A Fuzzy Logic Controller with Tuning Output Scaling Factor for Induction Motor Control Taking Core Loss into Account
Journal Title: International Journal of Intelligent Systems and Applications in Engineering - Year 2014, Vol 2, Issue 3
Abstract
This paper presents a design of a fuzzy logic controller (FLC) with tuning output scaling factor for speed control of indirect field oriented induction motor (IM) taking core loss into account. The variation of output scaling factor of FLC depends on the normalized output of FLC. Firstly the speed control of IM taking core loss into account is presented by using FLC with fixed scaling factors (FLC-FSF). Secondly the speed controller based on suggested FLC with tuning output scaling factor (FLC-TOSF) is proposed. The performance of the proposed FLC-TOSF for speed control of IM are investigated and compared to those obtained using FLC-SFS at different operating conditions and variation of parameters. A comparison of simulation results shows that the convergence of actual speed to reference speed is faster by using the proposed FLC-TOSF.
Authors and Affiliations
Mohammad Abdul Mannan*| Dept. of EEE, American International University – Bangladesh, 83/B Road 14 Kemal Ataturk Avenue, Banani, Dhaka, Toshiaki Murata| Dept. of EEE, Kitami Institute of Technology,165Koen-cho, Kitami, Hokkaido, 090-8507 Japan, Junji Tamura| Dept. of EEE, Kitami Institute of Technology,165Koen-cho, Kitami, Hokkaido, 090-8507 Japan
Store Data from Experiments with Microorganisms Used in Food Industry
The aim of this paper is to present results from collaboration of computer engineers and experimenters in microbiology working with molecular-genetic methods. The experimenters in microbiological laboratory at the Univer...
An Artificial Neural Network Model for Wastewater Treatment Plant of Konya
In this study, modelling of Konya wastewater treatment plant was studied by using artificial neural network with different architectures in Matlab software. All data were obtained from wastewater treatment plant of Konya...
Vulnerability Analysis of Multiple Critical Fault Outages and Adaptive Under Voltage Load Shedding Scenarios in Marmara Region Electrical Power Grid
The utilization of electrical power system has been rising frequently from past to now and there is a need of dependable electrical transmission and distribution networks so as to ensure continuous and balanced energy. B...
The Classification of Eye State by Using kNN and MLP Classification Models According to the EEG Signals
What is widely used for classification of eye state to detect human’s cognition state is electroencephalography (EEG). In this study, the usage of EEG signals for online eye state detection method was proposed. In this s...
An Analysis of Archive Update for Vector Evaluated Particle Swarm Optimization
Multi-objective optimization problem is commonly found in many real world problems. In computational intelligence, Particle Swarm Optimization (PSO) algorithm is a popular method in solving optimization problems. An exte...