Deep sea Argo profile buoy energy management method based on HGP-MPC

Abstract

The invention relates to a deep sea Argo profile buoy energy management method based on HGP-MPC, and the method comprises the steps: building a probability distribution model based on HGP, carrying out the energy consumption estimation of an uncertain sea condition in a single-profile operation process of a buoy, inputting a power prediction result into an energy management strategy based on MPC after the accurate prediction of the needed power of the Argo profile buoy, and achieving the energy management of the Argo profile buoy. And carrying out energy management rolling optimization on the buoy in the prediction time domain by combining the residual electric quantity of the battery of the buoy. According to the scheme, a heterovariance Gaussian process regression model is adopted for buoy load demand power prediction, energy management research is carried out based on an uncertainty quantification result, the environmental adaptability of an energy management strategy is improved, a model prediction control method is adopted for buoy power distribution, a prediction time domain is set, rolling optimization is carried out, and real-time decision making is achieved. And a power prediction algorithm is combined with a real-time energy management strategy, so that the environmental adaptability of the energy management strategy is improved, the real-time performance is ensured, and the method has relatively high practical application and popularization values.

Description

technical field [0001] The invention relates to the field of deep-sea Argo profile buoy energy management, in particular to a deep-sea Argo profile buoy energy management method based on HGP-MPC. Background technique [0002] The energy problem is one of the common problems encountered by underwater vehicles. The deep-sea detection conditions are complex and changeable. For buoys, the density, temperature and speed of the buoy at different depths have a greater impact on the energy consumption of the buoy to complete the single-profile movement. obvious. Argo profiling buoy occupies an important position in the field of deep-sea exploration due to its excellent real-time, continuous and efficient characteristics. [0003] There are many factors that affect the energy consumption of the buoy. The flight time and service life of the Argo profile buoy are greatly limited by the capacity of the power supply system and the energy management strategy. The buoy cannot actively ad...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the defects that existing energy management strategies are difficult to adapt to changing sea conditions and meet real-time application requirements, the present invention proposes an energy ma

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