Energy Optimization of Brushed DC Motor in Electric Power-Assisted Steering

Authors

  • Kumeresan A. Danapalasingam Senior Lecturer, Department of Control & Mechatronics Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia

DOI:

https://doi.org/10.11113/jt.v70.3464

Keywords:

Electric power-assisted steering, brushed DC motor, nonlinear adaptive regulation, PID control, energy optimization

Abstract

Electric power-assisted steering (EPS) is a control system where an electric motor is used to provide assistance in vehicle steering. In this work controllers are designed for a column-type EPS equipped with a brushed DC motor to enable energy optimization. Using a mathematical model of EPS a controller is developed based on nonlinear adaptive regulation method to generate driver torque. PID control is then applied to produce assistance torque in accordance to desired energy saving. Simulation results using Matlab show the trade-off between driver’s comfort and energy consumption. The control paradigm introduced here fits appropriately in electric vehicles (EVs) where electrical energy is scarce.  

References

H. Zhang, Y. Zhang, J. Liu, J. Ren, and Y. Gao. 2009. Modeling and Characteristic Curves of Electric Power Steering System. In Proceedings of the International Conference on Power Electronics and Drive Systems, 2009 (PEDS 2009). 1390–1393.

C. Chitu, J. Lackner, M. Horn, H. Waser, and M. Kohlbock. 2011. A Robust and Optimal Lqr Controller Design for Electric Power Steering System. In Proceedings of the 2011 Joint 3rd Int’l Workshop on Nonlinear Dynamics and Synchronization (INDS) & 16th Int’l Symposium on Theoretical Electrical Engineering (ISTET). 1–5.

N. Mehrabi, N. L. Azad, and J. McPhee. 2011. Optimal Disturbance Rejection Control Design for Electric Power Steering Systems. In Proceedings of the 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC). 6584–6589.

H. Zang and S. Chen. 2011. Electric Power Steering Simulation Analyse Based on Fuzzy PID Current Tracking Control. Journal of Computational Information Systems. 7:. 119–126.

Q. Liu, H. Chen, and H. Zheng. 2007. Robust Control of Electric Power Steering System. In Proceedings of the 33rd Annual Conference of the IEEE Industrial Electronics Society (IECON). 874–879.

T. Kara and I. Eker. 2004. Nonlinear Modeling and Identification of a DC Motor for Bidirectional Operation with Real Time Experiments. Energy Conversion and Management. 45: 1087–1106.

J. Tordesillas, V. Ciarla, and C. Canudas De Wit. 2011. Oscillation Annealing and Driver/Tire Load Torque Estimation in Electric Power Steering Systems. In Proceedings of the 2011 IEEE Multi-Conference on Systems and Control (MSC 2011), Denver, Colorado, United States, Sep. 2011, p. s/n. [Online]. Available: http://hal.archives-ouvertes.fr/hal-00642035.

E. Velenis, P. Tsiotras, and C. C. de wit. 2002. Extension of the LuGre Dynamic Tire Friction Model to 2d Motion. In Proceedings of the 10th IEEE Mediterranean Conference on Control and Automation-MED2002, July 9-12 2002. Lisbon, Portugal.

A. Isidori, L. Marconi, and A. Serrani. 2003. Robust Autonomous Guidance. Secaucus, NJ, USA: Springer-Verlag New York, Inc.,

A. Isidori, L. Marconi, and A. Serrani. 2003. Robust Nonlinear Motion Control of a Helicopter. IEEE Trans. Automat. Control. 48(3): 413–426 [Online].

Downloads

Published

2014-09-08

How to Cite

Energy Optimization of Brushed DC Motor in Electric Power-Assisted Steering. (2014). Jurnal Teknologi, 70(3). https://doi.org/10.11113/jt.v70.3464