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Design and Implementation of a Hybrid Fuzzy Logic Controller for a Quadrotor VTOL Vehicle

机译:四旋翼垂直起降飞行器混合模糊逻辑控制器的设计与实现

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Helicopters have generated considerable interest in both the control community due to their complex dynamics, and in military community because of their advantages over regular aerial vehicles. In this paper, we present the modeling and control of a four rotor vertical take-off and landing (VTOL) unmanned air vehicle known as quadrotor aircraft. This model has been generated using Newton-Euler equations. In order to control the helicopter, classical PD (proportional derivative) and Hybrid Fuzzy PD controllers have been designed. Although fuzzy control of various dynamical systems has been presented in literature, application of this technology to quadrotor helicopter control is quite new. A quadrotor helicopter has nonlinear characteristics where classical control methods are not adequate especially when there are time delays, disturbances and nonlinear vehicle dynamics. On the other hand, Fuzzy control is nonlinear and it is thus suitable for nonlinear system control. Matlab Simulink has been used to test, analyze and compare the performance of the controllers in simulations. For the evaluation of the autonomous flight controllers, some experiments were also performed. For this purpose, an experimental test stand has been designed and manufactured. This study showed that although, both of the classical PD and the Fuzzy PD controllers can control the system properly, the Fuzzy PD controllers performed slightly better than the classical PD controllers, and have benefits such as better disturbance rejection, ease of building the controllers.
机译:由于其复杂的动态特性,直升机引起了控制界和军事界的极大兴趣,这是因为它们比常规飞行器具有优势。在本文中,我们介绍了一种称为四旋翼飞机的四旋翼垂直起降(VTOL)无人飞行器的建模和控制。该模型是使用牛顿-欧拉方程生成的。为了控制直升机,已经设计了经典的PD(比例导数)和Hybrid Fuzzy PD控制器。尽管文献中已经提出了各种动力学系统的模糊控制,但是该技术在四旋翼直升机控制中的应用还是很新的。四旋翼直升机具有非线性特征,而传统的控制方法尤其在存在时间延迟,干扰和非线性车辆动力学的情况下,非线性控制特征是不够的。另一方面,模糊控制是非线性的,因此适用于非线性系统控制。 Matlab Simulink已用于测试,分析和比较仿真中控制器的性能。为了评估自主飞行控制器,还进行了一些实验。为此目的,已经设计并制造了一个实验测试台。这项研究表明,尽管经典PD控制器和Fuzzy PD控制器都可以正确控制系统,但是Fuzzy PD控制器的性能比经典PD控制器稍好,并且具有诸如更好的抗干扰性,易于构建控制器的优点。

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