DocumentCode
2554367
Title
Notice of Retraction
A new nonlinear control method for brake tester
Author
Jia-Lin Liu ; Yuan-Biao Zhang ; Sha Zhao
Author_Institution
Math. Modeling Innovative Practice Base, Zhuhai Coll. Jinan Univ., Zhuhai, China
fYear
2010
fDate
16-18 April 2010
Firstpage
387
Lastpage
392
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.
Through analyzing the simulation process of the brake test-bed, using a single-loop and a double-loop control model, this paper proposes that regarding the drive current as the control point, and on this basis, establishing a non-linear control model based on single neuron self-adaptivity. Then, this paper analysis these models using computer simulation. At last, the results shows that under the self-adaptive regulation from single neuron, the method of direct control of the drive current has better comprehensive preformance, its low system errors, high stability and good self-adaptability makes it possible to represent the condition in the real industry production much better.
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.
Through analyzing the simulation process of the brake test-bed, using a single-loop and a double-loop control model, this paper proposes that regarding the drive current as the control point, and on this basis, establishing a non-linear control model based on single neuron self-adaptivity. Then, this paper analysis these models using computer simulation. At last, the results shows that under the self-adaptive regulation from single neuron, the method of direct control of the drive current has better comprehensive preformance, its low system errors, high stability and good self-adaptability makes it possible to represent the condition in the real industry production much better.
Keywords
brakes; nonlinear control systems; test equipment; brake tester; double-loop control model; nonlinear control method; self adaptive regulation; single-loop control model; Analytical models; Automatic testing; Computational modeling; Computer errors; Computer simulation; Control systems; Electrical equipment industry; Error correction; Neurons; Stability; Brakes-Double-loop control model; Drive current; Single Neuron Adaptive;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5263-7
Type
conf
DOI
10.1109/ICIME.2010.5478098
Filename
5478098
Link To Document