Application hybrid Fuzzy-PI controller Visual in four In-Wheel BLDC Motors Speed control
Application hybrid Fuzzy-PI controller Visual in four In-Wheel BLDC Motors Speed control 1dlXn
Air pollution brought on by conventional automobiles with internal combustion engines (ICE) has recently been linked to rising vehicle use. The new vehicle's study aims to change the engine for an electric motor; it is known as an electric vehicle (EV). This paper proposes an independent speed steering control technique for a four-wheel direct drive system employing a brushless DC motor (BLDC) when an electric vehicle (EV) travels on a straight or curved route. To determine the rotational speed of each wheel and prevent the wheel from slapping against the road surface when an electric vehicle (EV) is turning around a curve, a vehicle geometry model known as the Ackermann-Jeantand driving model is developed. For each motor in the model, the hybrid Fuzzy-PI controller serves as the speed controller in this architecture. Additionally, the outcomes are also compared with PI and fuzzy logic controllers. The results of two different modes have been illustrated on the GUI with a satisfied response, indicating that the control system was operating as intended. It is made clear that the EV may be operated both safely and on public roads.
Air pollution brought on by conventional automobiles with internal combustion engines (ICE) has recently
been linked
to rising
vehicle
use
. The new vehicle's study aims to
change
the engine for an
electric
motor; it
is known
as an
electric
vehicle
(EV). This paper proposes an independent speed steering control technique for a four-wheel direct drive system employing a brushless DC motor (
BLDC
) when an
electric
vehicle
(EV) travels on a straight or curved route. To determine the rotational speed of each wheel and
prevent
the wheel from slapping against the road surface when an
electric
vehicle
(EV) is turning around a curve, a
vehicle
geometry model known as the
Ackermann-Jeantand
driving model
is developed
. For each motor in the model, the hybrid Fuzzy-PI controller serves as the speed controller in this architecture.
Additionally
, the outcomes are
also
compared with PI and fuzzy logic controllers. The results of two
different
modes have
been illustrated
on the GUI with a satisfied response, indicating that the control system was operating as intended. It
is made
clear
that the EV may
be operated
both
safely
and on public roads.
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