Remotely operated underwater vehicles (ROVs) play an important role in unde
rwater technology. ROVs have been used for the past three decades in the of
f-shore oil industry. They are essential at depths were human diving is imp
ractical. This is the case of the Brazilian Marlim oil field, which has wat
er wells deeper than 1500 m. ROVs are used for constructing production prod
uction facilities, for inspection, and for investigation.
ROVs are linked to a surface vessel by a tether cable that powers the ROV a
nd transmits command signals and video images. Human pilots, aboard the sur
face vessel, usually operate the ROV through joysticks that command ROV thr
usters. Video cameras and other sensors (e.g., depth-meter and compass) are
the usual on-board navigation instruments. Acoustic systems (long baseline
and short baseline) are often employed as auxiliary navigation systems. In
many operations it is required that the ROV keeps its position close to so
me underwater structure (station keeping). This is usual in intervention op
erations involving ROV manipulators (e.g., opening a valve). Those operatio
ns are time consuming, difficult and tedious for the ROV pilot. The multiva
riable (six degree-of-freedom) and nonlinear nature of the ROV dynamics mak
es manual station keeping difficult. The pilot must continuously correct th
e ROV position to counteract the water current and the reaction forces caus
ed by the motion of the manipulator.
In this article we describe an automatic dynamic positioning system for ROV
s (DPSROV) that is based on a mechanical passive arm (PA) measurement syste
m. The PA system was selected from a group of candidate measurement systems
, including long baseline, short baseline, inertial, speed logs, and taut-w
ire. The selection was based on several relevant criteria; namely, precisio
n, construction cost, and operational facilities. We describe the DPSROV ha
rdware and software; outline the dynamic model of the ROV and the position
control system; discuss a conventional P-PI linear controller and the varia
ble structure model-reference adaptive controller (VS-MRAC), which were imp
lemented in order to show that the DPSROV can execute control algorithms of
such diverse complexities and resource requirement; and present some exper
imental results obtained with the DPSROV. In a comparative study [1], we ha
ve concluded that the PA is the most reliable system for precise ROV dynami
c positioning in a short-range workspace (few meters).