NEW PRODUCTS
Four-Motor Controller
System
The new four-motor controller system from ServoCity allows you to proportionally control
the speed and direction of up to four motors with
a dual joystick controller. The four-channel speed
controller converts the PWM input from the dual
joystick into varying voltages which travel through
the CAT6 cable (sold separately) to the CAT6
motor circuit board where the motor wires can be
soldered in. This system will provide fine-control
for any of ServoCity's compatible gearmotors.
This is an open loop controller which means
that the further the joystick is deflected from the
center position, the faster the motors will run.
When the joysticks are released, the motors will
stop and hold their position until another input is
received. The four-motor controller
system is perfect for pan and tilts,
time-lapse rigs, camera sliders, or any
application which requires fluid bi-directional proportional control of a
DC motor.
Smooth Hub Pulleys
ServoCity is also offering a full line of smooth hub pulleys. These hub
pulleys are machined from 6061 T- 6
aluminum with a 1/2" center bore and
a 1/4" face width. The interior face of
the larger pulleys has been machined
down to 1/8" to save on unnecessary
weight, and allow the pulley to be mounted on either face
to change the offset. The hub pulleys are offered in 1", 2",
and 3" face diameter, and
contain the .770" ServoCity
hub pattern. ServoCity carries
a full line of .770 hubs for
servos and for various sizes of
shafting. The new pulleys will
work with both 1/4" and 1/8"
smooth belts. These pulleys
are also ideal for a variety of
applications, such as camera
sliders, time-lapse setups,
robotic applications, and
more.
ServoCity
Website: www.servocity.com
Book On Artificial
Neural Networks
Understanding Neural Networks is an introductory book written by
John Iovine about artificial neural
networks. The book begins with
examining biological neurons in the
human brain and defining their real
world mathematical and electronic
equivalent.
Building upon this foundation, the
text contains hardware and software
projects that illustrate neural
networks. Hardware projects include
an op-amp neuron that tracks a light
source, a speech recognition system,
and machine vision system.
SERVO 11.2012 21
