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Application of BP Neural Network PID Controller in Landing Gear Based on MRF Damper
- Source :
- Applied Mechanics and Materials; July 2015, Vol. 779 Issue: 1 p226-232, 7p
- Publication Year :
- 2015
-
Abstract
- For characteristics of nonlinearity and time-varying volatility of landing gear based on MR damper, a BP neural network PID controller with a momentum was designed on basis of established dynamic mathematical model. BP neural network would adjust three parameters of PID online in time. The controller was inputted the energy which was combined by the feedback of acceleration and displacement of the control system, which greatly reduced the computation time of controller and the control effect was more obvious. After compared with PID, the simulation and experiment have showed that BP neural network PID has a better effect. The arithmetic can be put into practice through experimental testing.
Details
- Language :
- English
- ISSN :
- 16609336 and 16627482
- Volume :
- 779
- Issue :
- 1
- Database :
- Supplemental Index
- Journal :
- Applied Mechanics and Materials
- Publication Type :
- Periodical
- Accession number :
- ejs36659536
- Full Text :
- https://doi.org/10.4028/www.scientific.net/AMM.779.226