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Fuzzy State Feedback for Attitude Stabilization of Quadrotor

机译:模糊状态反馈态度稳定的四轮压力机构

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摘要

In this paper, we propose an application of an algorithm, based on the T-S (Takagi-Sugeno) technique, to stabilize a quadrotor helicopter. After giving the nonlinear model of the vehicle, its representation by a T-S fuzzy model is discussed. Following this, a fuzzy controller is synthesized, which will guarantee the stability of the quadrotor. The proposed T-S controller is designed with measurable premise variables and the conditions of stability are given in terms of linear matrix inequality (LMI). Simulations and real-time experiments using a test-bed platform prove the performance of a PDC control algorithm to stabilize the vehicle robustly at a desired set point.
机译:在本文中,我们提出了一种基于T-S(Takagi-Sugeno)技术的算法的应用,以稳定四轮电机直升机。 在给予车辆的非线性模型之后,讨论了其通过T-S模糊模型的表示。 在此之后,合成了模糊控制器,这将保证四轮电机的稳定性。 所提出的T-S控制器采用可测量的前提变量设计,并且在线性矩阵不等式(LMI)方面给出了稳定性的条件。 使用测试床平台的模拟和实时实验证明了PDC控制算法的性能,以在所需设定点处稳定地稳定车辆。

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