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All Journal IAES International Journal of Robotics and Automation (IJRA) Indonesian Journal of Electrical Engineering and Computer Science
Ali Mohammadi
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Automotive Engineering Electrical & Electronics Engineering

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Modelling and Controller Design of Electro-Pneumatic Actuator Based on PWM Behrouz Najjari; S. Masoud Barakati; Ali Mohammadi; Mohammad Javad Fotuhi; Saeid Farahat; Mohammad Bostanian
IAES International Journal of Robotics and Automation (IJRA) Vol 1, No 3: September 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

In this paper, a nonlinear model associated to the fast switching on-off solenoid valve and pneumatic cylinder was dynamically presented. Furthermore, an investigation into the electrical, magnetic, mechanical and fluid subsystems are made. Twocommon control policies to track valve position, a Proportional Integrator (PI) based on Pulse Width Modulation (PWM) and hysteresis controllers, are investigated. To control cylinder position, a Programmable Logic Controller (PLC) on a simulated unit and an experimental setup regulated with AVR microcontroller are carried out. Experimental results show effective validation to the simulation results from PLC. DOI: http://dx.doi.org/10.11591/ijra.v1i3.565
Fluctuations Mitigation of Variable Speed Wind Turbine through Optimized Centralized Controller Ali Mohammadi; Sajjad Farajianpour; Saeed Tavakoli; S. Masoud Barakati
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 4: August 2012
Publisher : Institute of Advanced Engineering and Science

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A wind energy conversion system (WECS) including a variable wind turbine in grid-connected mode is considered to control. In this paper, each component of WECS model is systematically presented and then the integrated overall model is validated.Regarding to nonlinear nature of WECS and the complex system structure as multiple-input- multiple-output (MIMO),control procedure counters the problem which strategy to handle.To simplify the control policy, a centralized controller which is compatible with systematic modelling introduced, is employed. In other hand to augment the centralized controller performance, an optimization based on genetic algorithm (GA) is accomplished. Simulation results demonstate the proper efficiency in fluctuations mitigation. DOI: http://dx.doi.org/10.11591/telkomnika.v10i4.854
Improved Bacterial Foraging Algorithm for Optimum Economic Emission Dispatch with Wind Power Sajjad Farajianpour; Ali Mohammadi; Saeed Tavakoli; S. Masoud Barakati
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 4: August 2012
Publisher : Institute of Advanced Engineering and Science

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In this paper, an improved bacterial foraging algorithm (IBFA) is employed to solve economic-emission dispatch (EED) problem. Regarding to more interest to renewable energy sources especially wind energy in recent years, it is necessary to use of incorporate wind power plants into EED problem. To consider realistic conditions, EED is included bi-objective of cost and NOx emission. The problems encountered with BFA are ineffective bacteria elimination resulted in poor performance. To overcome this, a modified BFA is proposed in reproduction step. EED is performed both with and without wind power plant subjected to couple of constraints using proposed approach and investigated from stand point of cost generation, and grid losses. Simulation results verify the accuracy of the proposed algorithm. DOI: http://dx.doi.org/10.11591/telkomnika.v10i4.851
Co-Authors Behrouz Najjari Mohammad Bostanian Mohammad Javad Fotuhi S. Masoud Barakati Saeed Tavakoli Saeid Farahat Sajjad Farajianpour