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The uncertain optimisation of buffering characteristics of landing airbag in manned airdrop

In this paper, the approximation non-linear interval number programming (A-NINP) method is suggested to obtain the optimal buffering characteristics of a landing airbag in manned airdrop. The landing velocities of airdrop equipment and ground friction coefficient are regarded as the uncertain parameters, and an uncertain objective function that represents the human neck injury index is created. Based on an order relation of interval number, the uncertain objective function is transformed into two deterministic objective functions. Through a modified possibility degree, the uncertain inequality constraints are changed to deterministic inequality constraints. In order to reduce the computational cost, radial basis function approximation models are used, and a local-densifying method is suggested to guarantee the accuracy of the approximation models. The intergeneration projection genetic algorithm is employed to solve the finally obtained deterministic and non-constraint optimisation problem. The results indicate that using the presented method, better buffering characteristics of the landing airbag can be obtained to ensure the safety of astronauts.