A Comprehensive Vehicle Stability Assessment System Based on Enabling Tire Force Estimation

Ding, Xiaolin; Wang, Zhenpo; Liu, Jizheng

doi:10.1109/tvt.2022.3193139

Cited by 24 publications

(9 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Stability indicator is important for preventing tractor from rollover in the working process, it is the base of the rollover warning and active anti-rollover control. Different stability indicator design methods have been presented, such as Ding et al proposed a comprehensive stability assessment scheme using tire fore estimation and load transfer ration value [24]. Song et al proposed a simplified LTR indicator [25].…”

Section: Model Of Tractor Rollover Indicatormentioning

confidence: 99%

Warning and active steering rollover prevention control for agricultural wheeled tractor

2022

View full text Add to dashboard Cite

Tractor rollover is regarded as the most fatal incident in agricultural production, but some of which can be avoided by timely anti-rollover warning and active control. There have been a lot of researches on the tractor rollover model building and rollover protective structure designing but few on the anti-rollover control. The purpose of this study is to develop a cheaper and practical anti-rollover control system based on active steering technique and to prove the efficiency of the proposed scheme for the wheeled tractors. A three-degree-of-freedom rollover dynamics model including automatic steering system is established. A control scheme by adjusting the roll angle to keep the stability based on the adaptive sliding mode control is proposed with the estimated lateral velocity according to the feedback correction principle. Front wheel angle tracking controller is designed adopting internal model control (IMC) theory. Simulation results exhibit that the active anti-rollover control can calculate the stability index in real time and can keep it within the stable range by adjusting the front steering wheel angle. It is prospective for the proposed scheme to provide a valuable reference to reduce tractor rollover accidents.

show abstract

Section: Model Of Tractor Rollover Indicatormentioning

confidence: 99%

Warning and active steering rollover prevention control for agricultural wheeled tractor

2022

View full text Add to dashboard Cite

show abstract

“…Yuan et al [18] compared a nonlinear state observer based on adaptive cubature Kalman filter with three commonly used observers in the estimation accuracy of fuel cell system internal states and analysed the performance of the algorithms. Ding et al [19] utilized the strong tracking unscented Kalman filter (UKF) and the conventional Kalman filter to estimate the longitudinal, lateral and vertical tire forces based on signals from low-cost on-board sensors for stability control. Asl et al [20] originally proposed a new adaptive Kalman filter to obtain a more precise estimation for a servo-hydraulic system.…”

Section: Introductionmentioning

confidence: 99%

Longitudinal vibration estimation of a mine hoist using a hybrid signal fusion method combining UKF, ND and improved DE

Chen,

Zhang,

Chang

et al. 2024

Meas. Sci. Technol.

View full text Add to dashboard Cite

The monitoring of cage longitudinal vibration can directly indicate the operational status of mine hoists. However, it is always challenging to collect the sensor signals of moving cages with high dynamic characteristics in real time from complex working environments using traditional monitoring methods. In this study, a more practical hybrid signal fusion approach is proposed to realize estimation of cage longitudinal vibration from a low sampling rate acceleration acquisition signal and a low cost encoder signal for state estimation. A nonlinear differentiator is applied to extract encoder differential signals and expand observation variables. An unscented Kalman observer based on nonlinear mine hoist model is designed to estimate the unknown state. To overcome the influence of the uncertain parameters, an improved differential evolution (DE) algorithm combining parameter adaptive method, reverse learning competition scheme and multiple parallel populations strategy is proposed to find unknown parameters of the observation model and autotune the parameters of the algorithms by using low sampling rate acceleration. Sensor data of the simulated experiment platform were collected and processed by the xPC system to validate the effectiveness of the proposed strategy. The experimental results showed that the improved DE (IDE) algorithm had a faster mean time for parameter tuning and the smallest fitness value compared to the standard DE, the particle swarm optimization algorithm and the genetic algorithm. Moreover, the longitudinal vibration estimation system, after parameter tuning by the IDE optimization algorithm, could achieve the purpose of signal estimation, with a smaller estimation error and a better estimation effect.

show abstract

“…To track the arbitrarily curved path in the presence of wheel slippage, Chen et al [ 32 ] developed a path tracking controller based on second order sliding mode control and finite time disturbance observer technique. In particular, some control methods for road vehicles in the case of tire sideslip can be referenced to counter this problem [ 33 – 35 ].…”

Section: Introductionmentioning

confidence: 99%

Trajectory tracking for agricultural tractor based on improved fuzzy sliding mode control

et al. 2023

View full text Add to dashboard Cite

Trajectory tracking is one of the key technologies for tractor automatic navigation. Its main purpose is to adjust the steering mechanism of the tractor to follow the planned trajectory. Thus, in this paper a trajectory tracking control system is designed for an agricultural tractor with the electric power steering mechanism. A DC brush motor is added on the steering column of the tractor and the hardware circuits for the steering controller are designed to control the front wheel angel. The three degrees of freedom model of the tractor is established, and a trajectory tracking control system is proposed including a fuzzy sliding mode controller and a steering angle tracking controller designed according to the internal mode control and minimized sensitivity theory. The effectiveness of the designed trajectory tracking control system is demonstrated by simulation analyses in reference to the planed trajectory.

show abstract

A Comprehensive Vehicle Stability Assessment System Based on Enabling Tire Force Estimation

Cited by 24 publications

References 38 publications

Warning and active steering rollover prevention control for agricultural wheeled tractor

Warning and active steering rollover prevention control for agricultural wheeled tractor

Longitudinal vibration estimation of a mine hoist using a hybrid signal fusion method combining UKF, ND and improved DE

Trajectory tracking for agricultural tractor based on improved fuzzy sliding mode control

Contact Info

Product

Resources

About