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Author Peng Yang ♦ Jun Xu ♦ Jie He ♦ Lihua Liang ♦ Guobin li
Sponsorship IEEE ♦ ICIC Int. ♦ National Natural Sci. Found. of China ♦ Beijing Jiaotong Univ. ♦ Kaosiung Univ. of Appl. Sci
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2006
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword System testing ♦ Three-term control ♦ Neural networks ♦ Radial basis function networks ♦ Automatic control ♦ Control systems ♦ Vectors ♦ Servomechanisms ♦ Helium ♦ Marine vehicles
Abstract Because of the perturbations and disturbances of electro-hydraulic servo systems, the normal controller can't obtain good output responses under various conditions. A hybrid control strategy base on improved radial basis function (RBF) network was presented for the tracking problem. An offline optimization algorithm was employed to choose the number of hidden units of RBF network. Based on the theory of optimization in groups, different online learning algorithms were used to adjust centers and estimate connection weights. The hybrid controller combined this improved RBF network with traditional PID control, and it was applied to electro-hydraulic servo system of ship test bed. Simulation results show that the servo system has good dynamic performance and nice robustness with this hybrid controller
Description Author affiliation: Autom. Coll., Harbin Eng. Univ. (Peng Yang; Jun Xu; Jie He; Lihua Liang; Guobin li)
ISBN 0769526160
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2006-08-30
Publisher Place China
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 137.34 kB
Page Count 4
Starting Page 117
Ending Page 120


Source: IEEE Xplore Digital Library