Comparison of Current Controllers Induction Machine 1 HP based on ANN, Fuzzy, ANFIS and PI
Journal Title: IOSR Journals (IOSR Journal of Electrical and Electronics Engineering) - Year 2017, Vol 12, Issue 4
Abstract
Induction motors are widely used in industries these days. This is the reason they are manufactured in large numbers. This paper presents the comparative study of Artificial Neural Network (ANN), Fuzzy Control System, Adaptive Neuro-Fuzzy Inference System (ANFIS) and Proportional Integral. These all techniques are applied to AC machine drive to control current spikes. While AC induction motor is operating the load and the parameters varies accordingly, but the provision of desirable control both in transient and steady states must be done. Hence, the control strategy is required as rugged and adaptational. Due to the inability in some regular control methods like PI, PID controllers to work under broad spectrum of operation, the controllers under Artificial Intelligence category like ANN, ANFIS, Fuzzy controller, genetic algorithm and some expert systems are being used widely in the industries. Here, the problem with conventional, fuzzy controller is that the parameters interrelated with membership functions and the rules depend generally on the insight of the experts. The concept of Hybrid controllers is growing these days. To pull through this problem, ANFIS, ANN, Fuzzy Logic Control and PI controllers are put forward in this paper and detail comparison is done.
Authors and Affiliations
Mrs. U. B. Malkhandale, Dr. N. G. Bawane
Keywords
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- EP ID EP388221
- DOI 10.9790/1676-1204023642.
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