Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : control

Optimal and Robust Tuning of State Feedback Controller for Rotary Inverted Pendulum

Hazem I. Ali; Rasha Mohammed Naji

Engineering and Technology Journal, 2016, Volume 34, Issue 15, Pages 2924-2939

This paper presents the design and implementation of optimal and robust state feedback controller for rotary inverted pendulum system. The Particle Swarm Optimization (PSO) method is used to find the optimal values of the state feedback gains subject to time response specifications and H_∞ constraints. To improve the tracking of the system, a robust state feedback plus integral controller is designed. The simulation results show that the proposed controller can effectively stabilize the pendulum at the upright position. Further, the proposed controller can compensate the variations in system parameters. The effectiveness of the proposed controller is verified experimentally using real rotary inverted pendulum.

Optimization and Control of Acation Exchanger :1- Steady State Optimization

Ghanim M. Alwan; Layla A. A. Ahmed; Ahlam. S. Maroof; Abeer S. Mahmod

Engineering and Technology Journal, 2010, Volume 28, Issue 3, Pages 484-491

The effect of process variables on the recovery of hardness from water by
acation exchanger was studied. At steady state the process could be represented by
second order nonlinear emperical model. Although this model was less accurate than
the dynamic model,the results show agreement when compared with the experimental
data. The steady state optimization model was used to limit the operating conditions of
the system. The static feed forward control could be used with the aid of on – line
digital computer.

Tendency Modelling Of Desublimator For Optimization And Control

Ghanm. M. Alwan

Engineering and Technology Journal, 2008, Volume 26, Issue 6, Pages 648-659

The study was devoted to test the effect of the process variables on the desublimator
(cold trap) efficiency under vacuum technique. Since several intermediate process
parameters could not be measured or inspected, then it was necessary to predict them by
the gray model. Although the novel approach (tendency model) for the desublimator was
less accurate than the detailed one, but it showed agreement results when compared with
the experimental data. The accuracy of model could be increased by increasing the
process variable monitors. The tendency model was more effective to deal with the lack
of knowledge about the process when implemented with the optimal control system.