Attitude Control of UAVs with Search Optimization and Disturbance Rejection Strategies
نویسندگان
چکیده
This study aims to achieve rapid and stable control of quadrotor unmanned aerial vehicles’ (UAVs) attitude by using an Active Disturbance Rejection Control (ADRC) controller. Addressing the challenge numerous complex ADRC parameters, optimization algorithms are employed for parameter tuning. paper draws on group mechanism Ant Colony Optimization (ACO) algorithm innovatively introduces population search into Beetle Antennae Search (BAS) algorithm. The refined is then applied tune reducing complexity human intervention while enhancing intelligence efficiency. advanced exhibits exceptional global capacity, convergence speed, stability. Ultimately, flight simulation experimental results suggest that optimized controller demonstrates superior antidisturbance capabilities.
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ژورنال
عنوان ژورنال: Mathematics
سال: 2023
ISSN: ['2227-7390']
DOI: https://doi.org/10.3390/math11173794