基于多目标差分进化的飞控系统鲁棒FOPID优化设计

Parvesh Kumar, Jetesh Raheja
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引用次数: 3

摘要

元启发式算法是求解飞机系统俯仰控制等现实问题中最常用的鲁棒算法。本文将差分进化技术应用于分数阶PID控制器的加权多目标优化设计。该方法得到的优化值已用于飞机系统的俯仰控制,以获得期望的鲁棒响应。本文设计了一个混合灵敏度H∞问题,并用Matlab进行了仿真。研究结果表明,采用多目标微分进化技术设计FOPID比采用微分进化方法进行经典PID整定具有更好的效果。
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Optimal design of robust FOPID for the flight control system using multi-objective Differential Evolution
Metaheuristics algorithms are the most popular and robust algorithms for the optimization of the real world problems like pitch control of an aircraft system. This paper introduces Differential Evolution technique for the weighted multi-objective optimization based designing of the fractional order PID controller. The optimized values obtained from the techniques have been implemented for the Pitch control of an aircraft system to obtain the desired robust response. In this paper a mixed sensitivity H∞ problem is designed and simulated using Matlab. It has been shown that the design of FOPID using multi-objective Differential Evolution technique gives better results than tuning of classical PID using Differential Evolution.
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