[PDF] Top 20 A smart Neural Network Based Algorithm for Landing Control of Autonomous Unmanned Aerial Vehicle

... stall landing, the advantage of the proposed method is that it can be used in landing in small space, where the UAV is in a deep stall when the angle of attack is greater than the stall angle, which cause ... See full document

... robust control schemes have been developed to address the control problems in quadrotor helicopters associated with uncertainties and ...linearization control approach by considering the disturbance ... See full document

... and control of Vertical Takeoff and Landing (VTOL) type Unmanned Aerial Vehicle (UAV) specifically, micro ...literature. Based on the mathematical model, several algorithms have ... See full document

... by Unmanned Aerial Vehicles (UAVs) from sun flower and maize ...weed control is mainly based on the design of early post emergence site specific control treatments according to weed ... See full document

... an aerial vehicle that does not carry a human operator, uses aerodynamic forces to provide vehicle lift, can fly autonomously or be piloted remotely, can be expandable or recoverable, and can carry a ... See full document

... We adopt the mathematician mixture clump algorithmic program for acceleration. It clusters new pixels into K teams supported existing GMM elements that have the most important probability value manufacturing the pixels. ... See full document

... modeling, control design, tuning, position control and integration between Simulink and Arduino and IMU sensors especially for beginners with low cost ... See full document

... In contrast to fixed-wing and traditional helicopter UAVs, multi-rotors MAVs are much safer to operate, can easily hover above the target and able to fly at low altitude, are highly maneuverable and do not require ... See full document

... In nowadays the development of small UAV is under the interest of many researchers and want to explore the application. There is currently a large range of projects and research topics emerging in this field. Preliminary ... See full document

... Birds can fly in sky due to their inherent characteristics. They are the dominant in the sky. It is human characteristics to dominate or rule over other. So they tried their best to fly in sky from dawn of civilization. ... See full document

... You, Control System Design and the Power Management of MEFADEC Assembled on More-Electric Aircraft, 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles ... See full document

... the control system is non-linear, the method of iterative learning is used to optimize the control volume to achieve high-precision maneuver in Lupashin and D’Andrea, 1 the optimal control and ... See full document

... the vehicle into a mobile robot is automating all onboard functions and placing them under closed-loop ...the vehicle considered here since all drive functions (accelerating, braking and turning) are ... See full document

... The neural network used is multi layer feed-forward network with back propagation learning algorithm and is designed using MATLAB programming ...the neural network are distance ... See full document

... Thrust rigs, test and for comparing the static thrust produced by the BLDC motor as well as selection of combination of the Propeller. The fairly simple construction contains a weighing machine, a Tachometer and a ... See full document

... the vehicle would only need to change its heading either to the left or right to avoid ...planning algorithm to be able to generate 3D paths in such an environment because unlike 2D path, a path in 3D has a ... See full document

... will also become necessary to mount the accelerometer in this manner when installing the sensor into any prototyping aircraft to ensure that level flight is indeed acknowledged by the control system as being ... See full document

... orientation, based on the principle of preserving angular ...Gyroscopes based on other operating principles also exist, such as the electronic, microchip-packaged MEMS gyroscope devices found in consumer ... See full document

... In this paper, the intelligent control method based on neural network algorithm is used to control the influence parameters of damping force of shock absorber.. Memory architecture is es[r] ... See full document

... This paper presents a recursive Gauss-Newton based training algorithm to model the attitude dynamics of a small scale rotorcraft based unmanned aerial system using the neural network NN [r] ... See full document