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Decentralized MRAC with Integral Action for Attitude Control of a Quadrotor UAV

机译:分散的MRAC对态度控制的态度控制

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In this paper, a decentralized model reference adaptive control (MRAC) with integral action scheme is proposed in order to achieve the attitude control task for a quadrotor unmanned aerial vehicle (UAV). The nonlinear model for the quadrotor UAV is decomposed in the rotational and altitude systems. Then, a second order subsystem for each attitude angle is extracted from the rotational system dynamics. Thus, under the assumption that a linear-in-the-parameters model for each subsystem can be defined, each subsystem is represented by a parameterized model from which a MRAC with integral action is designed. A PID controller is implemented for altitude control. The performance of our decentralized adaptive control with integral action scheme is validated via simulation results taking into account parametric variations, noise in the measurements and external perturbations.
机译:本文提出了一种具有积分作用方案的分散模型参考自适应控制(MRAC),以实现四轮车无人驾驶飞行器(UAV)的姿态控制任务。四电场UAV的非线性模型在旋转和高度系统中分解。然后,从旋转系统动态提取每个姿态角度的二阶子系统。因此,在假设可以定义每个子系统的线性参数模型的情况下,每个子系统由参数化模型表示,其中设计了具有积分动作的MRAC。 PID控制器用于高度控制。通过模拟结果验证了我们分散的自适应控制与积分动作方案的性能,考虑了参数变化,测量和外部扰动的噪声。

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