ANFIS Controller with Fuzzy Subtractive Clustering Method to Reduce Coupling Effects in Twin Rotor MIMO System (TRMS) with Less Memory and Time Usage

• Published in: 2009 International Conference on Advanced Computer Control pp. 19 - 23
• Main Authors: Mahmoud, T.S., Marhaban, M.H., Hong, T.S., Sokchoo Ng
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.01.2009
• Subjects: ANFIS; Clustering methods; Control systems; Data mining; Fuzzy control; Fuzzy logic; Fuzzy Logic Control; Fuzzy Subtractive Clustering Method; Fuzzy systems; MATLAB; MIMO; Power capacitors; Transmission line measurements; Twin Rotor MIMO System (TRMS)
• DOI: 10.1109/ICACC.2009.92
• ISBN: 9781424433308; 076953516X; 9780769535166; 1424433304

In this paper, adaptive neural fuzzy inference system (ANFIS) and fuzzy subtractive clustering method (FSCM) were used to solve non-linearity, trajectory, and interaction problems of twin rotor MIMO system (TRMS). Basically, four fuzzy logic controllers (FLC) have been proposed to match the control objectives on TRMS. The four FLCs are considered as high consumers of memory and processing time relatively. New developed controllers are extracted to cope with these problems with less memory and time. Learning data were extracted from training the used conventional FLCs. Simulation results under MATLAB/Simulinkreg proved the improvement of response and simplicity of controller.