基于TLBO算法的FLPID优化:应用于四旋翼无人机系统

2023 International Conference on Advances in Electronics, Control and Communication Systems (ICAECCS) Pub Date : 2023-03-06 DOI:10.1109/ICAECCS56710.2023.10104893

Stiti Chafea, Kara Kamel, Benrabah Mohamed

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引用次数: 0

摘要

本文提出了一种采用基于教学学习的优化算法(FLPID-TLBO)的优化模糊PID控制器来控制四旋翼系统。为了评估该控制器的性能，将FLPID- tlbo与模糊逻辑PID (FLPID)控制器进行了比较研究。利用四旋翼飞行器的动力学模型，在MATLAB软件下进行了多次仿真。实验结果表明，所提出的FLPID-TLBO控制器具有较好的收敛速度和跟踪精度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Optimized FLPID using TLBO algorithm: Applied to Quadrotor (UAV) system

In this paper, to control the quadrotor system, an optimized Fuzzy Logic PID controller employed Teaching Learning Based optimization algorithm (FLPID-TLBO) is suggested. In order to evaluate the performances of this controller, a comparison study between the FLPID-TLBO and a Fuzzy Logic PID (FLPID) controller is performed. Using the dynamic model of the quadrotor, several simulations are conducted under MATLAB software. The outcomes attained show that the suggested FLPID-TLBO controller is efficient in convergence speed and tracking accuracy.

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2023 International Conference on Advances in Electronics, Control and Communication Systems (ICAECCS)

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