TY  - JOUR
T1  - New Tuning Approach of Fuzzy Logic System using Proportional Integral Observer for
Tracking a Nonlinear System
AU - Jibril, Mustefa 
JO  - International Journal of Soft Computing
VL  - 16
IS  - 6
SP  - 127
EP  - 133
PY  - 2021
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2021.127.133
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2021.127.133
KW  - Proportional integral observer
KW  -fuzzy proportional integral observer
KW  -active suspension system
AB  - Proportional Integral Observer (PIO) for
tracking a nonlinear method has a lower sentiency to
cipher the state and output variables. So, a more nonlinear
controller has to be else to control to activity. In this
study, a fuzzy logic (FLC) controller has been added to
the PIO to meliorate the calculation transmute. A Fuzzy
Proportional Integral Observer (FPIO) for following a
nonlinear system has been premeditated to decimate the
susceptibleness to cipher the tell and turnout variables
with the existent posit and product variables. The FPIO
controller has been tested for improving the estimation
control using a nonlinear quarter vehicle active
suspension system with a nonlinear hydraulic actuator. A
comparison simulation of the proposed nonlinear system
for estimating the state variables and tracking the output
(suspension deflection) with a set point bump road
disturbance using FPIO and PIO. The comparison
simulation result shows that the estimated state variables
and system output match the actual ones perfectly using
a fuzzy PIO controller.
ER  -