Dynamically Constrained Optimum Trajectory Generation for A Distressed Controlled Aerial System (CAS)
Nesrin Sarigul‐Klijn · 2014
The ultimate goal of in-flight trajectory optimization of a controlled aerial system is to safely land with zero casualties and no property damage. The aerial systems could be remotely, autonomously or hybrid controlled, (R-CAS, A-CAS, H-CAS). In-flight trajectory generation task forms a tightly coupled multidisciplinary optimization problem involving aerodynamics, structural dynamics, vehicle health monitoring and guidance-navigation-control as well as human decisions. This paper presents a novel approach in formulating an objective function and incorporating constraints dynamically as more information becomes available. Once the objective function is formulated and dynamic constraints are adapted in real time, proven Design Optimization Tools are employed. Numerical results from optimized trajectories will be included in the paper. It is anticipated that this approach will help reduce pilot (human or auto) workload and provide a contingency plan under an in-flight distress situation.