Keywords : Fuzzy logic


Fuzzy Model Reference Adaptive Controller for DC Motor

Wesam Mohammed Jasim

Anbar Journal of Engineering Sciences, 2017, Volume 8, Issue 1, Pages 107-112
DOI: 10.37649/aengs.2017.130744

In this work, a Fuzzy Model Reference Adaptive Controller FMRAC is presented for the speed control problem of a DC motor. The proposed controller is designed in two phases. In the first phase, the model reference input-output data is used to obtain the fuzzy rules. Then the effective rules are chosen to be used in the second phase. In the second phase, the obtained controller is applied in two conditions; the non fuzzy rules or adjusting the center of output membership functions. The simulation results shows a good speed motor tracking to the model reference in the word of the step response coefficients.

Developing of a Fuzzy Logic Controller for Air Conditioning System

Issam Mohammed Ali

Anbar Journal of Engineering Sciences, 2012, Volume 5, Issue 2, Pages 180-187
DOI: 10.37649/aengs.2012.67701

Reducing energy consumption and to ensure thermal comfort are two important considerations in designing an air conditioning system. The control strategy proposed is fuzzy logic controller (FLC).This paper describes the development of an algorithm for air condition control system based on fuzzy logic (FL) to provide the conditions necessary for comfort living inside a building.Simulation of the controlling air conditioning system, on which the strategy is adopted, was carried out based on MATLAB This system consists of two sensors for feedback control: one to monitor temperature and another one to monitor humidity. The controller i.e. FLC was developed to control the compressor motor speed and fan speed in order to maintain the room temperature at or close to the setpoint temperature.