Unmanned aerial vehicle trajectory design and power distribution method based on near-end strategy optimization
The invention discloses an unmanned aerial vehicle trajectory design and power distribution method based on near-end strategy optimization. The method comprises the steps of obtaining a current environment state; according to the standard deviation and a mean value output by a strategy network in a...
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Format | Patent |
Language | Chinese English |
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20.12.2022
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Abstract | The invention discloses an unmanned aerial vehicle trajectory design and power distribution method based on near-end strategy optimization. The method comprises the steps of obtaining a current environment state; according to the standard deviation and a mean value output by a strategy network in a preset PPO algorithm network, constructing a random variable obeying Gaussian distribution, selecting an action and storing an action selection probability, and when the action exceeds a preset acceleration upper limit, performing corresponding adjustment; when the execution of the updated action violates the constraint condition, making corresponding adjustment; each user randomly moves to a new position, calculates a system outage probability and current energy consumed by the unmanned aerial vehicle, further obtains an award, takes a current environment state, a current action, a current action selection probability and a current award as a group of data and stores the data into a preset buffer area, and when th |
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AbstractList | The invention discloses an unmanned aerial vehicle trajectory design and power distribution method based on near-end strategy optimization. The method comprises the steps of obtaining a current environment state; according to the standard deviation and a mean value output by a strategy network in a preset PPO algorithm network, constructing a random variable obeying Gaussian distribution, selecting an action and storing an action selection probability, and when the action exceeds a preset acceleration upper limit, performing corresponding adjustment; when the execution of the updated action violates the constraint condition, making corresponding adjustment; each user randomly moves to a new position, calculates a system outage probability and current energy consumed by the unmanned aerial vehicle, further obtains an award, takes a current environment state, a current action, a current action selection probability and a current award as a group of data and stores the data into a preset buffer area, and when th |
Author | YAN ZHI OUYANG BO LIU JINGLUN LU YUANYUAN MAO JIANXU |
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DocumentTitleAlternate | 一种基于近端策略优化的无人机轨迹设计和功率分配方法 |
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Snippet | The invention discloses an unmanned aerial vehicle trajectory design and power distribution method based on near-end strategy optimization. The method... |
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Title | Unmanned aerial vehicle trajectory design and power distribution method based on near-end strategy optimization |
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