Print ISSN: 1811-9212

Online ISSN: 2617-3352

Keywords : PSO


Optimal Multi-objective Robust Controller Design for Magnetic Levitation System

Assist. Prof. Dr. Hazem I. Ali; Mr. Mustafa I. Abd

IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING, 2015, Volume 15, Issue 1, Pages 18-34

Abstract- In this work, the design of three types of robust controllers is presented to control the magnetic levitation system. These controllers are: basic H∞ controller, robust Genetic Algorithm (GA) based PID (GAPID) controller and robust Particle Swarm Optimization (PSO) based PID (PSOPID) controller. In the second and third controllers, the GA and PSO methods are used to tune the parameters of PID controller subject to multi-objective cost function (H∞ constraints and time domain specifications). The use of GA and PSO methods is used to simplify the design procedure and to overcome the difficulty of the resulting high order controller of the basic H∞ controller. The ability of the proposed controllers in compensating the system with a wide range of system parameters change is demonstrated by simulation using MATLAB 7.14.

Design of PSO Based Robust Blood Glucose Control in Diabetic Patients

Assist. Prof. Dr. Hazem I. Ali

IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING, 2014, Volume 14, Issue 1, Pages 1-9

Abstract – In this paper, the design of robust blood glucose controller in diabetes using H-infinity technique is presented. The Particle Swarm Optimization (PSO) method is used to tune the specific structure controller parameters subject to H-infinity constraints. The Bergman model is used to represent the artificial pancreas. This model is one of the more widely used models of the effect of insulin infusion and glucose inputs on the blood glucose concentration. The results show the effectiveness of the designed controller in controlling the behavior of glucose deviation to a sudden rise in the blood glucose. The proposed controller can effectively attenuate the blood glucose deviation to 0.15. This value of attenuation makes the proposed controller superior to the other controllers in previous works. Matlab 7.11 is used to demonstrate the simulation results.

Robust Deadbeat Controller Design using PSO for Positioning a Permanent Magnet Stepper Motors

Dr. Hazem I. Ali

IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING, 2012, Volume 12, Issue 1, Pages 32-41

This paper presents an application of a robust deadbeat controller for permanent magnet
stepper motor. This approach has been considered in order to assure robust stability and
performance (disturbance rejection, reference tracking) with the presence of system
parameters uncertainty. The Particle Swarm Optimization (PSO) is used to tune the
controller parameters by minimizing the cost function subject to H-infinity constraints.
It is shown that the designed deadbeat controller presents simple, low order, and robust
position control for a permanent magnet stepper motor. A two-phase motor is
considered in this paper.