Design of Low-Cost Modular Bioinspired Electric-Pneumatic Actuator (EPA) Driven Legged Robots
Alessandro Brugnera Silva,
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Marc Murcia,
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Omid Mohseni
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et al.
Published: Feb. 2, 2024
Exploring
the
fundamental
mechanisms
of
locomotion
extends
beyond
mere
simulation
and
modeling.
It
necessitates
utilization
physical
test
benches
to
validate
hypotheses
regarding
real-world
applications
locomotion.
This
study
introduces
cost-effective
modular
robotic
platforms
designed
specifically
for
investigating
intricacies
control
strategies.
Expanding
upon
our
prior
research
in
Electric-Pneumatic
Actuation
(EPA),
we
present
mechanical
electrical
designs
latest
developments
EPA
robot
series.
These
include
Jumper,
a
human-sized
segmented
monopod
robot,
its
extension
Walker,
bipedal
robot.
Both
replicate
human
weight
inertia
distributions,
featuring
co-actuation
through
motors
pneumatic
artificial
muscles.
low-cost
platforms,
with
considerations
degrees
freedom
redundant
actuation,
1)
provide
opportunities
different
locomotor
subfunctions—
stance,
swing,
balance;
2)
help
investigate
role
actuation
schemes
tasks
such
as
hopping
walking;
3)
allow
testing
biological
locomotors
benches.
Language: Английский
Adaptive Disturbance Rejection Motion Control of Direct-Drive Systems with Adjustable Damping Ratio Based on Zeta-Backstepping
Biomimetics,
Journal Year:
2024,
Volume and Issue:
9(12), P. 780 - 780
Published: Dec. 21, 2024
Direct-drive
servo
systems
are
extensively
applied
in
biomimetic
robotics
and
other
bionic
applications,
but
their
performance
is
susceptible
to
uncertainties
disturbances.
This
paper
proposes
an
adaptive
disturbance
rejection
Zeta-backstepping
control
scheme
with
adjustable
damping
ratios
enhance
system
robustness
precision.
An
iron-core
permanent
magnet
linear
synchronous
motor
(PMLSM)
was
employed
as
the
experimental
platform
for
development
of
a
dynamic
model
that
incorporates
compensation
friction
cogging
forces.
To
address
parameter
uncertainties,
indirect
adaptation
strategy
based
on
recursive
least
squares
algorithm
introduced.
It
updates
parameters
state
instead
output
error,
ensuring
robust
convergence.
integral
sliding
mode
observer
(ISMO)
constructed
estimate
compensate
residual
achieving
finite-time
estimation.
The
proposed
controller
enables
through
parameterized
laws,
offering
flexibility
desired
performance.
System
stability
bounded
tracking
were
validated
via
second-order
Lyapunov
function
analysis.
Experimental
results
real
PMLSM
demonstrated
that,
while
ratio
characteristics,
there
significant
improvement
accuracy
suppression.
underscores
scheme’s
potential
advancing
precision
direct-drive
applications.
Language: Английский