Decoupling the decision-making process from the data forwarding process is the heart of
software-defined networks technology. One of the most important components of this
technology is the controller, which is the smartest component in the network.
Many of the
controllers have been developed since the technology originated, and many researches
have been done to compare the performance of these controllers for productivity, delay and
protection.
And due to the importance of selecting the appropriate controller according to different
parameters and network states, we studied the performance of four controllers: Floodlight,
Beacon, Nox, RYU in terms of productivity, RTT, time of establishing connection with an
OpenFlow switch and the time for adding an input to the switch flow table. The results
showed that the Beacon control was superior in performance when the number of switches
in the network was equal to the number of processor cores used by the controller. For RTT
and the time needed to add an input to the flow table, the NOX controller achieved less
time. Finally, the Floodlight controller was the best in terms of establishing connection
with the switch because it needed less time.
The fluctuation of voltage cannot be tolerant for equipment in modern industrial
plants such as lighting loads, PLC, robots, and another equipment, which exist in
transmission and distribution systems, so we should use proper aids to regulate volta
ge and
control it.
In this study a (± 25Mvar) Static Synchronous Compensator (STATCOM) is used to
enhance voltage stability in a (66 kv, 1500MV.A) power transmission network. The
STATCOM in this study regulates the voltage of the transmission network for changing in
voltage (± 7%) from the nominal value. A model of the power transmission system and
another model of the STATCOM device, which will enhance the stability of voltage are
designed in MATLAB/Simulink. And the control of (STATCOM) is achieved by using a
Proportional Integrative (PI) controller with Fuzzy Logic Supervisor to adjust the
parameters in PI controller in DC voltage regulator during transient states of load changing
which gives more stability in DC voltage. The results of the simulation are shown. This
study demonstrates the ability of STATCOM for regulating the voltage of the transmission
system by injecting and absorbing reactive power from the power system, and the DC
voltage be more stability by using Fuzzy Logic supervisor.
Gas turbines are used as main engines to convert fuel energy into
mechanical energy used to move the generator and thus produce
electrical power at the power plants. When you use a gas turbine in
the power plants, it must maintain a constant speed
of the turbine
and thus fixed frequency output of the current also must maintain
the parameters of the turbine such as pressures and temperatures at
the limits and thus extend the life of the turbine components and
increased efficiency. there was a need for the design of control
systems maintain a constant speed of the turbine and to avoid
operating at others and allowed values. In this research, we modeled
the gas turbine and solving the model using MATLAB/ SIMULINK
program, and then design a proportional integral differential
controller for gas turbine operating In Gandar Station
This paper presents the proposed Method for designing fuzzy
supervisory controller model for Proportional Integral Differential
controller (PID) by Fuzzy Reasoning Petri Net (FRPN),the Features
of Method shows the fuzzification value for each prop
erty of
membership function for each input of fuzzy supervisory controller,
and determine the total number of rules required in designing the
controller before enter the appropriate rules in the design phase of
the rules, and determine the value of the inputs of the rule that has
been activated, and assembly variables that have the same property
and show the value for each of them programmatically, and
determine the deffuzification value using deffuzification methods.
This paper presents a robust cerebellar model articulation
controller (CMAC) for quadcopter system.
We simulate this systems by using Matlab and Simulink, and we
find that this control guarantees good balance performance and
acceptable robust per
formance. And we compare our CMAC with
other systems using CMAC but in structures differ of our CMAC
structure.
In this research a proportional integral differential classic (PID
controller) and state feedback controller was designed to control the in
the inverted pendulum and a comparison between all the cases and
choose the most suitable controller using MATLAB / SIMULINK
program
In this paper, we presents a solution for those problems by using (CAN)
protocol in ATM networks due to many features such as the priority of
access and lose-free bus arbitration. We designed a new application layer
for using (CAN) in ATM network.
Then we compared this proposal
pattern with the current ATM network by using MATLAB.
As known the electric energy is one of the most important factor of development, but
using it causes bad environmental impacts due to depending on fuel as the source of
electrical generation. Using renewable energy is still limited and needs a huge
fixed costs,
so it is important to reduce electrical consumption by monitoring and controlling
equipment to achieve its function with lower consumption. HVAC sector is the most
consumption part in buildings, therefor any saving in this sector will affect manifestly on
the total electrical consumption in the building and this is done by control system. Control
systems are in continuous improving, so it is needed to exploit them in saving electrical
energy.
In this research, studying control of VAV system and designing fuzzy logic
controller to drive supply fan in order to reduce its electrical consumption, this is
performed through designing practical prototype of the supply fan with its tools and
software which are designed to view the electrical energy saving which we gain it by using
fuzzy logic controller.
This research deals with improving the efficiency of solar photovoltaic (PV) power
systems using a Fuzzy Logic Controller (FLC) for Maximum Power Point Tracking
(MPPT), to control the duty cycle of DC-DC Voltage Converter, to achieve the
photovolt
aic system works at a Maximum Power Point under different atmospheric
changes of the solar insolation and ambient temperature. In this context, this research
presents a new model for FLC developed in Matlab/Simulink environment. The proposed
model for the controller is based on the conventional Perturb and Observe (P&O)
technique. Where, in similar to the conventional P&O technique, the changes in the Power
and tension of photovoltaic power system, are considered as the input variables of the
proposed controller, while the output variable is the change in the duty cycle. The main
advantage of the developed controller FLC, based on the considering the change in the
duty cycle has a Variable Step Size, and directly related to the changes in the power and
tension of the Photovoltaic system. Which make it possible to overcome the problem of
fixed Step Size in the change of the duty cycle in the conventional MPPT- P&O Controller
based on P&O technique. The MPPT- P&O Fuzzy, works by a variable step size achieve a
fast speed response and high efficiency for tracking the MPP point under sudden and
rapidly varying atmospheric conditions, compared with the conventional MPPT- P&O. The
simulation results completed in Matlab/Simulink environment, showed the best
performance of developed MPPT- P&O Fuzzy controller in tracking the MPP by achieving
a better dynamic performance and high accuracy, compared with the use of the
conventional MPPT- P&O under different atmospheric changes.
This research deals with improving the efficiency of solar photovoltaic (PV) power
systems using a Maximum Power Point Tracker controller (MPPT controller), based in his
work on the Maximum Power Point Tracking techniques via the direct control met
hod.
Which used to control the duty cycle of DC-DC Voltage Converter, to achieve the
photovoltaic system works at a Maximum Power Point under different atmospheric
changes of the solar insolation and ambient temperature. In this context, our work is
focused on the simulation of the components of the power generating system, such as the
photovoltaic system, DC-DC Boost Converter and a MPPT controller in Matlab/Simulink
environment. The simulating of the MPPT controller was based on several algorithms such
as: Constant Voltage algorithm, Perturb and Observe algorithm and Incremental
Conductance algorithm by using Embedded MATLAB function. The simulation results
showed the effectiveness of the MPPT controller to increase the photovoltaic system power
compared with non-use of a MPPT controller. The results also showed the best
performance of MPPT controller based on Perturb and Observe and Incremental
Conductance algorithm, compared with constant voltage algorithm in tracking the
Maximum Power Point under atmospheric changes.
