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008 200807s2020 si | s |||| 0|eng d
020 _a9789811565113
_9978-981-15-6511-3
024 7 _a10.1007/978-981-15-6511-3
_2doi
050 4 _aTJ212-225
050 4 _aTJ210.2-211.495
072 7 _aTJFM
_2bicssc
072 7 _aTEC007000
_2bisacsh
072 7 _aTJFM
_2thema
082 0 4 _a629.8
_223
100 1 _aChin, Cheng Siong.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aBenchmark Models of Control System Design for Remotely Operated Vehicles
_h[electronic resource] /
_cby Cheng Siong Chin, Michael Wai Shing Lau.
250 _a1st ed. 2020.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2020.
300 _aXII, 140 p. 141 illus., 61 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Added Mass Computation for Control of An Open-Frame Remotely-Operated Vehicle: Application using WAMIT and MATLAB -- Modeling and Testing of Hydrodynamic Damping Model for a Complex-Shaped Remotely-Operated Vehicle for Control -- Robust and Decoupled Cascaded Control System of Underwater Robotic Vehicle for Stabilization and Pipeline Tracking -- Supervisory Cascaded Controllers Design: Experiment Test on a Remotely-Operated Vehicle -- Systematic Modeling and Model-based Simulation of a Remotely-Operated Vehicle using MATLAB and Simulink -- Experimental Validation of Open-Frame ROV model for Virtual Reality Simulation and Control -- Robust Genetic Algorithm and Fuzzy Inference Mechanism Embedded in Sliding-Mode Controller for Uncertain Underwater Robot.
520 _aThis book is intended to meet the needs of those who seek to develop control systems for ROVs when there is no model available during the initial design stage. The modeling, simulation and application of marine vehicles like underwater robotic vehicles (URVs) are multidisciplinary, and combine mathematical aspects from various engineering disciplines. URVs such as remotely operated vehicle (ROVs) are used for a wide range of applications such as exploring the extreme depths of our ocean, where a hard-wired link is still required. Most ROVs operate in extreme environments with uncertainties in the model prior to control system design. However, the method involved extensive testing before the system model could be used for any control actions. It has been found that the range of error can be extensive and uncertain in actual, continuously varying conditions. Hence, it is important to address the problem of reliance on model testing using different modeling approaches. In this book, approaches such as WAMIT, ANSYS-CFX, STAR CCM+, MATLAB and Simulink are used to model parameters for ROVs. A few benchmark models are provided, allowing researchers and students to explore and test different control schemes. Given its scope, the book offers a valuable reference guide for postgraduate and undergraduate students engaged in modeling and simulation for ROV control. .
650 0 _aControl engineering.
650 0 _aRobotics.
650 0 _aAutomation.
650 0 _aOceanography.
650 1 4 _aControl, Robotics, Automation.
650 2 4 _aRobotics.
650 2 4 _aOcean Sciences.
700 1 _aLau, Michael Wai Shing.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811565106
776 0 8 _iPrinted edition:
_z9789811565120
776 0 8 _iPrinted edition:
_z9789811565137
856 4 0 _uhttps://doi.org/10.1007/978-981-15-6511-3
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c174093
_d174093