TY - JOUR
T1 - Design of Fuzzy Enhanced Hierarchical Motion Stabilizing Controller of Unmanned Ground Vehicle in Three DimensionalSpace
AU - Ma, Yue
AU - Xiang, Changle
AU - Zhu, Quanmin
AU - Yan, Qingdong
AU - Winfield, Alan
N1 - Publisher Copyright:
© 2017, Atlantis Press.
PY - 2011/12
Y1 - 2011/12
N2 - In this paper, stabilizing control of tracked unmanned ground vehicle in 3-D space was presented. Firstly, models of major modules of tracked UGV were established. Next, to reveal the mechanism of disturbances applied on the UGV, two kinds of representative disturbances (slope and general disturbances in yaw motion) were discussed in depth. Consequently, an attempting PID method was employed to compensate the impacts of disturbances andsimulation results proved the validity for disturbance incited by slope force, but revealed the lack for general disturbance on yaw motion. Finally, a hierarchical fuzzy controller combined with PID controller was proposed. In lower level, there were two PID controllers to compensate the disturbance of slope force, and on top level, the fuzzy logic controller was employed to correct the yaw motion error based on the differences between the model and the real UGV, which was able to guide the UGV maintain on the stable state. Simulation results demonstrated the excellent effectiveness of the newly designed controller.
AB - In this paper, stabilizing control of tracked unmanned ground vehicle in 3-D space was presented. Firstly, models of major modules of tracked UGV were established. Next, to reveal the mechanism of disturbances applied on the UGV, two kinds of representative disturbances (slope and general disturbances in yaw motion) were discussed in depth. Consequently, an attempting PID method was employed to compensate the impacts of disturbances andsimulation results proved the validity for disturbance incited by slope force, but revealed the lack for general disturbance on yaw motion. Finally, a hierarchical fuzzy controller combined with PID controller was proposed. In lower level, there were two PID controllers to compensate the disturbance of slope force, and on top level, the fuzzy logic controller was employed to correct the yaw motion error based on the differences between the model and the real UGV, which was able to guide the UGV maintain on the stable state. Simulation results demonstrated the excellent effectiveness of the newly designed controller.
KW - 3-D Space
KW - Fuzzy Logic Enhanced
KW - Ground Disturbances
KW - Hierarchical Control
KW - Stabilizing
KW - Unmanned Ground Vehicle
UR - http://www.scopus.com/inward/record.url?scp=85183321994&partnerID=8YFLogxK
U2 - 10.2991/ijcis.2011.4.6.8
DO - 10.2991/ijcis.2011.4.6.8
M3 - Article
AN - SCOPUS:85183321994
SN - 1875-6891
VL - 4
SP - 1168
EP - 1178
JO - International Journal of Computational Intelligence Systems
JF - International Journal of Computational Intelligence Systems
IS - 6
ER -