Research Article | OPEN ACCESS
Speed Control of Induction Motor Fed from Wind Turbine via Particle Swarm Optimization Based PI Controller
1A.S. Oshaba and 2E.S. Ali
1Electronics Research Institute, Power Electronics and Energy Conversions,
NRC Blg., El-Tahrir St., Dokki, 12311-Giza, Egypt
2Electric Power and Machine Department, Faculty of Engineering, Zagazig University, Zagazig, Egypt
Research Journal of Applied Sciences, Engineering and Technology 2013 18:4594-4606
Received: January 16, 2013 | Accepted: February 18, 2013 | Published: May 05, 2013
Abstract
Three-phase Induction Motor (IM) is widely used in the industry because of its rugged construction and absence of brushes. However, speed control of IM is required depending on the desired speed and application. This study proposes a design of a Proportional Integral (PI) controller using Particle Swarm Optimization (PSO) algorithm to control the speed of an IM supplied from wind turbine. The wind turbine acts as a prime mover to a connected DC generator. Pulse Width Modulation (PWM) is used to obtain three phase AC voltage from the output of DC generator. The proposed design problem of speed controller is formulated as an optimization problem. PSO is employed to search for optimal controller parameters by minimizing the time domain objective function. The performance of the proposed technique has been evaluated with respect to the variation of load torque and speed wind turbine. Also the performance of the proposed controller has been evaluated with the performance of the PI controller tuned by Genetic Algorithm (GA) in order to demonstrate the superior efficiency of the proposed PSO in tuning PI controller. Simulation results emphasis on the better performance of the optimized PI controller based on PSO in compare to optimized PI controller based on GA over a wide range of load torque and speed wind turbine.
Keywords:
DC Generator, Genetic Algorithm, Induction Motor, Particle Swarm Optimization, Pulse Width Modulation, Speed Control, Wind Turbine,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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