يقوم هذا المشروع على تطبيق طرق التحكم المتقدم التي تمت دراستها في تخصص هندسة الميكاترونكس وأهمها (state feedback via pole placement) على نظام ميكاترونكس متكامل ذو ثلاث درجات حرية, يتكون من عربة معلق بها بندول, تتحرك هذه العربة على ذراع متأرجح, وثلاثة
مجسات لقياس موقع العربة وزاوية تأرجح الذراع وزاوية تأرجح البندول, و (Servo motor) يقوم بأرجحة الذراع لضبط حركة العربة
Software Defined Networks (SDN) is the qualitative movement in the field of networks due to that fact that it separates the control elements from the routing elements, and the function of the routing elements was limited to the implementation of the
decisions that are sent to it by the controller through the OpenFlow Protocol (OF) which is mainly used in SDN. We explain in this paper the benefit of the new concept which is presented by SDN and it makes network management easier, so instead of writing the rules on each device, we program the application in the controller, and the infrastructure devices run the received commands from the controller. In order to achieve the best performance of this technology, a Quality of Service (QoS) must be applied within it, where it includes several criteria, the most important are the used bandwidth, delay, packet loss and jitter. The most important of these criteria is the bandwidth, because by improving this standard, we can improve the rest of the other criteria. Therefore, in this paper, we provide the necessary improvement on the RYUcontroller to use the best bandwidth, which improves the quality of service in SDN.
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.
This work presents the details of the construction of the temperature
control system in the center. We used the Atmega8 microcontroller
which has high performance speed and suitable memory.
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
An ANFIS controller also designed and a comparison
between proposed controller, ANFIS controller and open loop model
had made with different types of disturbance.
