Research on Optimal Feedback Tracking Control of TCS Slip Ratio of High Speed Vehicle in Complex Road Conditions

Wu, Mingxiang

doi:10.23919/iccas47443.2019.8971766

Cited by 1 publication

(1 citation statement)

References 21 publications

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“…The results were verified via hardware‐in‐the‐loop simulation. In Wu, 18 a single‐wheel driving model was established, and simulation study was conducted for optimal feedback tracking control of TCS slip ratio of high‐speed vehicle. Development of a control model of a TCS installed on a motorcycle, regulating the slip in traction and improving dynamic behavior of two‐wheeled vehicles with fuzzy logic, was considered and simulated in Cabrera et al 19 Most of the papers mentioned above, while excellent, their results were not verified and actually validated in the real‐world roads.…”

Section: Introductionmentioning

confidence: 99%

Advanced stabilizing control for electric scooters

Chen

Lin

et al. 2020

Asian Journal of Control

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This paper proposes a novel traction control system (TCS) based on feedback sensing of multi‐state of electric scooters (i.e. vehicle‐road inclination, vehicle yaw rate, vehicle lateral force, vehicle slip, vehicle speed, etc.). The real‐time states of the scooter are measured by a Hall sensor at the rear wheel, a photointerrupter at the front wheel and inertial measurement unit at the center‐of‐gravity of the vehicle. A fuzzy logic based traction control design is developed to against the driving wheel drift or slipping. The controller is realized by an advanced digital signal processor for fast command computation. Our design has been successfully applied in a commercial electric scooter with satisfactory performance for the pre‐specified testing items. Real‐world experiments prove feasibility of the proposed design which show that our design can effectively prevent the electric scooter from slipping while improves riding safety.

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Section: Introductionmentioning

confidence: 99%