IEEE International Conference Mechatronics and Automation, 2005
DOI: 10.1109/icma.2005.1626546
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Simulation model for studying inherent stability characteristics of autonomous bicycle

Abstract: An autonomous bicycle system modeled with a passive rider is simulated in MATLAB-SIMULINK and the stabilizing phenomenon is studied using simulation experiments. The model uses a practical bicycle's data set, being used for the experiment. It has been verified, using variety of constraints on Lean & Steer that the inherent stability is better at high-speeds w.r.t. Steering oscillations, and at low speeds the high steering oscillations add to stabilize it. Also a range of velocities is found for which the bicyc… Show more

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Cited by 9 publications
(9 citation statements)
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References 5 publications
(7 reference statements)
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“…For example, the first three 1 X , 2 X and 3 X are specified by the right-hand side of (14), that is,…”
Section: Dynamics Of the Bicycle Robot With Front-wheel Drivementioning
confidence: 99%
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“…For example, the first three 1 X , 2 X and 3 X are specified by the right-hand side of (14), that is,…”
Section: Dynamics Of the Bicycle Robot With Front-wheel Drivementioning
confidence: 99%
“…Perform numerical integration of 5 ( ) q k to evaluate 5 ( 1) q k + , and then perform numerical integration of ( ) i q k ( 1,3,5) i = to find ( 1) i q k + . Step 6.…”
Section: Numerical Simulationmentioning
confidence: 99%
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“…Franke et al [3] derived non-linear equations of motion of a rigid-rider bicycle system by use of classic Newtonian mechanics. Recently, Sharma et al [4] [5] developed a generalized bicycle dynamic model with Lagrange-Euler Formulation. Y. Tanaka [6] derived dynamics of a bicycle robot from equilibrium of gravity and centrifugal force.…”
Section: Introductionmentioning
confidence: 99%
“…Franke et al [3] derived non-linear equations of motion of a rigid-rider bicycle system by use of classic Newtonian mechanics. Recently, Sharma et al [4] [5] deduced a generalized bicycle dynamic model with Lagrange-Euler Formulation. K.Astrom et al [6] analyzes various orders of approximate dynamics of bicycles from the perspective of control.…”
mentioning
confidence: 99%