CPS Oriented Control Design for Networked Surveillance Robots With Multiple Physical Constraints

• Published in: IEEE transactions on computer-aided design of integrated circuits and systems Vol. 35; no. 5; pp. 778 - 791
• Main Authors: Khan, Muhammad Umer, Shuai Li, Qixin Wang, Zili Shao
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Avoidance; Collision avoidance; Control systems; cyber physical systems; Design engineering; Formations; Integrated circuit modeling; networked robots; obstacle avoidance; Obstacles; Robot kinematics; Robot sensing systems; Robots; Symmetric matrices; Tracking; Trajectories; Trajectory; obstacle avoidance; networked robots; Cyber-physical systems (CPSs); formation control
• ISSN: 0278-0070; 1937-4151
• DOI: 10.1109/TCAD.2016.2524653

Networked robotics are a typical cyber-physical system (CPS). This paper presents the cyber physical interaction model to perform formation control and tracking in the presence of other robots and static obstacles. It discusses how such a model can be effectively utilized to deal with kinodynamic and operation range constraints. The cyber system is also responsible for feasible trajectory generation based upon regional path segments and to ensure that all the robots maneuver through obstacles in a safe manner. The introduction of virtual robot restructures the formation control problem into a tracking control problem between virtual reference robot and follower robots. A novel obstacle avoidance approach is proposed based upon the scaling of whole (partial) formation corresponding to centralized (distributed) framework. The involved CPS has network structure preserving properties that are key to effective distributed decision making. The novel formation control, obstacle avoidance, and trajectory tracking approaches facilitate networked robots to be effectively controlled through the cyber system. We also discuss efficient and optimal implementation of the proposed trajectory generator using computer-aided design for CPSs. Evaluation of the proposed approach is provided that demonstrate the formation control, trajectory tracking, and obstacle avoidance for multirobots using the proposed scheme.