This search includes studying of automated mobile cranes to reduce incidence of
inversing which often happens due to payload swaying that requires controlling system at
the crane's site to reach Target position and another controlling system to red
uce payload
swaying as possible while the crane is in motion.
Despite the development of controlling systems that adjust the operation and
functions of these cranes, the repetition of accidental tips in these cranes lead us to look for
hybrid fuzzy controlling system comparing it with PID controlling system. So, it will
improve the performance of these cranes through the reduction of payload swaying and
precise control of crane’s position.
The PID controller and Hybrid Fuzzy PID controller were simulated using Matlab
Software and the results were compared to reach the best controlling system for the crane.
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.
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.
