Brett Janson and Delia Marchosky
Advisor: Dr. I. S. Ahn
Fuzzy logic is an algorithm which attempts to give a control system
a "human" manner of control. Traditional control methods may be fast and
accurate at controlling a wide range of systems but often lack abilities
to cope with changing environments. Fuzzy logic based control systems are
an alternative to conventional control methods like PID or LQG controls.
The major advantage of the fuzzy logic is in the ability to handle instability
and/or non-linearity in dynamics. In the project, a fuzzy logic controller
is implemented using the MC68HZ11 micro-controller. With the help of the
software package FIDE, a fuzzy logic algorithm is generated and translated
to machine readable codes for the micro-controller. The control signal
is generated by the micro- controller and amplified before it is applied
to maintain the pendulum upright and the cart centered.
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