Unmanned aerial vehicle hybrid propulsion system energy management and control method based on flight data

Abstract

The invention provides an unmanned aerial vehicle hybrid propulsion system energy management and control method based on flight data, and the method comprises the steps: building a profile diagram ofenergy and power based on the flight historical data of an unmanned aerial vehicle, and dividing a flight stage into finite states through a kernel fuzzy c clustering algorithm; establishing flight mission parameters and flight environment parameters and energy by using a BP neural network based on the historical flight data; establishing an energy prediction model and a required power time sequence model required by each stage of flight according to the mapping relationship between the requirements and the power requirements; carrying out global planning of energy according to the profile diagram, and determining the working mode of the hybrid propulsion system in each stage; in the flight process, according to real-time power requirements of different flight states, achieving optimal control over instantaneous power through efficiency MAP graphs of key subsystems such as an engine, a motor and a power battery. Fusion optimization control over global planning and power instantaneous optimization of hybrid propulsion unmanned aerial vehicle energy is achieved, so that the fuel economy of a hybrid propulsion system in a whole flight mission plane is improved.

Description

technical field [0001] The invention relates to the field of energy management of unmanned aerial vehicles, in particular to an intelligent energy management method of a hybrid propulsion system of unmanned aerial vehicles based on flight data. Background technique [0002] With the development of science and technology, the application space of UAV is more and more extensive. Affected by atmospheric pressure and air temperature, hybrid UAVs solve the problems of high noise, low high-altitude efficiency, slow response, and polluting the environment of pure fuel UAVs, and also solve the problems of pure electric UAVs with short battery life. According to the development idea of ​​green aviation, the hybrid UAV has become the most popular model for current research. [0003] Usually, the intelligent energy management of the hybrid UAV is realized by using the global optimization method to control the power ratio of the engine and the motor. However, the global optimization me...

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Problems solved by technology

[0003]Generally, the intelligent energy management of hybrid unmanned aerial vehicles is to use the global optimization method to control the power ratio of the engine and the motor. more difficult

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