Neuro-Fuzzy Based Performance Evaluation of Shunt Motor

T. D. Sudhakar

This paper describes an alternative methodology intended for the mathematical calculation designed to evaluate the performance for DC Shunt motor through Neuro-Fuzzy Logic Controller (NFLC). Here by using experimental results for various load conditions of a motor using fuzzy logic controller is developed. This fuzzy logic controller provides imitativeness, simplicity, easy implementation and minimal knowledge of system dynamics. This type of fuzzy logic controller has met the growing interest in many motor control applications due to its non – linearity’s handling features and independence.

Select Volume / Issues:

• Volume 4 Issue 2, March. 2013

Year:

2013

Type of Publication:

Article

Keywords:

ANFIS Architecture; Load Test; Neuro Fuzzy; Shunt Motor

Journal:

IJECCE

Volume:

4

Number:

2

Pages:

359-364

Month:

March