KEYWORDS: Fuzzy logic, Control systems, Switching, Signal processing, Feedback signals, Temperature metrology, Neodymium, MATLAB, Complex systems, Computing systems
In This paper the previous Li-Ion battery charger techniques are reviewed and compared and the new fuzzy logic
battery charging method which is proposed to optimize and improve the battery charger efficiently. According to results
of comparison, using the fuzzy control charging system can shorten the charging time with higher efficiency and lower
temperature rise. Additionally, we have used optimal Li-ion battery charging frequency by using AC impedance
technique which means if the battery is charged by the optimal charging frequency fZmin, that obtain from Bode Plot of
the Li-ion battery, the charging time and charging efficiency will improve. Thus using the switching frequency (fZmin)
of the battery charger and the fuzzy logic control on the same system can optimize the performance on the charging
process. According to the experimental results, the proposed charger can charge the Li-ion batteries with higher
efficiency 97.16%, lower temperature rise1.513degree celosias, fast charging period around 50.43 minute and long life
cycle. The results in this paper are presented by using MATLAB and dsPIC30F2020 is used as controller applying
designed fuzzy logic inside.
Fuzzy logic controller is a controller for designing the challenging nonlinear control systems by If-Then laws that is
like human intelligence and it increase the accuracy of the control action .This paper present a success control function
using a Fuzzy System approach which is to control the Ball-Beam balance system, throughout modeling, simulation, and
implementation. First we applied fuzzy logic for system which means for the outer loop a fuzzy logic controller is
designed and for the inner loop of a ball and beam system a PD controller is implemented. We design a traditional PID
controller and pole placement controller for the beam position in order to compare the performance of these three types
of controllers; thus FLC found to give better transient and steady state results and there is less overshoot in compare with
classical PID and pole placement controller. Simulation results are presented to show the better performance of the ball
and beam using these controllers.
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