To ensure the SOTIF of eVTOL vehicles in UAM and reduce the verification difficulty of artificial intelligence algorithms,an obstacle avoidance model was proposed based on RTA method.Firstly,SAC(soft actor-critic)algorithm improved by the artificial potential field method was used as the complex function of the eVTOL intelligent obstacle avoidance system.Then,dynamic response planning(DRP)was used as a backup function of the intelligent avionics system to mitigate SOTIF hazards.Moreover,monitoring and decision-making modules were adopted to obtain environmental conditions and develop an RTA architecture.Finally,the simulated obstacle avoidance performance was compared between the two systems using complex function and RTA.The results showed that both methods can achieve obstacle avoidance,but the traditional obstacle avoidance system using complex functions may impose SOTIF risk.The RAT architecture design increased safe flight time from 78.4％to 98.15％,with the total route length only increasing by 0.95％,reducing risks in operational scenarios while ensuring efficiency.
safety of the intended functionality(SOTIF)/electric vertical take-off and landing(eVTOL)/runtime assurance(RTA)/urban air mobility(UAM)/intelligent obstacle avoidance system
维普
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