NDLI: Multidisciplinary modeling and position control of an electro-hydrostatic actuation system using an adaptive PID controller based on neurofuzzy network

Content Provider	IEEE Xplore Digital Library
Author	Mirshojaeian Hosseini, M.J. Alidoosti, S. Shoorehdeli, M.A.
Copyright Year	2013
Description	Author affiliation: Dept. of Mechatron. Eng., K.N. Toosi Univ. of Technol., Tehran, Iran (Mirshojaeian Hosseini, M.J.; Alidoosti, S.; Shoorehdeli, M.A.)
Abstract	This paper deals with the issue of position control of an Electro-Hydrostatic Actuator (EHA) using an adaptive PID controller based on neurofuzzy network. In this relation, the design and simulation of an electro-hydrostatic actuation system referred to as EHA using multidisciplinary modeling method is presented. In recent years, fuzzy-PID controller is one of the main controllers that apply to the EHA systems. To improve the response of this controller, another control technique is needed to combine with the fuzzy-PID, and also, training some parameters of fuzzy-PID technique is a solution. The whole of new controller is composed of pair of interconnected subsystems, that is, an RBF network and conventional fuzzy-PID controller to enhance the tracking performance. Results show a significant improvement in transient response is achieved in comparison with a conventional fuzzy-PID control.
Starting Page	149
Ending Page	154
File Size	512733
Page Count	6
File Format	PDF
e-ISBN	9781479931170
DOI	10.1109/ICCIAutom.2013.6912825
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-28
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Actuators Fluids Gears Friction Valves Servomotors Integrated circuit modeling
Content Type	Text
Resource Type	Article

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