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Linear and Extended Kalman Filter Estimation of Pitch and Yaw Angles for 2 DOF Double Dual Twin Rotor Aero-dynamical System

机译:用于2 DOF双双双转子航空动力系统的俯仰和偏航角的线性和扩展卡尔曼滤波器估计

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This paper presents the attitude control for the over-actuated double coaxial dual rotor 2DOF helicopter aerodynamic system (2DOF-HADS), a simplified version of helicopter, to investigate for possible fast dynamic responses using (proportional-Interagor-derivative) PID control algorithm and Extended Kalman Filter (EKF). In designing control strategy for Helicopter, dynamics uncertainties and nonlinear behavior have investigated. In control tasks, two separate PID controllers used for stabilization of coupled pitch and yaw angles and tracking of chosen state variables. The linear and Extended Kalman Filter used to estimate the uncertain states of the system. The filter combination with PID controllers improve the reliability of sensors data. The simulation and experimental results show a good tracking of the desire trajectory.
机译:本文介绍了过于致动双轴双转子2dof直升机空气动力系统(2dof-hys)的姿态控制,直升机的简化版本,使用(比例互动 - 衍生)PID控制算法来研究可能的快速动态响应扩展卡尔曼滤波器(EKF)。在设计直升机控制策略时,调查了动力学不确定性和非线性行为。在控制任务中,用于稳定耦合间距和偏航角的两个单独的PID控制器以及所选状态变量的跟踪。用于估计系统不确定状态的线性和扩展卡尔曼滤波器。与PID控制器的过滤器组合可提高传感器数据的可靠性。模拟和实验结果表明良好的追踪轨迹。

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