Title :
ANN and Non-Integer Order Modeling of ABS Solenoid Valves
Author :
Branciforte, M. ; Meli, A. ; Muscato, G. ; Porto, D.
Author_Institution :
Automotive Product Group-Powertrain & Safety, STMicroelectronics, Catania, Italy
fDate :
5/1/2011 12:00:00 AM
Abstract :
This brief presents an electric model of an on/off solenoid valve used to regulate brake pressure in anti-lock braking control systems (ABS). The model has been derived with the purpose to test and validate some coil driver integrated circuits in a Hardware-in-the-loop approach. The valve model is composed by magneto-dynamic, mechanical and fluid dynamic subsystems. The global system is highly nonlinear and presents hysteresis phenomena due to the ferromagnetic effect. A non-integer order system has been adopted to simply represent the high order dynamics present into the system, while Duhem equations coupled with two different neural networks are used to model the hysteresis. Several experimental trials have been performed in order to validate the suitability of the proposed approach.
Keywords :
automobiles; braking; ferromagnetic materials; neurocontrollers; nonlinear control systems; pressure control; solenoids; valves; ABS solenoid valves; ANN; Duhem equations; antilock braking control systems; artificial neural network; brake pressure; coil driver integrated circuits; fluid dynamic subsystems; hardware-in-the-loop approach; magneto-dynamic subsystems; mechanical subsystems; noninteger order modeling; solenoid operated fluid pressure control valves; Artificial neural networks; Circuit testing; Control system synthesis; Fluid dynamics; Hysteresis; Integrated circuit modeling; Integrated circuit testing; Pressure control; Solenoids; Valves; Anti-lock braking system (ABS); Duhem model; artificial neural network; fractional order system; hysteresis; nonlinear model;
Journal_Title :
Control Systems Technology, IEEE Transactions on
Conference_Location :
6/7/2010 12:00:00 AM
DOI :
10.1109/TCST.2010.2049999