Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : PID


An Investigation in to the Performances of Fuzzy PD Like and PID-PSO Controllers for Internal Combustion Engine

Talal A. Abdul Wahab; Sabah A. Nassif; Basma Abdullah Abbas

Engineering and Technology Journal, 2015, Volume 33, Issue 7, Pages 1619-1635

The Controller design is considered as the important part in the IC engines, to get a stable operation which is the main objective for engine generator set, through controlling the throttle angle to get constant engine rotation speed at different load conditions.The Model has been taken from previous research, considering the throttle angle as an input while the output is the rotation speed, then the controllers have been designed to adjust the rotational speed with the help atMatlab and Simulink techniques. Two main types of controllers have been used in this work which are; PID and Fuzzy PD like controllers. The Proportional-Integral-Derivative parameters have been tuned by particle swarm optimization technique and for the first controller and validated by Integral Square Error (ISE), Integral Time Absolute Error (ITAE) and Integral Absolute Error(AE). While, Fuzzy PD like consisted of seven membership function and forty nine rules. Finally, the results showed the superiority of PID based on Particle Swarm Optimization (PSO) compared with Fuzzy PD like controller.

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
implementation

Real Time Digital Speed Control System for DC Servo Motor Using LabVIEW 8.5 Package

Areej Alaa Hassen

Engineering and Technology Journal, 2010, Volume 28, Issue 6, Pages 1169-1185

This paper describes the design and implementation of a personal computer
based closed loop DC motor speed control system Using LabVIEW 8.5 Package
for data manipulation and interface control. Tuning the parameters of the PID
controller is done using trial and error method by conducting simulation on the
system model using Matlab package. This method is used to find the best system
response depending on the tuning parameters of the PID controller. These
parameters are then implemented in the designed real time digital PID controller
system based on LabVIEW package.
Carrying out the task of tuning the PID controller on the real time model requires
great effort and time consuming especially in the early stages. Thus the PID
controller tuning is firstly carried out on the simulation model in Matlab which is
time saving and gives close parameter approximation for applying in the real time
system directly. The PID control action in the real time system shows more
oscillation in comparison with the PID simulation control action. Simulation and
real time results for the speed control of the DC motor experiment were found to
have a high degree of agreement in maintaining the desired speed of the motor.