Designing two-level rescue depot location and dynamic rescue policies for unmanned vehicles

Unmanned vehicles are often required to execute critical missions in harsh environment, causing system failure which may occur during the mission execution or rescue procedure. Existing research has focused primarily on policies during mission execution to reduce failure risk. The paper investigates risk evaluation and control policies both in the mission execution and rescue phases, and proposes two-level rescue depot location policies and dynamic rescue policies including mission abort and maintenance policies for unmanned vehicle systems. Specifically, considering multi-state characteristics of unmanned vehicle systems, two-level rescue depots are introduced to satisfy maintenance demands by providing different types of maintenance. To improve surviv-ability in the mission execution, dynamic mission abort policies are executed when the number of failed com-ponents reaches predetermined thresholds, and then a rescue procedure is initiated. During the rescue, elaborate designed rescue depots location and dynamic maintenance policies are developed to reduce the risk of failure in the rescue. After a successful rescue, unmanned vehicles can re-attempt missions. The recursive algorithm and discretization algorithm are used to derive and evaluate mission success probability, system survivability, and expected cost of losses, and optimization models based on three indicators are formulated. The superiority of the proposed policies is demonstrated by a case study of a UAV system.

Automated summary

This paper investigates risk evaluation and control policies for unmanned vehicle systems during mission execution and rescue phases. It proposes two-level rescue depot location policies and dynamic rescue policies, including mission abort and maintenance policies, to reduce failure risk. The proposed policies are demonstrated to be superior through a case study of a UAV system.