Energy management method for hybrid ships based on model predictive control

Abstract

In view of the problem that it is difficult to achieve real-time optimal control for the traditional hybrid ship control method, the invention presents an energy management method for hybrid ships based on model predictive control by adopting the idea of model predictive control. A Markov model is selected to predict the demanded power of a hybrid ship, and power distribution is optimized with theobjective of minimum fuel consumption in the prediction horizon by using a dynamic programming method based on the principle of model predictive control. The energy management method can improve thefuel economy of hybrid ships, and has good real-time performance.

Description

technical field [0001] The invention relates to the field of energy management of hybrid ships, in particular to an energy management method of hybrid ships based on model predictive control. Background technique [0002] The key technology of a hybrid ship is its energy management method. The purpose is to rationally allocate and coordinate control of various energy sources under the premise of satisfying the ship's dynamic performance, so that each component can operate efficiently. At present, the common energy management methods of hybrid ships at home and abroad mainly include rule-based control methods, including deterministic rule-based control and fuzzy logic control, optimization-based control, including global optimal control and instantaneous optimal control, and intelligent methods. , such as neural network model control, strategies based on genetic algorithms or optimal control algorithms, dynamic programming, etc. The energy optimization control problem of a h...

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Problems solved by technology

The energy optimization control problem of a hybrid ship has the characteristics of multi-objective, multi-constraint, and nonlinearity, and the rule-based control method cannot cope with various operating conditions and dynamic changes in actual ship load requirements, that is, insufficient adaptability, and cannot achieve optimal control ; The method based on global optimization requires knowing all the parameters in the driving process in advance and has a large amount of calculation, so it cannot be applied in the real-time control of the ship; relatively speaking, the control strategy based on instantaneous optimization does not need to obtain the working condition data of the ship in the future , is not constrained by a given cycle condition, the amount of calculation is small, and it is easy to implement

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