基于遗传算法的四轴飞行器滑模控制参数整定方法

Vanessa Orosco, D. Chávez, O. Camacho, J. Aguilar
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引用次数: 2

摘要

本文提出了一种基于遗传算法的滑模控制(SMC)参数整定方法。将遗传算法应用于四轴飞行器的姿态控制参数和高度参数的整定,同时考虑了滑动面PD的所有情况。遗传算法的目标是提供一组参数,使SMC的积分平方误差(ISE)最小化。采用遗传算法后,SMC得到了改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A parameter tuning approach of the Sliding Mode Control for a Quadcopter based on Genetic Algorithms
In this work is presented a parameter tuning approach of a Sliding Mode Control (SMC) using Genetic Algorithms (GA). The GA are used for the tuning of the parameters of the Orientation Control and Height of quadcopter, considering all the cases in a sliding surface PD. The objective of GA is to provide a set of parameters that minimizes the integral square error (ISE) of the SMC. The SMC is improved when it is used the GA.
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