Single node recursions in Adaptive Neuro-Fuzzy Controller

Author

Derugo, Piotr

Author_Institution

Dept. of Electr. Machines, Drives & Meas., Wroclaw Univ. of Technol., Wroclaw, Poland

fYear

2015

fDate

24-26 June 2015

Firstpage

433

Lastpage

438

Abstract

In this paper the analysis of possible implementations of single node recursions in Adaptive Neuro Fuzzy Controller has been made. By single node recursions we mean using as additional input signal for certain nodes being functions of this nodes existing signals from previous algorithm iterations. Papers presents ANFC structure and possible recursions implementations. Theoretical considerations are followed by simulation experiments using Sim Power System library and Matlab - Simulink software. As control object cascade control structure for DC motor system has been modeled.

Keywords

DC motors; adaptive control; cascade control; fuzzy control; machine control; neurocontrollers; ANFC structure; DC motor system; Matlab-Simulink software; adaptive neuro-fuzzy controller; control object cascade control structure; input signal; recursion implementation; sim power system library; simulation experiment; single node recursion; Computational modeling; DC motors; Inductance; Load modeling; MATLAB; Mathematical model; Torque; ANFC; DC motor; adaptive; recurrency; recursion;

fLanguage

English

Publisher

ieee

Conference_Titel

Cybernetics (CYBCONF), 2015 IEEE 2nd International Conference on

Conference_Location

Gdynia

Print_ISBN

978-1-4799-8320-9

Type

conf

DOI

10.1109/CYBConf.2015.7175973

Filename

7175973