Unmanned Aerial Vehicle
The aerodynamics developed from Newton’s equations. With the equations of continuity, momentum and energy can be obtained models describing the motion of fluids. A particular case occurs when the fluid motion is stationary, i.e., the fluid properties only change the position but not in the fluid field with time, and also can be neglected when the fluid viscosity. With these two features, steady movement and not viscous, you can get a potential role to be derived fluid velocity is obtained at each point in the game. Once we have obtained the fluid velocity, we can find other important quantities. The classic aerodynamic is explaining how lift is generated airfoils based on potential movements. This movement is ideal, since the zero viscosity never achieved. The application of the concept of aerodynamics is wide in the aircraft, both manned and unmanned. Considering this fact, this paper focuses on the aerodynamics in manned as well as unmanned aerial vehicles.
- By air, land and sea, the unmanned vehicles are coming
This research paper gives reaction torque sensor review of the AUVSI Conference along with the show that happened in Orlando, Florida. As a matter of fact, the theme of the conference was the unmanned vehicles or the robots, including their use on ground, water and in the air. Each of the unmanned aerial vehicles has different technological needs, such as they need an onboard energy resource, often in the form of battery, fuel engine, and a jet engine. In fact, the thing that makes aerodynamic of unmanned aerial vehicle different from that of manned aerial vehicle is the goal, i.e. to achieve maximum efficiency, in order to enhance the range as well as the time a particular mission. The practicalities of unmanned aerial vehicles can be found in military as well as civilian use, such as the use in crop monitoring, fish school location, etc.
One of the prime concerns associated with unmanned aerial vehicle is the forming of an appropriate location, where the trail and operations can occur. It has been noted that there is little space available for such equipments to test, after all the air space has been occupied by military and commercial aircraft all the time. This problem has been prevailing in Mexico, for that purpose, often the testing is conducted in the airspace of Scandinavia. Considering this fact, the research is one, on the software side, to better accommodate the space for the testing of these UAV’s in the air, which is usually occupied by military and commercial airlines.
- Aerodynamic Parameter Estimation of an Unmanned Aerial Vehicle Based on Extended Kalman Filter and Its Higher Order Approach
The aerodynamic parameter estimation is an effective method for the aerospace system modeling, for the purpose of developing a testing environment as well as to control the system design. As a matter of fact, the identification of parameters of an unmanned aerial vehicle is different from that of manned aerial vehicle and is much more complicated, due to its non-linear nature. However, such difficulties make transform it into a problem state for parameter estimation of nonlinear filtering problem. Considering this fact, the Extended Kalman Filter (EKF) is the most appropriate tool that can help to address the recurring aerodynamic parameter identification along with that can also provide excellent filtering.
The identification of system makes it easy to from dynamic models of flight using the data that have been taken from the flight test. However, aerodynamic parameter is just one variable that can be helpful in identification of essential data for the formation of unmanned aerial vehicle. In contrast to this, the most suitable methodology, according to researches, for unmanned aerial vehicle is the computational fluid dynamics due to two reasons. First is due to its short design cycles, second is the cost less than other parameters. Considering this fact, the aerodynamic parameter identification has been subject to research and thus has been overturned by computational fluid dynamics. All in all, for parameter identification the technique that manages the data of unmanned aerial vehicle for the purpose of its aerodynamic performance improvement are the employed sensors that are places within the aircraft.
- Unmanned aerial vehicle aerodynamic model identification from a racetrack manoeuvre
As a matter of fact, the flight controls system for the purpose of validating the degree of freedom of the dynamic models of unmanned aerial vehicles. However, from the traditional point of view, the use of model parameters are determined by the dint of tunnel tests, through the measurement of aerodynamic forces as well as the circumstances levied on the aircraft. Such standard procedures is expensive as well as time consuming, and are not that much affordable to unmanned aerial vehicles, as compared to manned aerial vehicles, where its utility can be justified considering the purpose and the commercial importance of the aircraft. Framework distinguishing proof systems give an alternative approach that might be utilized to gauge strength and control subsidiaries or aeromechanic coefficients of both manned and unmanned aerial vehicles from flight information. The common errands comprising the framework recognizable proof methodology are trial configuration, information similarity examination, model structure. This particular study is done on the Royal Thai Air force, specifically their aerial target.
Under the racetrack manoeuvre, the aircraft is always in the visual contact with the pilot who is operating the unmanned aerial vehicle, which is a mirror opposite to that of manned aerial vehicle, where the pilot doest NIL not operate aircraft from remote location, rather from with the aircraft. Considering this fact, the aerodynamics of such aircraft modalities differs in their nature. For instance, the one who is controlled from a remote location is external in nature, while the one that is manned is internal, where each of the moment of it’s aerodynamically moments is controlled from within.