Modelling and simulation analysis of rolling motion of spherical robot
This paper presents the findings of modelling, control and analysis of the spherical rolling robot based on pendulum driven within the simulation environment. The spherical robot is modelled using Lagrange function based on the equation of rolling motion. PD-type Fuzzy logic controller (FLC) was...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IOP Publishing
2017
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/62883/1/62883%20Modelling%20and%20Simulation%20Analysis%20of%20Rolling%20Motion.pdf http://irep.iium.edu.my/62883/2/62883%20Modelling%20and%20Simulation%20Analysis%20of%20Rolling%20Motion%20SCOPUS.pdf http://irep.iium.edu.my/62883/ http://iopscience.iop.org/article/10.1088/1757-899X/260/1/012014/pdf |
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| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English English |
| Summary: | This paper presents the findings of modelling, control and analysis of the spherical
rolling robot based on pendulum driven within the simulation environment. The spherical robot
is modelled using Lagrange function based on the equation of rolling motion. PD-type Fuzzy
logic controller (FLC) was designed to control the position of the spherical robot where 25 rules
were constructed to control the rolling motion of spherical robot. It was then integrated with the
model developed in Simulink-Matlab environment. The output scaling factor (output gain) of
the FLC was heuristically tuned to improve the system performance. The simulation results show
that the FLC managed to eliminate the overshoot response and demonstrated better performance
with 29.67% increasing in settling time to reach 0.01% of steady state error. |
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