Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : Fuzzy Logic

Comparison Between Adaptive Fuzzy and PID Fuzzy Automotive Engine Controllers in Idle Speed Mode

Mohammed Y. Hassan; Saba T. Al -Wais

Engineering and Technology Journal, 2010, Volume 28, Issue 23, Pages 6785-6800

Automatic control of automotive engines provides benefits in the engines
performance like emission reduction, fuel economy and drivability. To ensure better
achievement of these requirements the engine is equipped with an electronic control
unit (ECU) that is a microprocessor based system. This control unit continually
monitors the engine state using several sensors and selects better control actions to
achieve what is demanded from an engine under different defined operating modes.
One of the most important modes in automotive engines is the idle speed mode. Due
to high dropping in the rotational speed in the presence of load torque and disturbance,
which may lead to engine stalling, the ECU has to keep the engine speed at the
reference idling speed.
In this paper, The problem of maintaining the engine idle speed at a reference
value with minimum overshoot, minimum undershoot, minimum settling time and
minimum steady state error with the presence of load is studied. A Self Tuning
adaptive Fuzzy Logic Controller (ST-FLC) is designed to solve this problem.
Comparisons between fuzzy controller and adaptive fuzzy controller are made.
Simulation results of this adaptive fuzzy controller show good improvement over the
PID fuzzy controller in the idle speed response.
All simulations are carried out using MATLAB software. Simulink is used in
the simulation, which comprises system model, controllers design and

Effect of Dual Reinforcement on Wear Resistance by Aluminum Compacts Reinforce by SiC, Al2O3

Mohammed Moanes Ezzaldean Ali; Hanan A. R. Akkar; A. K. M. AL-Shaikhli; Ali K. Shayyish; Muhsin J. Jweeg; Wisam Auday Hussain; Mohammed T. Hussein; Mohammad A. Al-Neami; Farah S. Al-Jabary; Jafar M. Hassan; Ali H. Tarrad; Mohammed N. Abdullah; Ahmed T. Mahdi; Eyad K. Sayhood; Husain M. Husain; Nidaa F. Hassan; Rehab F. Hassan; Akbas E. Ali; Assim H Yousif; Kassim K Abbas; Aqeel M Jary; Shakir A. Salih; Ali T. Jasim; Ammar A. Ali; Hosham Salim; JafarM. Daif; Ali H. Al Aboodi; Ammar S. Dawood; Sarmad A. Abbas; Salah Mahdi Saleh; Roshen T. Ahmed; Aseel B. Al-Zubaidi; Mohammed Y. Hassan; Majid A. Oleiwi; Shaimaa Mahmood Mahdy; Husain M. Husain; Mohammed J. Hamood; Shaima; a Tariq Sakin

Engineering and Technology Journal, 2009, Volume 27, Issue 13, Pages 423-429

The producing composite materials of dual reinforcement in which the matrix material is aluminum reinforced with two types of ceramic particles : which are Alumina (50μm


composite materials; wear test ; Al2O3; SiC: Al

Improvement of Output Displacement of Servo Pneumatic System using Fuzzy PI Controller

Mohammed Y. Hassan; Majid A. Oleiwi; Shaimaa Mahmood Mahdy

Engineering and Technology Journal, 2009, Volume 27, Issue 13, Pages 2496-2508

Pneumatic systems are widely used in industrial automation for their
advantages such as speed of motion, low cost of maintenance, safe operation and high power/ weight ratio, cleanliness, simplicity of operation as compared with other systems such as hydraulic and electro - mechanical technologies. In this work, a fuzzy PI controller is designed for improving the output displacement of the servo pneumatic system, in order to improve the position transient response. The aim of tuning is to reach minimum steady state error in the output displacement and also to compensate the effect of applying
different types of external load forces. The parameters of the controller are tuned using a trial and error method. A comparison between the results of using Fuzzy PI controller and the PID controller showed that the Fuzzy PI controller has improved the maximum error ratio in position up to 45 % by adding a fixed external load force and up to 19 % by adding variable external load force with high
compensation for the effects of any external load force.