Xusheng Hu scite author profile

In order to improve the effect of obstacle avoidance, a PID control algorithm combined with genetic algorithm is proposed. By establishing the mathematical model of UAV, the auxiliary control system of UAV is analyzed, and then the control system is optimized by genetic algorithm. Taking STM32 as the control platform, the obstacle avoidance experiment was carried out by building the experimental platform. The experimental results show that the algorithm can avoid obstacles effectively.

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Design of Intelligent Clothes Hanger System Based on Rainfall Data Analysis

Tao¹,

Zhang

et al. 2020

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Xusheng Hu

Research on UAV Balance Control Based on Expert-fuzzy Adaptive PID

Research on Output Characteristics of Solar Photovoltaic Power Generation MPPT

An obstacle avoidance design of UAV based on genetic algorithm

Design of Intelligent Clothes Hanger System Based on Rainfall Data Analysis

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