Study on Roll Instability Mechanism and Stability Index of Articulated Steering Vehicles

Li, Xuefei; Wu, Ya Ping; Zhou, Wei; Yao, Zongwei

doi:10.1155/2016/7816503

Cited by 15 publications

(15 citation statements)

References 11 publications

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“…The above dynamic model of ASVs has been verified with experiments, which can be seen in [18]. The experiment results achieved high conformity with the simulation ones.…”

Section: Research On the Control Methods Of Roll Instability Of Asvssupporting

confidence: 57%

Control Methods for Roll Instability of Articulated Steering Vehicles

et al. 2016

Mathematical Problems in Engineering

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This study examines the control methods for roll instability of articulated steering vehicles (ASVs) by taking wheel loaders as the research object. An eight-degrees-of-freedom nonlinear dynamics model of ASVs was built on the basis of multibody dynamics. Three methods, namely, active braking (the front and rear axles have the same braking torque), active steering, and adjusting the swing bridge (applying a control torque between the rear body and rear axle), were adopted to analyze the effects on the roll stability of ASVs through the dynamic model. The results show that active braking is conducive to the roll stability of ASVs during turning, active steering can improve the roll stability of ASVs during turning and passing over obstacles, and adjusting the swing bridge can improve the roll stability of ASVs by changing the vehicle posture and the position of the gravity center.

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“…The above dynamic model of ASVs has been verified with experiments, which can be seen in [18]. The experiment results achieved high conformity with the simulation ones.…”

Section: Research On the Control Methods Of Roll Instability Of Asvssupporting

confidence: 57%

Control Methods for Roll Instability of Articulated Steering Vehicles

et al. 2016

Mathematical Problems in Engineering

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“…Li et al pointed out that the lateral acceleration, angular velocity and the slope angle were the main factors that led to the instability of articulated steering vehicles [ 19 ]. Then, they got the dynamic stability index of the articulated steering vehicle by installing sensors at the rotating joints.…”

Section: Introductionmentioning

confidence: 99%

Multi-Sensor Based Online Attitude Estimation and Stability Measurement of Articulated Heavy Vehicles

Zhu

Xiao

et al. 2018

Sensors

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Articulated wheel loaders used in the construction industry are heavy vehicles and have poor stability and a high rate of accidents because of the unpredictable changes of their body posture, mass and centroid position in complex operation environments. This paper presents a novel distributed multi-sensor system for real-time attitude estimation and stability measurement of articulated wheel loaders to improve their safety and stability. Four attitude and heading reference systems (AHRS) are constructed using micro-electro-mechanical system (MEMS) sensors, and installed on the front body, rear body, rear axis and boom of an articulated wheel loader to detect its attitude. A complementary filtering algorithm is deployed for sensor data fusion in the system so that steady state margin angle (SSMA) can be measured in real time and used as the judge index of rollover stability. Experiments are conducted on a prototype wheel loader, and results show that the proposed multi-sensor system is able to detect potential unstable states of an articulated wheel loader in real-time and with high accuracy.

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“…A scaled wheel loader was designed and manufactured to validate the lateral stability indexes under two conditions, namely, turning on slopes and passing over obstacles. Ya Wu et al [3] took wheel loaders as the research object to examine the rollover instability mechanism and stability indexes of articulated steering vehicles. J. Liu et al [4] conducted tests on three radio-controlled tractors to analyze the rollover stability indexes of off-road vehicles.…”

Section: Introductionmentioning

confidence: 99%

“…The lateral acceleration and roll angular velocity jointly affect the rollover stability and are collected by the VG440 gyroscope installed in the engineering vehicles. When the engineering vehicle goes straight through the obstacle, its rollover stability can be measured mainly by the roll angular velocity; when the engineering vehicle turns on a horizontal road, the lateral acceleration has a great effect on the stability [3]. Active steering and active braking control are able to control these parameters, and then vehicle stability is controlled [3].…”

mentioning

confidence: 99%

“…When the engineering vehicle goes straight through the obstacle, its rollover stability can be measured mainly by the roll angular velocity; when the engineering vehicle turns on a horizontal road, the lateral acceleration has a great effect on the stability [3]. Active steering and active braking control are able to control these parameters, and then vehicle stability is controlled [3]. Has_Cause refers to the relationship between the Parameters class and AlarmLevel class.…”

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confidence: 99%

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Developing an Ontology-Based Rollover Monitoring and Decision Support System for Engineering Vehicles

Liu

Zhou

2018

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The increasing number of rollover accidents of engineering vehicles has attracted close attention; however, most researchers focus on the analysis and monitoring of rollover stability indexes and seldom the assessment and decision support for the rollover risk of engineering vehicles. In this context, an ontology-based rollover monitoring and decision support system for engineering vehicles is proposed. The ontology model is built for representing monitored rollover stability data with semantic properties and for constructing semantic relevance among the various concepts involved in the rollover domain. On the basis of this, ontology querying and reasoning methods based on the Simple Protocol and RDF Query Language (SPARQL) and Semantic Web Rule Language (SWRL) rules are utilized to realize the rollover risk assessment and to obtain suggested measures. PC and mobile applications (APPs) have also been developed to implement the above methods. In addition, five sets of rollover stability data for an articulated off-road engineering vehicle under different working conditions were analyzed to verify the accuracy and effectiveness of the proposed system.

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Study on Roll Instability Mechanism and Stability Index of Articulated Steering Vehicles

Cited by 15 publications

References 11 publications

Control Methods for Roll Instability of Articulated Steering Vehicles

Control Methods for Roll Instability of Articulated Steering Vehicles

Multi-Sensor Based Online Attitude Estimation and Stability Measurement of Articulated Heavy Vehicles

Developing an Ontology-Based Rollover Monitoring and Decision Support System for Engineering Vehicles

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