A neuro fuzzy controller for inverter fed variable speed induction motor drive on the power system

2002 ◽  
Author(s):  
Kyu-Bock Cho
Keyword(s):  
Power System ◽  
Induction Motor ◽  
Fuzzy Controller ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Variable Speed ◽  
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.

A High Performance of Induction Motor Drive System

2020 ◽  
Vol 13 (8) ◽  
pp. 1129-1134
Author(s):  
Cuifeng Shen ◽  
Hanhua Yang
Keyword(s):  
Induction Motor ◽  
High Performance ◽  
Fuzzy Controller ◽  
Drive System ◽  
Motor Drive ◽  
Deterministic System ◽  
Induction Motor Drive ◽  
Paper Making ◽  
Drive Control ◽  
Motor Drive System

Background: A multi-motor synchronous drive control system is widely used in many fields, such as electric vehicle drive, paper making, and printing. Methods: On the basis of the optimized structure of ADRC, a fuzzy first-order active disturbance rejection controller was developed. Double channels compensation of extended state observer was employed to estimate and compensate the total disturbances, and an approximate linearization and deterministic system was obtained. As the parameters of ADRC are adjusted online by a fuzzy controller, the performance of the controller is effectively improved. Results: Based on the SIMATIC S7-300 induction motor control experimental platform, the performances of anti-interference and tracking performance are tested. Conclusion: The actual experimental results indicated that compared with PID control, induction motor drive system controlled by fuzzy ADRC has higher dynamic and static status and following performances and stronger anti-interference abilities.

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