In this paper, we will design a Fuzzy Smith Predictor (FSP),
then we will model, simulate and analyze it using colored Fuzzy Petri
networks, then we will compare it with a conventional proportional
integral controller.
The main objective of this
research is to reduce the delay time
of the wind turbine system and to increase its reliability, in the other
side, to improve the response and stability of the operating point of
the mechanical energy and reduce vibration caused by the delay time
in the system.
In the following study we make a simulation of an independent
photovoltaic system connected to an (ohm
- unit of electrical resistance) load which consists of the following
parts:
(Photovoltaic Module - Converter dc- dc - Control system to
track
ing the maximum power point via MATLAB & Simulink
program)
Taking advantage of equations of Photovoltaic Module we chart
the graph and simulate curves of the Module.
We also simulate the converter –type Cuk- which gives higher or
lower voltage than input voltage but with reversed polarity.
We also make a comparison between the two systems tracking:
the first tracker is a traditional one and the second one is a system
in which it uses a fuzzy logic tracker.
The results of the comparison shows different capacities taking into
consideration the varieties of weather conditions of regular solar
radiation as well as the partial shadow.
Such results showed that fuzzy logic has got more capability to
harmonize with all conditions especially in cases of low solar
radiation and partial shadow.
This works aims to study the performance of the mobile system via studying the
effects of adaptive modulation technique on the data rate. Fuzzy logic technique is used as
a tool to analyze the data rate of the downlink connection depending on type
of
modulation, coverage quality and the distant between the receiver and the transmitter. For
parameters were considered as input parameters for the fuzzy logic system mainly are:
power of the station, quality of coverage, the type of modulation technique and the signal
to interface noise ratio. One parameter is used as an output of the fuzzy system which is
spectrum efficiency in bit per second per hertz. Analytical study to select the optimal data
rates for different modulation techniques will be considered. Additionally, studying the
input and output memberships of the data rate parameters using fuzzy logic will be
explained. Keywords: Data rate, downlink, signal to noise ratio, modulation type, Fuzzy
logic, spectrum efficiency.
In this paper, a problem of ride comfort enhancement in a moving
vehicle was introduced and controlled by damping force to deduce
vibration caused by road profile. Sliding mode control was used to
give the damping force in two degree of freedom su
spension
system. A mechanic model of suspension system was given,
dampers and springs were used for passive damping to reduce
chattering and sliding mode control for semi-active control with
proposed method by using supervised fuzzy logic control for
chattering decreasing was designed.
A simulation with the given initial conditions was designed using
Matlab/Simulink. By computing of root mean square error we got
that the proposed method gave the best responses with the smallest
chattering compared with traditional mechanical damping and
sliding mode control. All results plotted using Matlab/Simulink.
The contribution of our research include building an artificial neural
network in MATLAB program environment and improvement of
maximum loading point algorithm, to compute the most critical
voltage stability margin, for on-line voltage stability a
ssessment,
and a method to approximate the most critical voltage stability
margin accurately. a method to create a (ARTIFICIAL NEURAL
NETWORK) approach.
Through our research we develop an Expert System called
Transformer Fault Detection and abbreviation Exformer, to help
engineers and technical's in detecting and diagnosis of oiled power
transformer faults before it going out of service. We also u
se Fuzzy
Logic in ambiguous data cases about gas ratios in transformer oil,
which require use of fuzzy rules in knowledge base of expert
system. We also discuss basis of using Artificial Neural Networks
and choose number of layers, number of neurons and suitable neural
network for power transformers faults analysis and compare.
This work aims to analyze the performance of the microwave radio link’s parameters
used to connect different systems and intra systems. Fuzzy logic technique is used to study
the difficulties of the radio link’s parameters based on type of modulati
on, and distance
between the receiver and transmitter. Four parameters are used as an input parameters for
the fuzzy logic system mainly: required power, the length of the microwave radio link,
modulation type and the signal to noise ratio(S/N). The output parameter is determined to
be the microwave link capacity.
Analytical study to select the optimal microwave radio link parameters to examine
the efficiency of the radio link capacity will be shown. Additionally, studying the input and
output memberships of the microwave radio link parameters using fuzzy logic will be
explained.
This research work presents fuzzy pitch controller design of wind turbine to get the maximum power in
addition to decrease the losses caused by acceleration and deceleration in turbine rotation. And thus
optimize power coefficient of turbine throug
h artificial intelligence and in particular fuzzy logic, because
the fuzzy controller doesn’t need a complex mathematical pattern of the controlled system.
A fuzzy controller is designed and compared with conventional controller for the same purpose in a wind
turbine system described by its transfer function and membership function has been chosen for error and
accumulation errors signals by using MATLAB. Results have been compared and showed better response
by using the fuzzy controller.
Fuzzy logic control is used to connect a photovoltaic system to the electrical grid by using three phase fully
controlled converter (inverter), This controller is going to track the maximum power point and inject the
maximum available power from th
e PV system to the grid by determining the trigger angle that must be
applied on the switches: Linguistic variables are going to be chosen to determine the amount of change in
the trigger angle of the inverter to track the maximum power.
Improving system performance in terms of data rate, latency, mobility and cost is the scope of Long Term Evolution (LTE) system. All IP architecture with distributed mobility management that have been implemented in LTE and the handover (HO) decision
is performed by the evolved base station (eNB). The ping-pong movement in LTE is one of the most crucial problems which reduce the performance of the HO. In this paper, the impact of ping-pong handover on inter eNB handover in LTE networks is investigated. The object of the present work is to provide a method for reducing the number of ping-pong HOs in intra E-UTRA networks. A novel HO algorithm, based on keeping the old path between the source eNB and SGW/MME during the ping-pong movement and delaying the completion HO part,
is presented. The ping-pong avoidance algorithm for intra E-UTRA can be a tool to reduce the number of ping-pong HOs and control the demands of the network resources. Analysis results -based on fuzzy logic technique- of the proposed algorithm showed that the
probability of ping-pong HO can be reduced efficiently as the difference between the received signal strength from the target and the source (SS(target-source)) and the timer value are higher than 3dB and 1.5 sec respectively.
