Notice of Violation of IEEE Publication Principles: Robust nonlinear control applied to traction control of electric vehicles

Notice of Violation of IEEE Publication Principles

"Robust Nonlinear Control Applied to Traction Control of Electric Vehicles"
by Mahdi Jalili-Kharaajoo and Hossein Rouhani
in the Proceedings of the 10th IEEE International Conference on Electronics, Circuits and Systems,. ICECS 2003, December 2003

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

This paper was found to be a near verbatim copy of the papers cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper titles) and without permission.

Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following articles:

"Modeling and Simulation of a Traction Control Algorithm for an Electric Vehicle with Four Separate Wheel Drives"
by R. Pusca, Y. Ait-Amirat, A. Berthon, J.M. Kauffmann,
in the Proceedings of the 2002 IEEE 56th Vehicular Technology Conference, VTC 2002-Fall, pp. 1671-1675

"A Comparison of Sliding Mode Fuzzy Controller and Fuzzy Sliding Mode Controller"
by Song Feijun, S.M. Smith,
in the Proceedings of the 19th International Conference of the North American Fuzzy Information Processing Society, 2000. NAFIPS, July 2000, pp 480-484


A robust nonlinear control strategy based on sliding mode control algorithm is applied to traction control for an electric vehicle (EV) with four separate wheel drives. The proposed algorithm is implemented in terms of a hierarchical architecture, which incorporates all new known vehicle systems ABS (Anti-lock Brake System), ASR (Anti Slip Regulation), ESP (Electronic Stability Program). Simulation results demonstrate the satisfactory robust performance of the proposed control algorithm.