Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : Optimal Control

Optimal Robust Controller Design for Heartbeat System

Amjad J. Humaidi; Kadhim Yakoob Yousif; Wardie; Ruaa Muayad AL

Engineering and Technology Journal, 2016, Volume 34, Issue 8, Pages 1530-1537

In the present work, an optimal control approach is suggested to design a robust controller for the heart system. The work objective is to generate artificial or synthetic optimal Electrocardiogram (ECG) signals using the nonlinear optimal robust control. This includes the design of a state feedback controller to stabilize the ECG under uncertainty. The approach key is to reflect the uncertainty bound in the cost function, and the solution to the optimal control problem is a solution to the robust control problem.
The robust optimal control strategy is applied for nonlinear heart system; different structures of uncertainties have been sought. Unfortunately, for the present case study only unmatched structure of uncertainty has been found in both state and input matrices.

A Particle Swarm Optimization (PSO) Based Optimum of Tuning PID Controller for a Separately Excited DC Motor (SEDM)

Alia J. Mohammed

Engineering and Technology Journal, 2011, Volume 29, Issue 16, Pages 3331-3344

The PID algorithm is the most popular feedback controller used within the process industries. It is robust easily understood algorithm that can provide excellent control performance despite the varied dynamic characteristics of process plant. But the tuning of the PID controller parameters is not easy and does not give the optimal required response, especially with non-liner systems. In the last years emerged
several new intelligent optimization techniques like, Particle Swarm Optimization (PSO) techniques. This paper deals the non-liner mathematical model and simulation for speed control of separately excited D.C. motor with closed loop PID controller. The conventional PID tuning technique is represented as a point of comparison. The
intelligent optimization technique: PSO is proposed to tune the PID controller parameters. The obtained results of the closed loop PSO-PID Controller response shows the excellent response with comparing to the conventional PID, a good results gives in PSO-PID Controller. The simulation results presented in this paper show the effectiveness of the proposed method, which has got a wide number of advantages.

Convergence of The Discrete Classical Optimal Control Problem To The Continuous Classical Optimal Control Problem Including A Nonlinear Hyperbolic P.D. Equation

Jamil A. Ali Al-Hawasy

Engineering and Technology Journal, 2010, Volume 28, Issue 14, Pages 4687-4702

Our focus in this paper is to study the behaviour in the limit of the discrete classical optimal control problem including partial differential equations of nonlinear hyperbolic type. We study that the discrete state and its discrete derivative are stable in Hilbert spaces 1 H0(W) and L2(W) respectively. The discrete state equations containing discrete controls converge to the continuous state equations. The convergent of a subsequence of the sequence of discrete classical optimal for the discrete optimal control problem, to a continuous classical optimal control for the continuous optimal control problem is proved. Finally the necessary conditions for optimality of the discrete classical optimal control problem converge to the necessary conditions for optimality of the continuous optimal control problem, so as the minimum principle in blockwise form for optimality.