SYSTEM IDENTIFICATION AND SLIDING MODE TRACKING CONTROL FOR ELECTRO-HYDRAULIC STEER-BY-WIRE SYSTEM | ||
Engineering Research Journal | ||
Article 20, Volume 172, Issue 0, December 2021, Pages 121-130 PDF (921.79 K) | ||
Document Type: Original Article | ||
DOI: 10.21608/erj.2021.210061 | ||
Authors | ||
Magdy R. Roman* 1; Sayed M. Shaaban2; Mohamed G. Rabie3; Mohamed H. Aly1 | ||
1Mechanical Power Engineering Department, Faculty of Engineering at Mataria, Helwan University, Cairo, Egypt | ||
2Automotive and Tractors Engineering Department, Faculty of Engineering at Mataria, Helwan University, Cairo, Egypt | ||
3Manufacturing and Production Technology Department, Modern Academy, Cairo, Egypt | ||
Abstract | ||
In passenger cars Steer-by-wire (SBW) system is a promising technology in which a control circuit replaces the mechanical link between the driving wheel and the vehicle's front wheels. This could improve the design flexibility and steering capability providing that the steering controller has a good tracking response to the driver’s demand. In this research, a robust sliding mode control is designed and implemented to an electro-hydraulic SBW system. Grey-box system identification approach is used to identify the parameters of the driven mathematical model. The system is given a standard input signal, Pseudo Random Multi-level Sequence (PRMS), to be stimulated in the relevant bandwidth. Then, a robust sliding mode controller is designed, based on a fixed boundary layer, to provide system stability over a wide range of operating conditions and system disturbances. Finally, the algorithm is implemented experimentally in a real-time platform in order to evaluate the tracking performance. The test signals are designed based on the highest rate of steering provided by a human driver. The results proved the capability of the steering system to track the driver’s demand accurately. At high steering rate conditions (720 degree/s) the maximum overshoot is found to be 3% with a setling time of 0.1 s. | ||
Keywords | ||
Electro-hydraulic position tracking; Sliding mode control; Graybox system identification; Pseudo random multi-level sequence | ||
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