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Autonomous and Adaptive Guidance for Low-Thrust Interplanetary Trajectories

机译:低推力行星际轨迹的自主和自适应指导

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Indirect optimization based on calculus of variations is used to develop an autonomous guidance scheme for low-thrust trajectories. This method is applied to a fixed-time Earth-Mars minimum-fuel orbit transfer. First, the nominal optimal control problem (OCP) is solved using indirect optimization, leading to a two-point boundary value problem (TPBVP) which is then solved using a single shooting method and extended logarithmic smoothing to obtain the optimal trajectory and open-loop control law. Then, an algorithm for determining updates to the nominal control in response to deviations from the nominal trajectory is presented. This method of obtaining the guidance control does not require approximating or linearizing the dynamics of the nominal OCP. Instead, the nominal solution and measurements of the current state are used to rapidly determine control updates by means of an algorithm which circumvents the need to guess costates or solve a new TPBVP.
机译:基于变化演算的间接优化用于开发用于低推力轨迹的自主引导方案。 该方法应用于定时地球火星最小燃料轨道转移。 首先,使用间接优化来解决标称最佳控制问题(OCP),导致两点边值问题(TPBVP)然后使用单个拍摄方法和扩展的对数平滑进行解决,以获得最佳轨迹和开环 控制法。 然后,呈现了一种响应于与标称轨迹的偏差确定标称控制的更新的算法。 获得引导控制的这种方法不需要近似或线性化标称OCP的动态。 相反,当前状态的标称解决方案和测量用于通过算法快速确定控制更新,该算法避免需要猜测成本或解决新的TPBVP。

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