A Study on PID Control and Simulation Based on BP Neural Network
- 1 February 2012
- journal article
- Published by Trans Tech Publications, Ltd. in Advanced Materials Research
- Vol. 468-471, 742-745
- https://doi.org/10.4028/www.scientific.net/amr.468-471.742
Abstract
This paper introduces the neural network PID control method, in which the parameters of PID controller is adjusted by the use of the self-study ability. And the PID controller can adapt itself actively. The dynamic BP algorithm of the three-layered network realizes the online real-time control, which displays the robustness of the PID control, and the capability of BP neural network to deal with nonlinear and uncertain system. A simulation is made by using of this method. The result of it shows that the neural network PID controller is better than the conventional one, and has higher accuracy and stronger adaptability, which can get the satisfied control result.Keywords
This publication has 4 references indexed in Scilit:
- SEISMIC COLLAPSE ANALYSIS OF CONCENTRICALLY-BRACED FRAMES BY THE IDA METHODPublished by Hong Kong Institute of Steel Construction ,2017
- Optimization of thin conical frusta for impact energy absorptionThin-Walled Structures, 2008
- Study of PID Neural Network Control for Nonlinear SystemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- On the Crushing Mechanics of Thin-Walled StructuresJournal of Applied Mechanics, 1983