TY - JOUR
T1 - 基于屏障控制函数的轮式机器人系统多目标分布式协同控制
AU - Na, Xi Tai
AU - Zhao, Guo Liang
AU - Weng, Zhi
AU - Xia, Yuan Qing
N1 - Publisher Copyright:
© 2022 Northeast University. All rights reserved.
PY - 2022/9
Y1 - 2022/9
N2 - A single controller is designed for a nonholonomic wheeled robot systems to synthesize formation, connectivity and collision avoidance, yielding a distributed control battier function (CBF) based controller, which is naturally relevant to the Lyapunov-like function. A novel class of Lyapunov-like barrier functions which encode the inequality constraints of connectivity and collision avoidance, is introduced into the controller. The corresponding barrier inequality constraints are proposed, and the robot achieves connectivity maintenance and collision avoidance objectives when ensuring the positive invariance of the constraint set. This method provides continues change of control velocity reducing the mechanical fatigue of the actuator. In addition, it can be extended to more secondary control objectives considering different control barrier functions. Moreover, the proposed cooperative control algorithm has no special requirements for formation, and is suitable for different formation requirements and communication topologies. Simulation results are included to verify the effectiveness of the cooperative control algorithm under different situations.
AB - A single controller is designed for a nonholonomic wheeled robot systems to synthesize formation, connectivity and collision avoidance, yielding a distributed control battier function (CBF) based controller, which is naturally relevant to the Lyapunov-like function. A novel class of Lyapunov-like barrier functions which encode the inequality constraints of connectivity and collision avoidance, is introduced into the controller. The corresponding barrier inequality constraints are proposed, and the robot achieves connectivity maintenance and collision avoidance objectives when ensuring the positive invariance of the constraint set. This method provides continues change of control velocity reducing the mechanical fatigue of the actuator. In addition, it can be extended to more secondary control objectives considering different control barrier functions. Moreover, the proposed cooperative control algorithm has no special requirements for formation, and is suitable for different formation requirements and communication topologies. Simulation results are included to verify the effectiveness of the cooperative control algorithm under different situations.
KW - collision avoidance
KW - connectivity
KW - control barrier function
KW - inequality constraint
KW - multi-objective control
KW - multi-robot cooperative control
KW - nonholonomic constraint
UR - http://www.scopus.com/inward/record.url?scp=85137519626&partnerID=8YFLogxK
U2 - 10.13195/j.kzyjc.2021.0309
DO - 10.13195/j.kzyjc.2021.0309
M3 - 文章
AN - SCOPUS:85137519626
SN - 1001-0920
VL - 37
SP - 2235
EP - 2244
JO - Kongzhi yu Juece/Control and Decision
JF - Kongzhi yu Juece/Control and Decision
IS - 9
ER -