Presentation Title

Optimization of the Unmanned Aerial Vehicle

Start Date

November 2016

End Date

November 2016

Location

HUB 302-#3

Type of Presentation

Poster

Abstract

Unmanned Aerial Vehicles (UAVs) have a limitless amount of applications due to their high performance and efficiency in aircraft controllability, agility, durability, and functionality. UAVs have become one of the most versatile aerial gadgets utilized in several aspects of the world including military defense and transport, medical relief and aid, and commercial and recreational purposes. With these aircrafts having myriad applications, proper optimization must be introduced in the design phase of the project to maximize the UAVs efficiency in both the manufacturing cost analysis and effectiveness in performing the task in which it is being built. With a prototype model, optimization allows the engineer to set multiple design constraints and parameters numerically and in mathematical equation form that will define the UAV configuration. Following assigned constraints are critical in the design process because they can reflect a possible over design of the aircraft or restriction with its performance. With given conditions, variables can be either maximized or minimized for different tasks the UAV must execute. An optimization process can be done through MATLAB or Model Center. Optimization softwares often take a derivative based method, direct search method or iterative method. The method selected is dependent on the number of variables and types of equations that will assist the designer to find multiple sets of optimal designs and tradeoffs. Once the necessary variables are input into the properly constructed equations, calculations will provide a set of most efficient design specifications to construct a UAV that best meets the specified requirements. One of the benefits of having mathematical optimization model is the design can be easily changed to meet new specification under new constraints and requirements.

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Optimization of the Unmanned Aerial Vehicle

HUB 302-#3

Unmanned Aerial Vehicles (UAVs) have a limitless amount of applications due to their high performance and efficiency in aircraft controllability, agility, durability, and functionality. UAVs have become one of the most versatile aerial gadgets utilized in several aspects of the world including military defense and transport, medical relief and aid, and commercial and recreational purposes. With these aircrafts having myriad applications, proper optimization must be introduced in the design phase of the project to maximize the UAVs efficiency in both the manufacturing cost analysis and effectiveness in performing the task in which it is being built. With a prototype model, optimization allows the engineer to set multiple design constraints and parameters numerically and in mathematical equation form that will define the UAV configuration. Following assigned constraints are critical in the design process because they can reflect a possible over design of the aircraft or restriction with its performance. With given conditions, variables can be either maximized or minimized for different tasks the UAV must execute. An optimization process can be done through MATLAB or Model Center. Optimization softwares often take a derivative based method, direct search method or iterative method. The method selected is dependent on the number of variables and types of equations that will assist the designer to find multiple sets of optimal designs and tradeoffs. Once the necessary variables are input into the properly constructed equations, calculations will provide a set of most efficient design specifications to construct a UAV that best meets the specified requirements. One of the benefits of having mathematical optimization model is the design can be easily changed to meet new specification under new constraints and requirements.