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The Review of Soft Computing Applications in Humanitarian Demining Robots Design


Affiliations
1 Department of Computer Science, College of Software Engineering, Shirvan Branch, Islamic Azad University, Shirvan, Iran, Islamic Republic of
2 Department of Computer Science, College of Hardware Engineering, Shirvan Branch, Islamic Azad University, Shirvan, Iran, Islamic Republic of
3 Department of Computer Science, College of Information Engineering, Shirvan Branch, Islamic Azad University, Shirvan, Iran, Islamic Republic of
 

Background/Objectives: Three phase induction motors have been the workforce for several industrial, manufacturing, propulsion and transportation applications for the past several years. Energy efficient operation of induction motors is the important task in industries.The objective of the present paper is to provide energy efficient operation of induction motors using soft computing techniques. Methods/Statistical analysis: A fuzzy logic and firefly algorithm based hybrid technique is used for performance improvement of a.c.voltage controller fed three phase induction motor drives. Simulation is done by using matlab software. Findings: It is shown that the conventional search method for reaching the best efficiency point has got many drawbacks. These demerits are overcomed using the proposed softcomputing techniques. Application/Improvements: Improvement in motor efficiency and power factor is achieved and the motor always operates in the energy efficient region.

Keywords

Artificial Neural Network, Adaptive Systems, Fuzzy Logic, Fuzzy Neural Network, Humanitarian Demining Robots, Soft Computing
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  • The Review of Soft Computing Applications in Humanitarian Demining Robots Design

Abstract Views: 246  |  PDF Views: 0

Authors

Mehdi Neshat
Department of Computer Science, College of Software Engineering, Shirvan Branch, Islamic Azad University, Shirvan, Iran, Islamic Republic of
Ghodrat Sepidname
Department of Computer Science, College of Hardware Engineering, Shirvan Branch, Islamic Azad University, Shirvan, Iran, Islamic Republic of
Elnaz Mehri
Department of Computer Science, College of Information Engineering, Shirvan Branch, Islamic Azad University, Shirvan, Iran, Islamic Republic of
Amin Zalimoghadam
Department of Computer Science, College of Software Engineering, Shirvan Branch, Islamic Azad University, Shirvan, Iran, Islamic Republic of

Abstract


Background/Objectives: Three phase induction motors have been the workforce for several industrial, manufacturing, propulsion and transportation applications for the past several years. Energy efficient operation of induction motors is the important task in industries.The objective of the present paper is to provide energy efficient operation of induction motors using soft computing techniques. Methods/Statistical analysis: A fuzzy logic and firefly algorithm based hybrid technique is used for performance improvement of a.c.voltage controller fed three phase induction motor drives. Simulation is done by using matlab software. Findings: It is shown that the conventional search method for reaching the best efficiency point has got many drawbacks. These demerits are overcomed using the proposed softcomputing techniques. Application/Improvements: Improvement in motor efficiency and power factor is achieved and the motor always operates in the energy efficient region.

Keywords


Artificial Neural Network, Adaptive Systems, Fuzzy Logic, Fuzzy Neural Network, Humanitarian Demining Robots, Soft Computing



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i4%2F130308