Abstract
In order to ensure the normal and stable flights in the aircraft, a variety of sensors and corresponding instrumentation systems have been applied on the aircraft to monitor/control the current flight status, and the resulted data ensure the flight safety with a heavy burden on the pilot. In views of this, nowadays, the aircraft cockpit automation assistance system has become a hot topic. This paper is based on the pilot’s future operational behavior which can be predicted through different stages of flight operations after the automated assistance system is triggered, thus providing the pilot with assistance in accordance with his operating habits. We have established a MDP (Markov Decision Process) model via analyzing and modeling of pilot operational behavior and mission requirements for flight processes, and we also use value iterative algorithm to find the optimal prediction sequence, lastly, we verify the operability of the algorithm by flight operation simulation experiment. It provides a new solution for the safety of pilot operations and the intrusiveness of the cockpit adaptive automation assistance system.
Highlights
The crew’s flight operations can directly affect the flight safety of the aircraft, the literature [1] counts 310 accidents occurred in China during the landing period from 1996 to 2005 and analyzes the causes of the accident
When an aircraft system failure occurs, the attention of most flight crews is focused on troubleshooting, ignoring the overall monitoring of factors affecting flight safety, and leads to flight accidents
Approximately 11.8% of flight crews fail to comply with standard operating procedures during troubleshooting, this becomes the main reason of flight accidents
Summary
The crew’s flight operations can directly affect the flight safety of the aircraft, the literature [1] counts 310 accidents occurred in China during the landing period from 1996 to 2005 and analyzes the causes of the accident. The current cockpit automation intelligent control system design lacks of flexibility, resulting in the intervention of the decision-making system of the flight operation process becomes inefficient. This unsuitable interruption and intrusion operation will cause the pilot’s cognitive deficit and trust failure, resulting in a flight accident. The contributions of this work are mainly threefold, firstly a MDP (Markov Decision Process) model is proposed and validated via analyzing and modeling of pilot operational behavior and mission requirements in flight processes, and secondly, proposed a value iterative algorithm to find the optimal prediction sequence. The direct outcome/contribution is we can determine the behavioral actions of the pilot in the current and foreseeable future for decision making, the experiments accumulate a large amount of data which can be used as the publicly accessible benchmark data for academic purposes
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