Title :
Simulation solenoid valve for controller design and evaluation
Author :
Arain, M.A. ; Scotson, P.G.
Author_Institution :
Lucas Res., Solihull, UK
fDate :
29 Jun-1 Jul 1992
Abstract :
The problem of controller design and evaluation requires simulation of the nonlinear plant, which is difficult In this example, a neural network is trained to behave exactly as the real plant (a nonlinear solenoid valve with position control), which can then be used in place of the real valve for safe testing of the controller. An advantage of this technique is that the neural network can also be used to monitor the functioning of the valve. The neural network can then act as for fault detection
Keywords :
control system CAD; neural nets; nonlinear control systems; solenoids; valves; controller CAD; design; fault detection; function monitoring; neural network; solenoid valve simulation; Artificial neural networks; Neural networks; Neurons; Nonlinear dynamical systems; Position control; Predictive models; Signal processing algorithms; Solenoids; Testing; Valves;
Conference_Titel :
Intelligent Vehicles '92 Symposium., Proceedings of the
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-0747-X
DOI :
10.1109/IVS.1992.252263
