Control of the Electric Load Simulator Using Fuzzy Multiresolution Wavelet Neural Network with Dynamic Compensation
Joint Authors
Gao, Qiang
Hou, Yuan-long
Wang, Chao
Liu, Rongzhong
Hou, Runmin
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-01-11
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
A fuzzy multiresolution wavelet neural network (FMWNN) controller with dynamic compensation (DC) is proposed to address the complexities of the electric load simulator (ELS).
The FMWNN acts as a main torque tracking controller, which takes full advantage of the merits of an ideal sliding mode, fuzzy rules, and multiresolution WNN.
The fuzzy algorithm is used to dynamically adjust the weights of the WNN and effectively accelerate the convergence rate.
In addition, the DC controller is designed to greatly decrease the effect of the approximation error and guarantee the system stability in the sense of the Lyapunov theory.
Finally, the proposed algorithms are carried out on the semiphysical simulation platform, the precision and superiority of which are comparatively verified based on the simulation results.
American Psychological Association (APA)
Wang, Chao& Hou, Yuan-long& Liu, Rongzhong& Gao, Qiang& Hou, Runmin. 2016. Control of the Electric Load Simulator Using Fuzzy Multiresolution Wavelet Neural Network with Dynamic Compensation. Shock and Vibration،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1119025
Modern Language Association (MLA)
Wang, Chao…[et al.]. Control of the Electric Load Simulator Using Fuzzy Multiresolution Wavelet Neural Network with Dynamic Compensation. Shock and Vibration No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1119025
American Medical Association (AMA)
Wang, Chao& Hou, Yuan-long& Liu, Rongzhong& Gao, Qiang& Hou, Runmin. Control of the Electric Load Simulator Using Fuzzy Multiresolution Wavelet Neural Network with Dynamic Compensation. Shock and Vibration. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1119025
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1119025