DocumentCode
554043
Title
Notice of Retraction
Research on semi-active control of high-speed railway vehicle based on neural network-PID control
Author
Yang Zhiqiang ; Zhang Baoan ; Zhang Jimin ; Wang Chenhui
Author_Institution
Inst. of Vocational Instructors, Zhejiang Normal Univ., Jinhua, China
Volume
2
fYear
2011
fDate
26-28 July 2011
Firstpage
673
Lastpage
676
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
For the model of semi-active suspension system of high-speed railway vehicle which has nonlinear features, the mathematical model of a quarter of vehicle has been established, and in the semi-active suspension system, a PID controller and a PID controller based on BP neural network have been established, respectively, and simulations of high-speed vehicle are carried out under the condition of passive suspension and semi-active suspension employing PID control algorithm based on BP neural network, then to compare the stabilities of high-speed railway vehicle in the above two cases. The simulation results will show that: high-speed railway vehicle of semi-active suspension by adopting PID control method based on BP neural network can effectively improve the stability of high-speed railway vehicle.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
For the model of semi-active suspension system of high-speed railway vehicle which has nonlinear features, the mathematical model of a quarter of vehicle has been established, and in the semi-active suspension system, a PID controller and a PID controller based on BP neural network have been established, respectively, and simulations of high-speed vehicle are carried out under the condition of passive suspension and semi-active suspension employing PID control algorithm based on BP neural network, then to compare the stabilities of high-speed railway vehicle in the above two cases. The simulation results will show that: high-speed railway vehicle of semi-active suspension by adopting PID control method based on BP neural network can effectively improve the stability of high-speed railway vehicle.
Keywords
backpropagation; neurocontrollers; railway rolling stock; suspensions (mechanical components); three-term control; BP neural network; high-speed railway vehicle; neural network-PID control; semi-active control; semi-active suspension system; Acceleration; Damping; Mathematical model; Rail transportation; Stability analysis; Suspensions; Vehicles; PID; high-speed railway vehicle; neural network; semi-active control;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location
Shanghai
ISSN
2157-9555
Print_ISBN
978-1-4244-9950-2
Type
conf
DOI
10.1109/ICNC.2011.6022178
Filename
6022178
Link To Document