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.
The re-use of return air in central conditioning systems is one of the most important
procedures for saving power consumption. However, the requested fresh air of the people
existed within the conditioning space imposes determining the number of ti
mes to be used.
This research aims to link the work of the central conditioning system (heating) of a
facility with the number of people existing within this facility by modifying the ratio of
mixed fresh air and return air to save the electrical power consumption. Also, to raise the
temperature of the mixture air by controlling the flow of hot water continuously rather than
using on-off technique. As well as, to respond to any change in the number of people and
get rid of repeated machine starting.
Our research has been done by using specialized physical model consisted of test
room, heat and movement sensors, pump, water tank, heat exchanger and air mixing
blades. These devices are controlled by microcontroller type PIC16F877A.
The experimentally obtained results showed the ability of controlling the amount of
return air depending on the number of people and controlling the speed of the pump
continuously providing a saving of electrical energy consumption up to 68% compared
with the case of full speed.
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.
The focal point of this thesis is design of a control system to achieve the stability of the
aircraft, by using a three-axis accelerometer sensor and a three-axis gyro. This thesis
aims to studying the quadrotor UAV, and depend this research as a base for subsequent
research on the various applications of this type of aircraft.
