Multidisciplinary Design Optimization of Unmanned Aerial Vehicle under Uncertainty

Hazard Analysis and Safety Requirements for Small Drone Operations: To What Extent Do Popular Drones Embed Safety?

“…Similarly, Hosseini et al . defended the notion that when there are insufficient data to develop a good estimate of probabilities, then probability mathematics will be ineffective in developing a safety management system about drones.…”

“…The aim of their work was to provide system engineers with a tool that facilitates the understanding of compromises in the design process to identify the optimal solution. According to Hosseini et al ., compromises are usually necessary to minimize resource and technology costs. Using Monte Carlo simulation, system engineers can design the most reliable UAS that meets most of the operational requirements and matches resource constraints.…”

A study for a MDO Process Applied to Conceptual Design of a Remotely Piloted Aircraft

“…Hosseini et al [16] applied a decoupling Uncertainty-based Multidisciplinary Design optimization (UMDO) method to design UAVs as a case study, using a genetic algorithm optimization method and sequential quadratic programming (SQP). The optimizer is located at system level within which UAV design parameters (a total of 37) are achieved in a way that, observing the problem's constraints (a total of 33), optimization criterion (overall mass of the UAV) becomes minimum.…”

“…It is explicit the dependence between the mission requirements and the methodology adopted during the design process and the chosen optimization method. According to Martins and Lambe [5], there are many architectures available to solve the optimization problems, and they must be presented in diagrams, such as those found in Bryson et al [15], Hosseini et al [16] and Papageorgiou et al [17]. It is notorious that the disciplines related to airworthiness, like propulsion, mass, structures, aerodynamics and stability, receive more attention in an optimization framework than disciplines that are not in the field of aeronautics.…”

“…It is notorious that the disciplines related to airworthiness, like propulsion, mass, structures, aerodynamics and stability, receive more attention in an optimization framework than disciplines that are not in the field of aeronautics. Hosseini et al [16] and Papageorgiou et al [17] integrated into their framework non-conventional disciplines like noise and radar signature, respectively, demonstrating the potential of an embracing architecture integrated in an optimization process during the aircraft conceptual design phase.…”