-up.…”

Section: Key Technologiesmentioning

confidence: 99%

A Systematic Review and Future Development of Automotive Chassis Control Technology

Yang,

Zang,

et al. 2023

Applied Sciences

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Automotive chassis control technology plays a crucial role in ensuring the stability, performance, and safety of vehicles. This paper reviews and discusses automotive steering/braking/driving/suspension systems from perspectives of system composition, the state of the art, and key technologies. Detailed analysis is conducted on critical techniques related to system fault tolerance, road feel feedback, brake force distribution strategy, electric motors, and motor controllers. The development and application of automotive chassis control technology is in line with the goals and objectives for the advancement of the automotive industry in terms of innovation, safety, and environmental sustainability.

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Section: Key Technologiesmentioning

confidence: 99%

A Systematic Review and Future Development of Automotive Chassis Control Technology

Yang,

Zang,

et al. 2023

Applied Sciences

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“…In the field of intelligent vehicles, the unstructured pavement is characterized by complexity and randomness, which more easily causes safety problems and has higher performance requirements for vehicle safety control [ 1 , 2 , 3 ]. Safety control of vehicles often needs to adjust the force between road surfaces and tires, and the interaction force is also a key and vital factor that affects the stability of the vehicle chassis [ 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

Adhesion Coefficient Identification of Wheeled Mobile Robot under Unstructured Pavement

Zhang,

Song,

et al. 2024

Sensors

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Because of its uneven and large slope, unstructured pavement presents a great challenge to obtaining the adhesion coefficient of pavement. An estimation method of the peak adhesion coefficient of unstructured pavement on the basis of the extended Kalman filter is proposed in this paper. The identification accuracy of road adhesion coefficients under unstructured pavement is improved by introducing the equivalent suspension model to optimize the calculation of vertical wheel load and modifying vehicle acceleration combined with vehicle posture data. Finally, the multi-condition simulation experiments with Carsim are conducted, the estimation accuracy of the adhesion coefficient is at least improved by 3.6%, and then the precision and effectiveness of the designed algorithm in the article are verified.

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Acceleration Slip Regulation Control Method for Distributed Electric Drive Vehicles under Icy and Snowy Road Conditions

Sun,

Xiao,

Wang

et al. 2024

Applied Sciences

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To achieve a rapid and stable dynamic response of the drive anti-slip system for distributed electric vehicles on low-friction surfaces, this paper proposes an adaptive acceleration slip regulation control strategy based on wheel slip rate. An attachment coefficient fusion estimation algorithm based on an improved singular value decomposition unscented Kalman filter is designed. This algorithm combines Sage–Husa with the unscented Kalman filter for adaptive improvement, allowing for the quick and accurate determination of the road friction coefficient and, subsequently, the optimal slip rate. Additionally, a slip rate control strategy based on dynamic adaptive compensation sliding mode control is designed, which introduces a dynamic weight integral function into the control rate to adaptively adjust the integral effect based on errors, with its stability proven. To verify the performance of the road estimator and slip rate controller, a model is built with vehicle simulation software, and simulations are conducted. The results show that under icy and snowy road conditions, the designed estimator can reduce estimation errors and respond rapidly to sudden changes. Compared to traditional equivalent controllers, the designed controller can effectively reduce chattering, decrease overshoot, and shorten response time. Especially during road transitions, the designed controller demonstrates better dynamic performance and stability.

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A comparative study of the recursive least squares and fuzzy logic estimation methods for the measurement of road adhesion coefficient

Cited by 5 publications

References 40 publications

A Systematic Review and Future Development of Automotive Chassis Control Technology

A Systematic Review and Future Development of Automotive Chassis Control Technology

Adhesion Coefficient Identification of Wheeled Mobile Robot under Unstructured Pavement

Acceleration Slip Regulation Control Method for Distributed Electric Drive Vehicles under Icy and Snowy Road Conditions

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