scholarly journals Implementation of feedback-linearization-modelled induction motor drive through an adaptive simplified neuro-fuzzy approach

Sadhana ◽  
2017 ◽  
Vol 42 (12) ◽  
pp. 2113-2135 ◽  
Author(s):  
RABI NARAYAN MISHRA ◽  
KANUNGO BARADA MOHANTY
Keyword(s):  
Induction Motor ◽  
Feedback Linearization ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Fuzzy Approach ◽  
Neuro Fuzzy

A Comparative Performance Analysis of Indirect Vector Controlled Induction Motor Drive Using Optimized AI Techniques

2020 ◽  
Vol 17 (1) ◽  
pp. 464-472
Author(s):  
B. T. Venu Gopal ◽  
E. G. Shivakumar
Keyword(s):  
Induction Motor ◽  
Fuzzy Controller ◽  
Induction Machines ◽  
Pi Controller ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Comparative Performance ◽  
Neuro Fuzzy ◽  
Novel Method ◽  
Enhance Efficiency

This paper exhibits a point by point comparison between Neuro Fuzzy and Genetic Algorithm GA based control systems of Induction Motor drive, underlining favorable circumstances and drawbacks. Industries are advancing and upgrading generation line to enhance efficiency and quality. Induction machines are considered by nonlinear, time varying dynamics, inaccessibility of few states and thus can be considered as a challenging issue. In this paper, a novel method using modified GA is presented to limit electric losses of Induction Motor and it is compared with Neuro Fuzzy Controller. GA is a subordinate of AI, whose principle relies upon Darwin’s theory—struggle for existence and the survival of the fittest. The technique for deciding the gain parameters of PI controller utilizing GA whose output is utilized to control the torque applied to the Induction Motor in this way controlling its speed. The gains of PI controller are improved with the assistance of GA to upgrade the performance of IM drive. The results are simulated in MATLAB Simulink and are related with the conventional PI controller and Adaptive Neuro Fuzzy controller (NFC). NFC is less complicated and gives great speed precision yet GA based PI controller produces significantly reduced torque and speed ripples compared with other controllers, in this way limiting losses in IM drives.

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