CN-121973979-A - Intelligent multi-adaptation solar unmanned aerial vehicle energy autonomous control system

CN121973979ACN 121973979 ACN121973979 ACN 121973979ACN-121973979-A

Abstract

The invention provides an intelligent multi-adaptation solar unmanned aerial vehicle energy autonomous control system, which relates to the technical field of unmanned aerial vehicle charge and discharge control and comprises a solar energy acquisition module, an energy storage module, an energy conversion module, a load power supply module, an environment sensing module, a flight state monitoring module, an intelligent decision module and a control execution module, wherein the solar energy acquisition module is electrically connected with the energy conversion module and is used for acquiring solar energy and outputting direct-current electric energy, the energy conversion module is respectively electrically connected with the energy storage module and the load power supply module and is used for converting electric energy voltage and distributing electric energy, and the intelligent multi-adaptation solar unmanned aerial vehicle energy autonomous control system is provided for solving the problem of insufficient energy acquisition adaptability in the existing solar unmanned aerial vehicle energy management system.

Inventors

YOU CHUN
YANG HAOYUE
YOU FENG

Assignees

上海捷翔航空技术有限公司

Dates

Publication Date: 20260505
Application Date: 20251230

Claims (10)

1. The intelligent multi-adaptation solar unmanned aerial vehicle energy autonomous control system is characterized by comprising a solar energy acquisition module, an energy storage module, an energy conversion module, a load power supply module, an environment sensing module, a flight state monitoring module, an intelligent decision module and a control execution module; The solar energy collecting module is electrically connected with the energy conversion module and is used for collecting solar energy and outputting direct-current electric energy; the energy conversion module is respectively and electrically connected with the energy storage module and the load power supply module and is used for converting electric energy voltage and distributing electric energy; The environment sensing module is in data connection with the intelligent decision module and is used for collecting environment data and transmitting the environment data to the intelligent decision module; The flight state monitoring module is in data connection with the intelligent decision module and is used for acquiring flight state data and transmitting the flight state data to the intelligent decision module; The intelligent decision module is in instruction connection with the control execution module and is used for generating a self-adaptive control strategy and transmitting instructions by adopting a reinforcement learning algorithm based on the received environmental data and flight state data; The control execution module is respectively connected with the solar energy collection module, the energy conversion module, the energy storage module and the load power supply module in a control way and is used for executing a self-adaptive control strategy to adjust the working state of each module so as to realize closed-loop autonomous control of energy collection, conversion, storage and power supply.
2. The intelligent multi-adaptation solar unmanned aerial vehicle energy autonomous control system of claim 1, wherein the solar energy collection module comprises a solar cell array, an attitude adjustment mechanism, and a status monitoring unit; The solar cell array is mechanically connected with the gesture adjusting mechanism and is used for converting solar energy into direct-current electric energy and outputting the direct-current electric energy to the energy conversion module through electric connection; the gesture adjusting mechanism is in control connection with the control executing module and is used for receiving an adjusting instruction in the self-adaptive control strategy to adjust the gesture angle of the solar cell array so as to optimize the illumination receiving efficiency; the state monitoring unit is connected with the solar cell array sensor and is used for monitoring voltage, current and temperature data in real time and transmitting the data to the control execution module through data connection so as to support posture adjustment decision.
3. The intelligent multi-adaptation solar unmanned aerial vehicle energy autonomous control system of claim 2, wherein the attitude adjustment mechanism comprises a rotating pan-tilt, a drive motor, and an angle sensor; The rotating cradle head is fixedly connected with the solar cell array and used for bearing and rotating the solar cell array; the driving motor is in transmission connection with the rotating cradle head and is used for providing a rotating moment according to an instruction of the control execution module so as to adjust the attitude angle; The angle sensor is connected with the rotary cradle head and is used for detecting the current attitude angle and transmitting the current attitude angle to the control execution module through feedback connection to form closed-loop control of attitude adjustment.
4. The intelligent multi-adaptation solar drone energy autonomous control system of claim 1, wherein the energy storage module includes a main battery unit, a backup battery unit, a status monitoring unit, and a switching circuit; the main battery unit is in charging connection with the energy conversion module and is used for storing electric energy; the standby battery unit is in charging connection with the energy conversion module and is used for storing electric energy; the state monitoring unit is respectively connected with the main battery unit and the standby battery unit sensor and is used for collecting voltage, current and temperature data and transmitting the data to the control execution module through data connection; The switching circuit is respectively and electrically connected with the main battery unit, the standby battery unit and the load power supply module and is used for switching the power supply under the instruction of the control execution module so as to realize seamless switching between the main battery unit and the standby battery unit.
