Zamira Amirova, a 2nd-year student of the Department of Journalism and Social Sciences at the Faculty of History, Economics, and Law, achieved outs Read more
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Development of an on-board control system of an autonomous unmanned underwater vehicle, optimal in terms of energy consumption
Priority area: National security and defense
Project manager: Gerasimova Yu.V., Ph.D.
Project executors: Gerasimova Yu.V., Ph.D., Ivel V.P., Ph.D., Avdeev V.N., Ph.D., Moldakhmetov S.S., Master of Technical sciences, doctoral candidate PhD, Petrov P.A., master of technical sciences, doctoral candidate PhD.
Terms of execution: 2019-2021
Amount of financing: 105,000,000 tenge.
Project goal: Development of a control system for an autonomous unmanned underwater vehicle, as a carrier of special-purpose equipment, ensuring high accuracy when moving and positioning it at a given depth in conditions of external interference from the environment, minimizing energy costs and increasing the duration of autonomous navigation.
Expected results: Development of a computer simulating complex-stand designed to study the operating modes of the AUV control system, its debugging and diagnostics in real time, will reduce the time and cost of developing modern underwater robotic systems intended for military purposes. Obtaining a patent for a utility model.
Description of the project: In recent years, a significant number of autonomous unmanned underwater vehicles (AUVs) have been created in various countries holding a leading position in the field of marine technology to solve a wide range of scientific and applied problems in marine areas.
There is a need for the development and implementation of technologies for the development and creation of underwater robotics in the Republic of Kazakhstan.
Project objectives:
−application of the parametric identifier of nonlinear hydrodynamic parameters of the AUV in order to optimize control processes;
−development of a dual-processor on-board control system based on 32-bit ARM processors for the implementation of algorithms for parallel signal processing;
−development of a hardware and software bench that allows for semi-natural tests of the control system, including sensors and a complex of electromechanical, hydraulic and pneumatic actuators.