Optimization of LQR weight matrix to control three degree of freedom quadcopter

Muhammed İçen, Abdullah Ateş, C. Yeroğlu
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引用次数: 4

Abstract

In this study, Q and R weight matrices of a Linear Quadratic Regulator (LQR) were optimized to control three-degree-of-freedom four-rotor Quadrocopter system (3 DOF Hover). The weighted matrices, obtained by Darwinian Particle Swarm Optimization (DPSO) and Fractional Order Darwinian Particle Swarm Optimization (FODPSO) methods, have been tested on the simulation model of Quadrocopter. The weight matrices, which provide good control in simulation, were run in real time on the 3 DOF Hover prototype and the effects on control performance were examined.
LQR权矩阵优化控制三自由度四轴飞行器
针对三自由度四旋翼悬停系统,优化了线性二次型调节器(LQR)的Q权矩阵和R权矩阵。利用达尔文粒子群优化(DPSO)和分数阶达尔文粒子群优化(FODPSO)方法得到的加权矩阵,在四旋翼飞行器仿真模型上进行了验证。在三自由度悬停样机上实时运行权值矩阵,验证了权值矩阵对悬停样机控制性能的影响。
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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