Application of BP Neural Network PID Controller in Landing Gear Based on MRF Damper
2015 ◽
Vol 779
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pp. 226-232
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Keyword(s):
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.
2011 ◽
Vol 354-355
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pp. 968-973
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2011 ◽
Vol 101-102
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pp. 439-442
Keyword(s):
2013 ◽
Vol 820
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pp. 117-121
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Keyword(s):
2014 ◽
Vol 599-601
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pp. 1090-1093
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2013 ◽
Vol 756-759
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pp. 514-517
2010 ◽
Vol 426-427
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pp. 427-431
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