Application Of Artificial Neural Network in The Performance of Non Linear Twin Rotor Mimo System (Record no. 57760)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02102nam a2200169Ia 4500 |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | 14MPE09 |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Sara Hafeez Rajput |
| -- | 14MPE09 |
| -- | Supervisor Prof. Dr. Aslam Pervez Memon |
| 245 #0 - TITLE STATEMENT | |
| Title | Application Of Artificial Neural Network in The Performance of Non Linear Twin Rotor Mimo System |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Nawabshah |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher | QUEST |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Year of publication | 2017 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 64 |
| 500 ## - GENERAL NOTE | |
| General note | ABASTRACT<br/><br/>The control and modeling of flexible maneuvering system, such as helicopter unmanned vehicles has always been a challenging problem due to-linearity, significant cross-coupling between its two, complex aerodynamics force between its two rotors and the of some of its states and outputs for measurements. Helicopter has been widely used in air traffic systems, such as traffic condition assessment, prevention and crime precautions. The twin rotor multiple input multiple output system (TRMS) is a laboratory setup which resemble the behavior of a helicopter in certain aspects due to the complicated nonlinearity and high cross coupling effect between main rotor and tail rotor like helicopter. Some of its inputs and outputs are inaccessible for the measurement. The control effort is to make the beam of TRMS to move quickly and accurately to the desired attitudes both in terms of pitch angle and azimuth angle under decoupling effects between two axes. The project is aimed at devising a model of the non-linear MIMO system by using Neural Networks. This is because of the efficient modeling approach provided by neural networks highly non-non-linear systems. The mathematical modeling of TRMS is done using MATLAB/Simulink. The simulation results are compared with the results of conventional PID controller.<br/>The results of A (MLP & (RBF) show better transient, rise time, overshoot and steady state response as compared to conventional PID controller.<br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/> |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Department of Master Engineering in Power Engineering Of Electrical Engineering |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://tiny.cc/cs2cvz |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Thesis and Dissertation |
| Withdrawn status | Lost status | Home library | Current library | Date acquired | Accession Number | Koha item type |
|---|---|---|---|---|---|---|
| Research Section | Research Section | 16/05/2018 | MP/17-168 | Thesis and Dissertation | ||
| Research Section | Research Section | 08/10/2018 | MP/30-340 | Thesis and Dissertation |