- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Designing a Genetic Neural Controller of Differential Braking System for Vehicle Based on Model Reference | ||
| IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING | ||
| Article 1, Volume 8, Issue 1, 2008, Pages 113-126 | ||
| Author | ||
| Mr. Ahmed Sabah Abdul Ameer Al-Araji | ||
| Abstract | ||
| Abstract: In this paper, the structure of the controller is consist s of a Modified Elman Neural Networks MENN model that is learned on-line by using genetic algorithm teachings in order to achieve required yaw rate and reduce lateral velocity in a short period of time to prevent vehicle from sliding out the curvature. By using differential braking system and front wheel steering angle has automatically controlled the vehicle lateral motion when the vehicle rotates the curvatures. The robust feedback neural controller is achieving the excellent transient state output of the system by minimizing the error between the model reference output and the model output of the system. Where the model of the system is also MENN that learned by two stages off-line and on-line, in order to guarantee that the model output accurately represents the actual output of the system by using dynamic Back Propagation Algorithm (BPA). | ||
| Full Text | ||
|
| ||
|
Statistics Article View: 216 PDF Download: 31 |
||