5. The intelligent multi-adaptation solar unmanned aerial vehicle energy autonomous control system of claim 1, wherein the energy conversion module comprises a DC-DC converter, a conversion controller, and an efficiency monitoring unit; the DC-DC converter is connected with the input of the solar energy collection module, and is used for converting the input direct current into target voltage and outputting the target voltage to the energy storage module or the load power supply module through the electric connection; the conversion controller is in control connection with the control execution module and is used for receiving an adjustment instruction in the self-adaptive control strategy to modify conversion parameters; the efficiency monitoring unit is connected with the DC-DC converter sensor and is used for monitoring the conversion efficiency and feeding back the conversion efficiency to the control execution module through data connection so as to realize the dynamic optimization of conversion parameters.
6. The intelligent multi-adaptation solar unmanned aerial vehicle energy autonomous control system of claim 1, wherein the intelligent decision module comprises a data fusion unit, an energy prediction unit, and a policy generation unit; The data fusion unit is respectively connected with the environment sensing module and the flight state monitoring module in a data way, and is used for integrating the environment data and the flight state data to form a unified data set and transmitting the unified data set to the energy prediction unit through an internal data stream; The energy prediction unit is connected with the internal data flow of the data fusion unit and is used for analyzing the unified data set by adopting a long-short-period memory network algorithm and predicting energy demand and environmental change, and transmitting a prediction result to the strategy generation unit through the internal data flow; The strategy generation unit is connected with the internal data flow of the energy prediction unit, and is used for generating an adaptive control strategy based on a prediction result by adopting a genetic algorithm and transmitting the adaptive control strategy to the control execution module through instruction connection.
7. The intelligent multi-adaptation solar unmanned aerial vehicle energy autonomous control system of claim 1, wherein the control execution module comprises an acquisition control unit, a conversion control unit, a storage control unit, and a power supply control unit; The acquisition control unit is in control connection with the solar energy acquisition module and is used for executing an attitude adjustment instruction in the self-adaptive control strategy; The conversion control unit is in control connection with the energy conversion module and is used for executing a conversion parameter adjustment instruction in the self-adaptive control strategy; The storage control unit is in control connection with the energy storage module and is used for executing a storage switching instruction in the self-adaptive control strategy; the power supply control unit is in control connection with the load power supply module and is used for executing a power supply distribution instruction in the self-adaptive control strategy; The acquisition control unit, the conversion control unit, the storage control unit and the power supply control unit are respectively connected with an internal bus of the intelligent decision module and are used for receiving the self-adaptive control strategy instruction and feeding back the execution state so as to realize coordination of control flow and data flow.
8. The control method for an intelligent multi-adaptation solar unmanned aerial vehicle energy autonomous control system according to any of claims 1 to 7, comprising the steps of: S1, an environment sensing module collects environment data and transmits the environment data to a data fusion unit of an intelligent decision module through data connection, and a flight state monitoring module collects flight state data and transmits the flight state data to the data fusion unit through data connection; s2, integrating environment data and flight state data by a data fusion unit to form a unified data set, transmitting the unified data set to an energy prediction unit through an internal data stream, analyzing the unified data set by the energy prediction unit through a long-short-term memory network algorithm, predicting energy requirements and environment changes, transmitting a prediction result to a strategy generation unit through the internal data stream, generating a self-adaptive control strategy by the strategy generation unit through a genetic algorithm based on the prediction result, and transmitting the self-adaptive control strategy to a control execution module through instruction connection; S3, an acquisition control unit of the control execution module executes an adaptive control strategy to adjust the posture of the solar energy acquisition module, and a conversion control unit executes the adaptive control strategy to adjust the parameters of the energy conversion module; S4, a storage control unit of the control execution module executes an adaptive control strategy according to the data fed back by a state monitoring unit of the energy storage module, and distributes electric energy to the energy storage module for storage or directly supplies power to a load power supply module S5, a state monitoring unit of the energy storage module collects data and feeds the data back to the intelligent decision module through data connection, so that the dynamic adjustment of the self-adaptive control strategy and the energy autonomous control are realized.
9. The control method corresponding to the intelligent multi-adaptive solar unmanned aerial vehicle energy autonomous control system according to claim 8, wherein in the step S3, the acquisition control unit rotates the cradle head by controlling the driving motor connected with the driving gesture adjusting mechanism based on the illumination prediction data in the adaptive control strategy, and the angle sensor transmits the current gesture angle data to the control executing module by feedback connection, so as to form closed-loop control to maximize the solar energy acquisition efficiency.
10. The control method corresponding to the intelligent multi-adaptation solar unmanned aerial vehicle energy autonomous control system according to claim 8, wherein in the step S4, the storage control unit receives voltage and temperature data transmitted by the state monitoring unit through the data connection, and combines energy demand prediction information in the adaptive control strategy, switches the main battery unit or the standby battery unit through the control connection activation switching circuit, and simultaneously the power supply control unit adjusts the output proportion of the load power supply module through the control connection, so as to realize energy distribution optimization.

