MULTIDISCIPLINARY DESGIN OPTIMISATION OF JOINT- UCAV USING HAPMOEA WITH UNCERTAINTY

Improvement of survivability of Unmanned (Combat) Aerial Vehicles (UAV/UCAV) is one of the common challenges in completing its diverse mission profile. To maximise the survivability, three major design points are considered- aerodynamic efficiency at cruise conditions with extreme manoeuvrability and low observability shape. This paper explores the application of a robust Evolutionary Algorithm (EA) for aerofoil sections and wing planform shape design optimisation for the improvement of aerodynamic performance and the reduction of Radar Cross Section (RCS) under uncertain conditions. The method is based on a canonical evolution strategy and incorporates the concepts of hierarchical topology, parallel computing and asynchronous evaluation (HAPMOEA) with Uncertainty technique. Results obtained from the optimisation show that utilising the designing transonic wing aerofoil sections and planform in combination with evolutionary techniques produces a set of shock-free aerofoils and achieved the supercritical aero-diamond wings. Results also indicate that the method is efficient and produces Pareto non-dominated solutions.