Print ISSN: 1811-9212

Online ISSN: 2617-3352

Keywords : Robust control


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.

H-infinity Based Active Queue Management Design for Congestion Control in Computer Networks†

Mr. Karam Samir Khalid; Assist. Prof. Dr. Hazem I. Ali

IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING, 2014, Volume 14, Issue 3, Pages 1-9

Abstract – In this paper the design of robust Active Queue Management (AQM) for
congestion control in computer networks is presented. The Ant Colony Optimization
(ACO) method is used to tune the parameters of PID controller subject to H-infinity
constraints. The nonlinear dynamic model for multiple TCP flows control is developed
based on fluid-flow theory. The designed controller provides good tracking performance
in the presence of wide range of system parameter uncertainty. NS2 package is used to
perform the nonlinear simulation of the system.

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.