This paper reports single degree of freedom nonlinear dynamic model-based state estimators for the navigation of remotely operated vehicles\u00a0(ROVs) \u2014 unmanned, tethered robots commonly used for underwater commercial and scientific tasks. These methods exploit knowledge of the\u00a0vehicle\u2019s nonlinear dynamics, the forces and moments acting on the vehicle, and disparate position and velocity measurements. The position\u00a0and velocity of the ROV are estimated using two methods: (1) a nonlinear observer (NLO); and (2) an extended Kalman filter (EKF). The\u00a0NLO is derived and its stability proven using Lyapunov techniques. A high-precision 300kHz acoustic positioning system provided a ground\u00a0truth for the laboratory experiments and our results show that both the NLO and EKF position estimates possess lower standard deviations than\u00a0measurements from conventional 12kHz long-baseline systems. A dynamic model sensitivity analysis is included for the laboratory experiments.\u00a0Field experiments obtained with the Jason2 ROV at 2300m depth demonstrate that the NLO and EKF work in the field. These experiments are,\u00a0to the best of our knowledge, the first reported experiments of an NLO and EKF using a nonlinear model of ROV dynamics. The performance\u00a0of the NLO and EKF are compared using the criteria of convergence, accuracy, precision, parameter sensitivity, and robustness to velocity\u00a0measurement outages, and our results show that the NLO provides superior performance. The impact of these results includes more robust state\u00a0estimation for underwater robots and an increased operating range that will provide new capabilities.<\/p>\n","protected":false},"excerpt":{"rendered":"
Nonlinear Dynamic Model-Based State Estimators for Underwater Navigation of Remotely Operated Vehicles. J.C Kinsey, Q. Yang, and J.C. Howland. IEEE Transactions on Control Systems Technology. 22(5), pp.1845-1854, 2014. This paper reports single degree of freedom nonlinear dynamic model-based state estimators for the navigation of remotely operated vehicles\u00a0(ROVs) \u2014 unmanned, tethered robots commonly used for underwater…<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":659,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www2.whoi.edu\/site\/jameskinsey\/wp-json\/wp\/v2\/pages\/706"}],"collection":[{"href":"https:\/\/www2.whoi.edu\/site\/jameskinsey\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www2.whoi.edu\/site\/jameskinsey\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www2.whoi.edu\/site\/jameskinsey\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www2.whoi.edu\/site\/jameskinsey\/wp-json\/wp\/v2\/comments?post=706"}],"version-history":[{"count":3,"href":"https:\/\/www2.whoi.edu\/site\/jameskinsey\/wp-json\/wp\/v2\/pages\/706\/revisions"}],"predecessor-version":[{"id":723,"href":"https:\/\/www2.whoi.edu\/site\/jameskinsey\/wp-json\/wp\/v2\/pages\/706\/revisions\/723"}],"up":[{"embeddable":true,"href":"https:\/\/www2.whoi.edu\/site\/jameskinsey\/wp-json\/wp\/v2\/pages\/659"}],"wp:attachment":[{"href":"https:\/\/www2.whoi.edu\/site\/jameskinsey\/wp-json\/wp\/v2\/media?parent=706"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}