DocumentCode
2027009
Title
Research on Sliding Mode Robust Tracking Control of High Precision Linear Servo System Based on B Spline Network
Author
Yibiao, Sun ; Qingding, Guo ; Ximei, Zhao
Author_Institution
Sch. of Electr. Eng., Shenyang Univ. of Technol.
Volume
2
fYear
2005
fDate
29-29 Sept. 2005
Firstpage
1628
Lastpage
1631
Abstract
The permanent magnet linear servo system has some advantages of high speed, high response and direct drive, but the servo performance is influenced by the load disturbances, end-effects, nonlinear friction and the parameters variations. In order to eliminate the influences of the above-mentioned uncertain factors on the base of ensuring better tracking performance, a robust tracking control strategy combining variable structure control (VSC) to B spline nervous network (BSNN) is presented in this paper. The variable structure control has advantages of the fast response and the invariability of the uncertain factors, but its chattering phenomenon will influence the stationarity of the linear servo system and tracking precision. To reduce the "chattering" input, a BSNN is adopted to simulate the above-mentioned uncertain factors, thus the steady state accuracy of the system is enhanced further. The simulation results show that the solution not only has stronger robustness to the uncertainty of the linear servo system, but also has better tracking performance
Keywords
linear motors; machine control; permanent magnet motors; robust control; servomechanisms; B spline nervous network; permanent magnet linear servo system; sliding mode robust tracking control; tracking precision; variable structure control; Control systems; Drives; Friction; Permanent magnets; Robust control; Robustness; Servomechanisms; Sliding mode control; Spline; Steady-state;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Machines and Systems, 2005. ICEMS 2005. Proceedings of the Eighth International Conference on
Conference_Location
Nanjing
Print_ISBN
7-5062-7407-8
Type
conf
DOI
10.1109/ICEMS.2005.202828
Filename
1638066
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