Title :
Single node recursions in Adaptive Neuro-Fuzzy Controller
Author_Institution :
Dept. of Electr. Machines, Drives & Meas., Wroclaw Univ. of Technol., Wroclaw, Poland
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;
Conference_Titel :
Cybernetics (CYBCONF), 2015 IEEE 2nd International Conference on
Conference_Location :
Gdynia
Print_ISBN :
978-1-4799-8320-9
DOI :
10.1109/CYBConf.2015.7175973
