Optimization of motorcycle pitch with non linear control

Gowda, Dankan; Kishore, D.; Shankar, Shiva; Ramachandra, A C; Pandurangappa, C

doi:10.1109/rteict.2016.7808114

Cited by 12 publications

(3 citation statements)

References 4 publications

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“…From the equation of slip it is clearly understood that whenever vehicle linear velocity is in synchronous with wheel angular velocity slip will be zero, this indicates that there is no chance for vehicle undergo skidding. But whenever the synchronization mismatches that the moment brake force applied wheel angular velocity suddenly comes down to zero this causes the slip value one, results vehicle undergo skidding [17][18]. In order to maintain the synchronization between wheel angular speed and vehicle linear velocity, a desired value of slip is chosen that λ=0.2 which expands the bond between the tire and street surface and lessens the halting separation of the vehicle [19].…”

Section: Modeling Of Hydraulic Antilock Braking Systemmentioning

confidence: 99%

Automotive braking system simulations V diagram approach

Gowda¹,

Ramachandra²,

Thippeswamy³

et al. 2018

IJET

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This Paper focus, on the different stages associated with the advancement of Automobile Braking Control system. Different V-Models (SIL, MIL, HIL, and DIL) are contrasted with the proposed V model for Hydraulic antilock braking system. The main objective of this research is to enable various loop simulations used in a variety of automotive industries, in order to analyze the performance of different safety functions. A vehicle model is used to represent a real vehicle in a model-based environment. Vehicle model is a sophisticated component, which makes use of two wheeler dynamics concepts to achieve a real vehicle behavior. In this research, an attempt is made to elaborate the various automotive simulations used starting from model in loop simulation to Driver in loop Simulation approaches followed by a V-diagram approach to develop the product. Here an ABS controller is taken as an example model for simulation.

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Section: Modeling Of Hydraulic Antilock Braking Systemmentioning

confidence: 99%

Automotive braking system simulations V diagram approach

Gowda¹,

Ramachandra²,

Thippeswamy³

et al. 2018

IJET

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“…Theorem 3. For given scalars and 2 , system (25) is asymptotically stable via the robust observer-based ∞ controller (21), if there exist positive definite matrices and 2 and matrices , , and 1 , linear variables 1 , 3 , and 4 , and a positive scalar , which guarantees the ∞ performance, such that the following LMIs are verified:…”

Section: Analysis and Synthesis Of The Robust ∞ Observer-based Contromentioning

confidence: 99%

“…The first work to stabilize a motorcycle has been developed in [1], by considering a simple linear model to describe the motorcycle behavior. The control of motorcycles has been investigated in [2,3] and the problem of observation and estimation of unmeasurable state variables have been studied in [4][5][6][7]. Overall, motorcycle safety system design is still an open problem and few results exist in the literature.…”

Section: Introductionmentioning

confidence: 99%

Robust Observer-Based H∞ Controller Design for Motorcycle Lateral Dynamics

Ferjani

Zaidi

Chaabane

2018

Mathematical Problems in Engineering

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The present work deals with the design problem of a robust observer-based controller for a motorcycle system using LPV approach. The designed model is specifically uncertain and disturbed one, whose uncertainties are related to variations of both the cornering stiffness and the longitudinal velocity. The nonlinear motorcycle model is firstly transformed on an uncertain LPV model with two vertices; then an observer-based H∞ robust controller is designed. Both the controller and observer gain matrices are computed by solving a unified convex optimization problem under LMI constraints using YALMIP solver. Numerical simulation results are given to illustrate the effectiveness of the designed method.

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