scholarly journals Nonlinear adaptive sliding mode control of a powertrain supplying Fuel Cell hybrid vehicle

Author(s):  
M. D. Bougrine ◽  
A. Benalia
2012 ◽  
Vol 187 ◽  
pp. 286-292
Author(s):  
Woo Joo Yang ◽  
Young Bae Kim

Traction control for the proton exchange membrane (PEM) fuel cell hybrid vehicle is studied. The traction control denotes the anti-slipping action when the vehicle meets sudden road surface friction changes. Slip ratio is utilized to analyze the slipping action, and optimum value is chosen for controlling the motor speed to prevent the slip. A one-dimensional longitudinal model of a fuel cell vehicle is constructed to prove the traction control effectiveness. The model includes a fuel cell system, a battery, an inverter and permanent synchronous motor, a bi-directional converter and a vehicle dynamics. Two three-phase permanent magnet synchronous motors (PMSM) are utilized to generate the required power for the vehicle traction. Maximum transmissible torque estimation (MTTE) control and sliding mode control are utilized for the PEM fuel cell vehicle traction control algorithms. The simulation results show that the proposed control algorithm effectively prevents vehicle slipping when a PEM fuel cell vehicle meets a sudden road friction change by distributing appropriate powers between battery and fuel cell.


2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Jiangbin Wang ◽  
Ling Liu ◽  
Chongxin Liu ◽  
Xiaoteng Li

The main purpose of the paper is to control chaotic oscillation in a complex seven-dimensional power system model. Firstly, in view that there are many assumptions in the design process of existing adaptive controllers, an adaptive sliding mode control scheme is proposed for the controlled system based on equivalence principle by combining fixed-time control and adaptive control with sliding mode control. The prominent advantage of the proposed adaptive sliding mode control scheme lies in that its design process breaks through many existing assumption conditions. Then, chaotic oscillation behavior of a seven-dimensional power system is analyzed by using bifurcation and phase diagrams, and the proposed strategy is adopted to control chaotic oscillation in the power system. Finally, the effectiveness and robustness of the designed adaptive sliding mode chaos controllers are verified by simulation.


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