Download PDF Modeling and Neural Control of Quadrotor Helicopter: MATLAB-SIMULINK Based Modeling, Simulation and Neural Control of Quadrotor Helicopter
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Modeling and Neural Control of Quadrotor Helicopter: MATLAB-SIMULINK Based Modeling, Simulation and Neural Control of Quadrotor Helicopter
Download PDF Modeling and Neural Control of Quadrotor Helicopter: MATLAB-SIMULINK Based Modeling, Simulation and Neural Control of Quadrotor Helicopter
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Quadrotor is a rotorcraft with four vertically oriented propellers. Two of the propellers spin in clockwise direction and the other two in the counter clockwise direction. For a Quadrotor Helicopter a stabilizing controller is always needed. In this book Artificial Neural Networks based Control Methodology to stabilize the a Quadrotor Helicopoter, has been explained. Firstly a mathematical model of Quadrotor is developed. A simplified approach is adopted using momentum theory, where the gyroscopic effect and air friction on machine's body has been neglected, resulting in a simplified model which is useful in designing a controller to stabilize the machine in hover state. The proposed model is nonlinear since the rotor dynamics are function of square of motor inputs. In the controller designing, Direct Inverse Neural Network Control methodology is employed. For that matter 16,8,4-MLP, 16,16,4-MLP and 16,64,4-MLP are used to control the Quadrotor plant. There performance is compared using simulation results. Direct Inverse Control using 16,64,4-MLP gives the best performance amongst all the other considered.
- Sales Rank: #3103624 in Books
- Published on: 2010-08-19
- Original language: English
- Number of items: 1
- Dimensions: 8.66" h x .19" w x 5.91" l, .28 pounds
- Binding: Paperback
- 80 pages
About the Author
Mr Yasir Amir Khan earned his MS(Control Systems)and BE (Electrical) degrees from National University of Sciences and Technology Pakistan, in 2008 and 2003 respectively. His research interests include Intelligent Control of Quadrotor Helicopter. Presently he is faculty member of National University of Computer and Emerging Sciences-FAST.
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