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Compensator-based 6-DOF control for probe asteroid-orbital-frame hovering with actuator limitations

机译:基于补偿器的六自由度控制,用于在执行器限制的情况下探测小行星-轨道框架盘旋

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摘要

This paper is concerned with 6-DOF control of a probe hovering in the orbital frame of an asteroid. Considering the requirements of the scientific instruments pointing direction and orbital position in practical missions, the coordinate control of relative attitude and orbit between the probe and target asteroid is imperative. A 6-DOF dynamic equation describing the relative translational and rotational motion of a probe in the asteroid's orbital frame is derived, taking the irregular gravitation, model and parameter uncertainties and external disturbances into account. An adaptive sliding mode controller is employed to guarantee the convergence of the state error, where the adaptation law is used to estimate the unknown upper bound of system uncertainty. Then the controller is improved to deal with the practical problem of actuator limitations by introducing a RBF neural network compensator, which is used to approximate the difference between the actual control with magnitude constraint and the designed nominal control law. The closed-loop system is proved to be asymptotically stable through the Lyapunov stability analysis. Numerical simulations are performed to compare the performances of the preceding designed control laws. Simulation results demonstrate the validity of the control scheme using the compensator-based adaptive sliding mode control law in the presence of actuator limitations, system uncertainty and external disturbance.
机译:本文涉及在小行星的轨道框架内悬停的探测器的6自由度控制。考虑到实际任务中科学仪器指向方向和轨道位置的要求,必须对探测器和目标小行星之间的相对姿态和轨道进行坐标控制。考虑到不规则的引力,模型和参数的不确定性以及外部干扰,推导了一个6自由度动力学方程,描述了小行星轨道框架中探测器的相对平移和旋转运动。采用自适应滑模控制器来保证状态误差的收敛,其中自适应律用于估计系统不确定性的未知上限。然后,通过引入RBF神经网络补偿器对控制器进行改进,以解决执行器限制的实际问题,该补偿器用于逼近具有幅度约束的实际控制与设计的名义控制律之间的差异。通过Lyapunov稳定性分析证明了闭环系统是渐近稳定的。进行数值模拟以比较先前设计的控制律的性能。仿真结果证明了在存在执行器限制,系统不确定性和外部干扰的情况下,使用基于补偿器的自适应滑模控制律的控制方案的有效性。

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