Predictive control method of ship hybrid power hybrid model based on hybrid logic dynamic theory

Abstract

The purpose of the present invention is to provide a predictive control method for a hybrid hybrid model of a ship based on the dynamic theory of hybrid logic. Under the framework of dynamic modeling of hybrid logic, a hybrid hybrid system model of the ship is established according to system physical laws, logic rules and operational constraints; Hybrid model prediction optimization control based on hybrid system, the error weight matrix and control weight matrix in the conventional performance indicators remain unchanged during the control process. In order to meet different control requirements such as rapidity and robustness in different periods, a prediction based on operating conditions is proposed. The neural network learning variable weight matrix hybrid model prediction control method; according to the energy optimization target, the optimal distribution combination of the power of the hybrid ship is determined, so as to accurately manage the distributed power; the invention can effectively solve the oscillation problem caused by the mode switching, and effectively Improve the control effect of the energy management strategy and further improve the fuel economy of the ship.

Description

technical field [0001] The invention relates to a ship energy management method, in particular to a ship power prediction control method. Background technique [0002] The hybrid ship is a multi-power source system, and the overall system performance can be improved and improved through the complementarity of the characteristics of multiple power sources; the energy management control strategy is the key technology to achieve optimal performance, and is the core component of the energy management system. The degree of perfection of the design directly determines the economy, power and emission of the whole system; the main goal of energy management is to rationalize the various power sources according to the system operating characteristics and real-time working condition distribution under the premise of satisfying the ship's power performance. Allocating and coordinating control to make each equipment operate efficiently and achieve the best performance. [0003] At prese...

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Problems solved by technology

[0003] At present, the energy management strategy actually applied in the hybrid power of ships is mainly based on logic threshold and fuzzy reasoning energy management strategy; the rule-based energy management control strategy of the hybrid power system mainly focuses on the optimal power distribution and working mode of each power source Fuzzy rules are more robust than logical thresholds, but the thresholds and membership function settings involved in the above two methods are too dependent on expert experience, and it is difficult to obtain optimal control effects in real time. Cause shock problem

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