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Register a new userImproving control in VAV systems using fuzzy logic controller to saving electrical energy
استخدام المتحكم العائم لتحسين التحكم بأنظمة التكييف متغير الحجم بهدف توفير الاستهلاك الكهربائي
2002
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شكلت الطاقة الكهربائية عنصراً هاما في تطور البشرية، لكن ترافق استهلاكها مع تهديدات للبيئة بسبب الاعتماد على الوقود الأحفوري كمصدر أساسي لها. و في حين مايزال استخدام الطاقات المتجددة محدوداً و ذو تكلفة تأسيسية عالية، يجري التوجه بشكل واضح إلى الترشيد في استهلاك الطاقة الكهربائية بمراقبتها و التحكم بتجهيزاتها بحيث تحقق المطلوب بأقل استهلاك ممكن. من المعلوم أن الاستهلاك الأكبر للطاقة في الأبنية يجري في قطاع التكييف، و بالتالي فإن أي توفير في الاستهلاك الكهربائي في هذا القطاع سيؤدي إلى التوفير في الاستهلاك الكهربائي الإجمالي للبناء وذلك يتم من خلال منظومة التحكم به. أنظمة التحكم الكهربائي في تطور مستمر و يجب استغلالها و المساهمة في تطويرها لتحقيق وفراً في استهلاك الطاقة الكهربائية. تم في هذا البحث إجراء دراسة التحكم في نظام تكييف ذو حجم هواء متغير مع تصميم متحكم عائم لقيادة مروحة التزويد المركزية بحيث يتم تخفيض استهلاكها مع المحافظة على دورها، و قد تم ذلك من خلال تصميم نموذج فيزيائي مصغر لمروحة نظام التكييف مع الأدوات و البرمجيات المصممة لتبيان وفر الطاقة الكهربائية الذي نحصل عليه باستخدام المتحكم العائم المصمم.
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.
References used
KOLOKOTSAA, D; STAVRAKAKISB, G.S; KALAITZAKISB, K; AGORISC, D. Genetic algorithms optimized fuzzy controller for the indoor environmental management in buildings implemented using PLC and local operating network. Engineering Applications of Artificial Intelligence Greece. Vol. 15, 2002, 417–428
PARAMESHWARAN, R; KARUNAKARAN, R; VINU RAJA KUMAR, C; INIYAN, S. Energy conservative building air conditioning system controlled and optimized using fuzzy-genetic algorithm. Energy and Buildings India. Vol. 42, 2010, 745– 762
BEHROOZ, F; RAMLI, A; SAMSUDIN, K. A survey on applying different control methods approach in building automation systems to obtain more energy efficiency. International Journal of the Physical Sciences Malaysia. Vol. 6(9), 2011, 2308- 2314
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reliance on new and renewable sources of energy has grown in order to obtain
electric power without the use of traditional fossil fuel sources. And thus solve
the problems of the global energy crisis and also maintain a clean environment,
through
the fight against the dangers of global warming and its negative results
Wind power is considered as one of the most important of these alternative
energies.
We will work in this research in order to be able to control wind turbine with
variable speed through pitch angle control in order to organize power and
control the rotational speed in order to make the power ideal.
Where we will be using a fuzzy controller to control pitch angle instead of the
traditional controllers, which is expected to improve system response and
provide ease in the application and modification and reduction in the cost.
By reference study we came to the result showing that most previous studies in
advanced wind energy systems have addressed to control wind turbine using
conventional controllers from PI or PID type. Show we have the problem of the
need to know the exact mathematical model of the system. Where traditional
controllers of wind turbines that operate at variable speed are based on
mathematical models which may be complex and non-linear and neglect often
physical phenomena, for example, magnetic saturation which leads to
complexity in the calculation and unexpected performance of the driven system.
The proposed research aims to provide a complete study through modeling and
simulation using the Matlab about the use of fuzzy controller to control the
wind turbine where traditional controllers of type PI will be designed to control
the pitch angle and to control the rotational speed and fuzzy PI controllers to
control the pitch angle. Results will be get and discussed and conclusion will be
extracted from them.
Research Results showed that the fuzzy control improves transient state
behavior, but the steady-state behavior is better controlled when we use PI
controller. So and based on the result we got, the PI controller can't be replaced
actually with the fuzzy controller.
The building sector is considered one of the leading sectors in energy-consumption.
In addition to lighting, heating and cooling systems have become important consumers in all buildings (both residential, administrative, and service both private and
public) ensuring
a comfortable environment for staff and workers and improving productivity at the lowest possible cost. This research aims to study the control quantities of fresh and exhausted air in large halls and auditoriums, where the occupancy level changes. This is done by adjusting the amount of fresh and exhausted air according to the occupancy via CO2 sensors, which measure the ratio of CO2 in the targeted places, controlling the volume of fresh and exhausted air according to the number of available people. A case study was done to use control systems; final results and conclusions have been illustrated.
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.
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.
Unified Power Flow Controller (UPFC) is one of the most effective Flexible AC
Transmission Systems (FACTS) devices for controlling power flow and improving stability
of power system. To achieve the functionality of UPFC, a proper and sufficient con
trol
system should be designed for this device. Our research proposes a Fuzzy Logic control
approach to control UPFC. The proposed control scheme is used to control and coordinate
voltage and phase angle signals of Voltage Source Converters (VSCs) of UPFC, where
these two signals are used to control active and reactive power flow in transmission line.
To validate the proposed control scheme, a single-machine double line infinite bus power
system equipped with UPFC is modeled using PSCAD/EMTDC software package. Three
phase fault with ground case is simulated and investigated under the proposed controller.
The modeling and simulation results show the effectiveness of the UPFC under the
proposed control scheme for improving power system stability under the three phase fault
case. The results also show the robustness and superiority of the proposed controller
compared to conventional PI controller as well as it guarantees the closed-loop stability
system and has a good tracking behavior.
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