Description

Intelligent multi-adaptation solar unmanned aerial vehicle energy autonomous control system Technical Field The invention relates to the technical field of unmanned aerial vehicle charge and discharge control, in particular to an intelligent multi-adaptation solar unmanned aerial vehicle energy autonomous control system. Background Along with the continuous expansion of solar unmanned aerial vehicle applications in the fields of long-endurance reconnaissance, environment monitoring, disaster relief and the like, higher requirements are put forward for an energy management system. Particularly, continuous power supply in complex weather, energy optimization in dynamic flight and improvement of system reliability are focuses of industry attention, for example, plateau reconnaissance needs stable solar energy collection to support a few hours of flight, city patrol needs to adapt to illumination fluctuation to maintain sensor power supply, and forest rescue needs to be stored efficiently to cope with low light environment. Currently, solar unmanned energy technology has been widely applied to photovoltaic cell integration and basic energy conversion circuits. However, existing solar unmanned energy management systems face the following key technical challenges in fulfilling the above needs: The energy collection adaptability is insufficient, the traditional system mostly adopts a fixed-posture solar cell panel, and the angle cannot be adjusted in real time according to illumination change, so that the collection efficiency is low under the condition of cloudiness or low illumination, the average utilization rate is only 60% -70%, and the long-term autonomous flight requirement is difficult to meet. The energy storage and distribution mechanism is single, the existing machine type usually depends on a single battery unit and fixed conversion parameters, intelligent prediction and switching functions are not available, overcharge or undersupply phenomena are easy to occur when the flight state fluctuates, the system stability is reduced, and the false alarm or interruption rate is as high as 15%. The environment and state fusion decision is lacking, most of the existing control is passive response type, such as simple threshold triggering, the multi-source data cannot be integrated to perform prospective optimization, the overall energy loss rate exceeds 10%, and the reliability and the cruising ability of the unmanned aerial vehicle under the dynamic environment are limited. An intelligent multi-adaptation solar unmanned aerial vehicle energy autonomous control system is needed to solve the above-mentioned problems. Disclosure of Invention Technical problem to be solved Aiming at the defects of the prior art, the invention provides an intelligent multi-adaptation solar unmanned aerial vehicle energy autonomous control system, which solves the problems in the prior art. Technical proposal The intelligent multi-adaptation solar unmanned aerial vehicle energy autonomous control system comprises a solar energy acquisition module, an energy storage module, an energy conversion module, a load power supply module, an environment sensing module, a flight state monitoring module, an intelligent decision module and a control execution module; The solar energy collecting module is electrically connected with the energy conversion module and is used for collecting solar energy and outputting direct-current electric energy; the energy conversion module is respectively and electrically connected with the energy storage module and the load power supply module and is used for converting electric energy voltage and distributing electric energy; The environment sensing module is in data connection with the intelligent decision module and is used for collecting environment data and transmitting the environment data to the intelligent decision module; The flight state monitoring module is in data connection with the intelligent decision module and is used for acquiring flight state data and transmitting the flight state data to the intelligent decision module; The intelligent decision module is in instruction connection with the control execution module and is used for generating a self-adaptive control strategy and transmitting instructions by adopting a reinforcement learning algorithm based on the received environmental data and flight state data; The control execution module is respectively connected with the solar energy collection module, the energy conversion module, the energy storage module and the load power supply module in a control way and is used for executing a self-adaptive control strategy to adjust the working state of each module so as to realize closed-loop autonomous control of energy collection, conversion, storage and power supply. Preferably, the solar energy collection module comprises a solar cell array, an attitude adjusting mechanism and a state monitoring unit; The solar cell array is mechanically conn