Concept of using and modeling of a marine autonomous smart profiler

L.A. Krasnodubets1,2

 1Sevastopol State University, RF, Sevastopol, Universitetskaya St., 33

2 Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28


DOI: 10.33075/2220-5861-2020-3-106-113

UDC 551.46:[681.2:004.31.2]


    The article focuses on the development of technical support in terms of expanding the measuring base and improving marine profilers for operational observation systems as part of a new and developing   scientific and applied field – operational oceanography. The concept of using a marine autonomous intelligent profiler for operational measurements of the thermohaline profile parameters of a stratified ocean environment with a significant reduction in the time to conduct an experiment using smart profiling is presented. At the same time, time savings are achieved due to the flexible control of the high-speed modes of vertical movement of the marine autonomous profiler with adjustable buoyancy. Low profiling speeds avoid significant dynamic   distortions in the measurements obtained from inertial sensors.   However, in a homogeneous environment, after taking measurements, the speed of the profiler can be significantly increased. The purpose of the smart profiler as a mobile data   collection platform is to analyze its own motion and the properties of the surrounding ocean environment and choose, on this basis, a high-speed profiling mode that provides an acceptable level of dynamic distortion in the sensor data   installed on board the measuring equipment. The results of computer simulation of the proposed smart structure in the MATLAB & Simulink environment based on the original mathematical models that make up its    subsystems are presented. We studied the process of “smart” profiling during the transition of the profiler from a cruising speed mode (fast) to a working speed mode (slow), as well as its return  to  cruising speed in a stratified ocean environment. In this case, the behavior strategy of the smart profiler (ensuring the specified accuracy of thermohaline measurements) was implemented by choosing a speed mode based on the analysis of dynamic measurements of its motion parameters and stratification of the profile by density.

Keywords: smart structure, adaptive controller, speed stabilization system, smart profiling, marine profiler, adjustable buoyancy, mathematical model, seawater density, dynamic measurements.

 Full text in PDF(RUS)


  1. The acquisition, calibration and analysis of CTD data. UNESCO Technical Papers in Marine Science. 54. A report of SCOR Working Group 51, 1988. P. 94.
  2. Electronic resource URL: (дата обращения: 16.02.2020).
  3. Electronic resource URL: Eqution_of_Seawater_2010_TEOS-10. (дата обращения:  16.02.2020).
  4. Electronic resource URL: (дата обращения: 16.02.2020).
  5. Yu L., Zhang S., Shang H. Design and research of Argo buoys in China // Marine Technology, 2005. 6. P. 121–129.
  6. Korotaev G.K. Operational oceanography – a new branch of modern oceanological science // Bulletin of the Russian Academy of Sciences, 2018. Vol. 88. No. 7. P. 579–588.
  7. Akhras G. Smart Materials and Structures // Canadian Military Journal. Autumn, 2000. P. 25–31.
  8. Fedorov K.N. Fine thermohaline structure of ocean waters. L. Gidrometeoizdat, 1976. 184 P.
  9. Electronic resource URL:дата обращения: 16.02.2020).
  10. Wang S., Jiang L., He J., Ai X., Tang X. Research of Buoy with Floating Movement. In: Yang D. (eds) Informatics in Control, Automation and Robotics. Lecture Notes in Electrical Engineering. Berlin. Springer, 2011. Vol. 133. P. 733–740.
  11. Krasnodubets L.A., Zaburdaev V.I., Alchakov V.V. Control of sea buoys with profilometers as a method for increasing the representativeness of thermohaline measurements. Motion Models // Marine Hydrophysical Journal. 2012. No. 4. P. 69–79.
  12. Joyce. T.M. The WOCE Hydrographic Programme: A Status Report // WOCE Newsletter, 1988. № 6. Oct.
  13. Electronic resource URL:дата обращения: 16.02.2020).
  14. Wright D.G., Pawlowicz R., McDougall T.J., Feistel R., Marion G.M. Absolute Salinity, “Density Salinity” and the Reference-Composition Salinity Scale: present and future use in the seawater standard TEOS-10 // Ocean Sci., 2011. No 7. P. 1–26.
  15. Stewart Robert H. Introduction To Physical Oceanography. Independent Publishing Platform, 2014. 354 p.
  16. Joyce. T.M. Introduction To the Collection of Expert Reports Compiled for the WHP Programme // WHP Operations and Methods, 1991. July. P. 2–4.
  17. Krasnodubets L.A. Terminal Control in Sea Observation Systems with Mobile Platforms for Data Collection // Journal of Computer and Systems Sciences International, 2008. Vol. 47. № 2. P. 296–307.
  18. Smith Jon M. Mathematical Modeling and Digital Simulation for Engineers and Scientists. Wiley, 1987. May 12. 448 p.
  19. Krasnodubets L.A., Kanov L.N. Mechatronic control system for the floatation of a marine autonomous profiler // Environmental control systems. 2019. Issue. 1 (35). P. 35-40.
  20. Krasnodubets L.A. A method for determining the vertical profile of the density of seawater based on measurements of the parameters of motion of an uncontrolled autonomous probe // Environmental Control Systems. 2017. Issue. 10 (30). P. 8-15.


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