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Cooperative and Interaction Control for Underwater Robotic Vehicles
Control Systems Lab, School of Mechanical Engineering, National Technical University of Athens.
2018 (English)Doctoral thesis, monograph (Other academic)
Abstract [en]

In this dissertation we address the problem of robust control for underwater robotic vehicles under resource constraints and inspired by practical applications in the field of marine robotics. By the term “resource constraints” we refer to systems with constraints on communication, sensing and energy resources. Within this context, the ultimate objective of this dissertation lies in the development and implementation of efficient control strategies for autonomous single and multiple underwater robotic systems considering significant issues such as: external disturbances, limited power resources, strict communication constraints along with underwater sensing and localization issues. Specifically, we focused on cooperative and interaction control methodologies for single and multiple Underwater Vehicle Manipulator Systems (UVMSs) considering the aforementioned issues and limitations, a topic of utmost challenging area of marine robotics. More precisely, the contributions of this thesis lie in the scope of three topics: i) Motion Control, ii) Visual servoing and iii) Interaction&Cooperative Transportation. In the first part, we formulated in a generic way the problem of Autonomous Underwater Vehicle (AUV) motion operating in a constrained environment including obstacles. Various constraints such as: obstacles, workspace boundaries, thruster saturation, system‘s sensing range and predefined upper bound of the vehicle velocity are considered during the control design. Moreover, the controller has been designed in a way that the vehicle exploits the ocean currents, which results in reduced energy consumption by the thrusters and consequently increases significantly the autonomy of the system. In the second part of the thesis, we have formulated a number of novel visual servoing control strategies in order to stabilize the robot (or robot’s end-effector) close to the point of interest considering significant issues such as: camera Field of View (FoV), Camera Calibration uncertainties and the resolution of visual tracking algorithm. In the third part of the thesis, regarding the interaction task, we present a robust interaction control scheme for a UVMS in contact with the environment, with great applications in underwater robotics (e.g. sampling of the sea organisms, underwater welding, object handling). The proposed control scheme does not required any a priori knowledge of the UVMS dynamical parameters or the stiffness model. It guarantees a predefined behavior in terms of desired overshoot, transient and steady state response and it is robust with respect to external disturbances and measurement noises. Moreover, we have addressed the problem of cooperative object transportation for a team of UVMSs in a constrained workspace involving static obstacles. First, for case when the robots are equipped with appropriate force/torque sensors at its end effector we have proposed a decentralized impedance control scheme with the coordination relying solely on implicit communication arising from the physical interaction of the robots with the commonly grasped object. Second, for case when the robots are not equipped with force/torque sensor at it end effector, we have proposed a decentralized predictive control approach which takes into account constraints that emanate from control input saturation as well kinematic and representation singularities. Finally, numerical simulations performed in MATLAB and ROS environments, along with extensive real-time experiments conducted with available Control Systems Lab (CSL) robotic equipment, demonstrate and verify the effectiveness of the claimed results.

Place, publisher, year, edition, pages
National Technical University of Athens , 2018. , p. 253
Keywords [en]
Marine robotics, Robotics, Underwater Vehicle Manipulator Systems, Cooperative manipulations, Visual servoing, Nonlinear Model Predictive Control, Autonomous Underwater Vehicles
National Category
Robotics
Research subject
Industrial Information and Control Systems; Vehicle and Maritime Engineering
Identifiers
URN: urn:nbn:se:kth:diva-251323OAI: oai:DiVA.org:kth-251323DiVA, id: diva2:1315117
Supervisors
Note

QC 20190514

Available from: 2019-05-14 Created: 2019-05-11 Last updated: 2019-05-14Bibliographically approved

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CiteExportLink to record
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