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
Link To Document :
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