Motorcycle Rider Inputs During Typical Maneuvers

Frank, Todd A.; Fowler, Graeme F.; Garman, Christina; Sharpe, Sarah

doi:10.4271/2020-01-1000

Cited by 2 publications

(3 citation statements)

References 2 publications

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“…Finally, most papers conclude that a human rider controls a motorbike by applying a steering torque rather than a steering angle. More recently, [9] uses an instrumented motorbike to record and analyse the rider control inputs during typical manoeuvres.…”

Section: State Of Artmentioning

confidence: 99%

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Rider model identification: neural networks and quasi‐LPV models

Loiseau

Boultifat

Chevrel

et al. 2020

IET intell. transp. syst

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The current development of Advanced Rider Assistance Systems (ARAS) would interestingly benefit from precise human rider modelling. Unfortunately, important questions related to motorbike rider modelling remain unanswered. The goal of the present paper is to propose an original cybernetic rider model suitable for ARAS oriented applications. The identification process is based on experimental data recorded in real driving conditions with an instrumented motorbike. Starting with a dynamic neural network, the proposed methodology firstly presents a non-linear rider model. The analysis of this model and some analogies with car driver modelling allow to deduce a quasi Linear Parameter Varying (quasi-LPV) rider model with explicit speed dependence and a clear distinction between linear and non-linear dynamics. This quasi-LPV model is further analysed and simplified and finally leads to a rider model with a reduced number of parameters and nice prediction capabilities. Such model opens up interesting perspectives for the improvement of rider assistances.

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Section: State Of Artmentioning

confidence: 99%

“…More recently, Frank et al . [9] used an instrumented motorbike to record and analyse the rider control inputs during typical manoeuvres.…”

Section: Rider Modellingmentioning

confidence: 99%

Rider model identification: neural networks and quasi‐LPV models

Loiseau

Boultifat

Chevrel

et al. 2020

IET intell. transp. syst

View full text Add to dashboard Cite

show abstract

“…These studies even propose methods for optimizing vehicles (Pradeepak et al, 2015). Frank et al (2020) used drivers with different riding experience M.-Y. Chang et al: Design of a steering mechanism for the three-wheel tilting motorcycle to evaluate the results of different road tests and explored the influence of different driving habits and physical conditions on the dynamics of vehicles.…”

Section: Introductionmentioning

confidence: 99%

Design of a steering mechanism for the three-wheel tilting motorcycle

2022

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Abstract. There is a trend to develop three-wheel motorcycles because of their better stability and superior cornering ability compared to 1F1R (one front wheel and one rear wheel) motorcycles. The main purpose of this study is to establish a design process for the 2F1R (two front wheels and one rear wheel) three-wheel tilting mechanism and to reduce the turning radius to fulfill steering geometry in order to reduce the steering torque for a better handling feel. This research is divided into two parts: first, an existing steering tilting mechanism is selected as a design reference, and creative design methods are applied to set design constraints and requirements to facilitate a new mechanism design. A steering tilting mechanism is developed based on the design parameters of the steering mechanism and design objectives. Then Simpack software is employed to simulate handling tests on various routes and to verify the design model. The steering torque of the new mechanism is found to be much higher than that of the design reference. Therefore, the next step is to apply the Taguchi method to optimize the steering mechanism and to ensure that the parameter combination that satisfies the design objectives for the steering mechanism is selected. Finally, the route evaluation indexes are obtained from handling test simulations. From the results of the steering characteristics of the reference and research vehicle, the steering torque is found to be directly related to the response capability. Furthermore, the steering torque of the research vehicle is reduced by the optimization analysis using the Taguchi method, and the route evaluation indexes indicate that the vehicle's handling characteristics were improved.

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Motorcycle Rider Inputs During Typical Maneuvers

Cited by 2 publications

References 2 publications

Rider model identification: neural networks and quasi‐LPV models

Rider model identification: neural networks and quasi‐LPV models

Design of a steering mechanism for the three-wheel tilting motorcycle

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