Title :
ANFIS modeling and Direct ANFIS Inverse control of an Electro-Hydraulic Actuator system
Author :
Ling, T.G. ; Rahmat, M.F. ; Husain, Abdul Rashid
Author_Institution :
Dept. of Control & Instrum., Univ. Teknol. Malaysia, Skudai, Malaysia
Abstract :
The existence of high degree of nonlinearity in Electro-Hydraulic Actuator (EHA) has imposed a challenging work in developing a representable model for the system and controller design such that significant control performance can be achieved. The objectives of this paper are to generate an accurate EHA model using ANFIS approach and obtain a controller using Direct ANFIS Inverse approach. The ANFIS model is able to represent the nonlinear EHA system at high accuracy and low Root Mean Squared Error (RMSE). Direct ANFIS inverse controller has shown the ability in position tracking of EHA system in step and sine response. Besides, ANFIS controller is able to handle external disturbances to the system.
Keywords :
control nonlinearities; control system synthesis; controllers; electrohydraulic control equipment; fuzzy reasoning; hydraulic actuators; mean square error methods; neural nets; position control; ANFIS approach; ANFIS modeling; EHA model; RMSE; control performance; controller design; direct ANFIS inverse controller; electro-hydraulic actuator system; nonlinear EHA system; position tracking; root mean squared error; sine response; Actuators; Adaptation models; Conferences; Data models; Mathematical model; Pistons; ANFIS; EHA; disturbances; inverse control; modeling;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-6320-4
DOI :
10.1109/ICIEA.2013.6566397