The guidance design of aerobatic aircraft in air-race is to ensure several stringent terminal conditions at the race gates as well as to satisfy bounds on control and structural load factor. Also, it should be robust in presence of uncertainties in aerodynamic parameters. All these complexities make it a challenging problem. To meet these requirements, the generalized model predictive static programming (G-MPSP) based suboptimal guidance design with hard terminal and input inequality constraints is presented in this paper. Penalty function approach is followed with the G-MPSP algorithm to ensure input constraints. To demonstrate the robustness of the proposed guidance algorithm, the simulation results are carried out considering aerodynamic parameter uncertainties.
Aerobatic Aircraft Guidance Design for Air-Race Scenario
2019-08-01
978706 byte
Conference paper
Electronic Resource
English
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