A firefly optimization fault-tolerant control algorithm for 4500m human occupied vehicle

Xiaotong Yan, Daqi Zhu, W. Zhou
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Abstract

In this paper, a new fault-tolerant control method for 4500m human occupied vehicle thrusters based on firefly algorithm is proposed. The firefly algorithm has a simple structure and few parameters. Meanwhile, it also has fast convergence and good global optimization search ability. To show the efficiency of firefly algorithm, the fault-tolerant control method based on particle swarm optimization is studied as a comparison research. Then, simulations results illustrate the performance of the proposed firefly optimization thruster fault-tolerant control method for 4500m human occupied vehicle is effective and advantageous.
4500米载人车辆萤火虫优化容错控制算法
提出了一种基于萤火虫算法的4500米载人飞行器推进器容错控制新方法。萤火虫算法结构简单,参数少。同时具有快速收敛和良好的全局优化搜索能力。为了证明萤火虫算法的有效性,对基于粒子群优化的容错控制方法进行了对比研究。仿真结果表明,所提出的萤火虫优化推力器容错控制方法对4500米载人飞行器是有效的、有利的。
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