DocumentCode :
1656838
Title :
Adaptive Path Control of Unmanned Ground Vehicle
Author :
Sun, Z. ; Cai, W.C. ; Liao, X.H. ; Dong, T. ; Song, Y.D.
Author_Institution :
Nat. Inst. of Aerosp., Hampton, VA
fYear :
2006
Firstpage :
335
Lastpage :
339
Abstract :
As part of the effort in developing cooperative control schemes for multiple unmanned ground vehicles (UGVs), this work explores automatically steering a three-wheel mobile vehicle via highly adaptive approach. By introducing a virtual current vector, a set of control algorithms for direct controlling the left and right driving motors are derived. As confirmed by both theoretical analysis and computer simulation, the developed algorithms are effective in maintaining good path tracking precision in the presence of uncertain dynamics due to various disturbances emanating from external loads, the wheel-ground contact, and other unmodeled nonlinearities
Keywords :
adaptive control; mobile robots; path planning; position control; remotely operated vehicles; robot dynamics; steering systems; telerobotics; uncertain systems; adaptive path control; automatic steering; three-wheel mobile vehicle; uncertain dynamics; unmanned ground vehicles; Adaptive control; Aerodynamics; Automatic control; Control systems; Land vehicles; Programmable control; Road vehicles; USA Councils; Vehicle dynamics; Wheels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Theory, 2006. SSST '06. Proceeding of the Thirty-Eighth Southeastern Symposium on
Conference_Location :
Cookeville, TN
Print_ISBN :
0-7803-9457-7
Type :
conf
DOI :
10.1109/SSST.2006.1619099
Filename :
1619099
Link To Document :
بازگشت