A fuzzy logic sliding mode controlled electronic differential for a direct wheel drive EV

In this study, a direct wheel drive electric vehicle based on an electronic differential system with a fuzzy logic sliding mode controller (FLSMC) is studied. The conventional sliding surface is modified using a fuzzy rule base to obtain fuzzy dynamic sliding surfaces by changing its slopes using the global error and its derivative in a fuzzy logic inference system. The controller is compared with proportional–integral–derivative (PID) and sliding mode controllers (SMCs), which are usually preferred to be used in industry. The proposed controller provides robustness and flexibility to direct wheel drive electric vehicles. The fuzzy logic sliding mode controller, electronic differential system and the overall electrical vehicle mechanism are modelled and digitally simulated by using the Matlab software. Simulation results show that the system with FLSMC has better efficiency and performance compared to those of PID and SMCs.

[1]  Yoichi Hori,et al.  Future vehicle driven by electricity and Control-research on four-wheel-motored "UOT electric march II" , 2004, IEEE Transactions on Industrial Electronics.

[2]  Yee-Pien Yang,et al.  Optimal Design and Control of a Wheel Motor for Electric Passenger Cars , 2005, IEEE Transactions on Magnetics.

[3]  A. Emadi,et al.  Electric Differential for Traction Applications , 2007, 2007 IEEE Vehicle Power and Propulsion Conference.

[4]  J. Hung,et al.  Evaluation of DSP-Based PID and Fuzzy Controllers for DC–DC Converters , 2009, IEEE Transactions on Industrial Electronics.

[5]  I. Altas,et al.  A GENERALIZED DIRECT APPROACH FOR DESIGNING FUZZY LOGIC CONTROLLERS IN MATLAB / SIMULINK GUI ENVIRONMENT , 2007 .

[6]  V. Utkin.  Variable structure systems with sliding modes , 1977 .

[7]  E. Iglesias,et al.  Fuzzy surface-based sliding mode control. , 2007, ISA transactions.

[8]  K. T. Chau,et al.  An overview of energy sources for electric vehicles , 1999 .

[9]  Jean J. Saade,et al.  Defuzzification techniques for fuzzy controllers , 2000, IEEE Trans. Syst. Man Cybern. Part B.

[10]  John Y. Hung,et al.  Variable structure control: a survey , 1993, IEEE Trans. Ind. Electron..

[11]  M.E.H. Benbouzid,et al.  SDTC Neural Network Traction Control of an Electric Vehicle without Differential Gears , 2007, 2007 IEEE Vehicle Power and Propulsion Conference.

[12]  Ryszard Andrzejewski,et al.  Nonlinear dynamics of a wheeled vehicle , 2005 .

[13]  Han Ho Choi,et al.  Robust fuzzy neural network sliding mode control scheme for IPMSM drives , 2014 .

[14]  E. H. Mamdani,et al.  Advances in the linguistic synthesis of fuzzy controllers , 1976 .

[15]  Ebrahim Mamdani,et al.  Applications of fuzzy algorithms for control of a simple dynamic plant , 1974 .

[16]  Mohamed Benrejeb,et al.  Chattering phenomenon supression of buck boost DC-DC converter with Fuzzy Sliding Modes Control , 2008 .

[17]  Ebrahim H. Mamdani,et al.  An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Hum. Comput. Stud..

[18]  Chian-Song Chiu,et al.  Finite-time control of DC–DC buck converters via integral terminal sliding modes , 2012 .

[19]  P. C. Sen,et al.  Application of variable structure fuzzy logic controller for DC-DC converters , 2001, IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.37243).

[20]  Adel M. Sharaf,et al.  A novel maximum power fuzzy logic controller for photovoltaic solar energy systems , 2008 .

[21]  Bo-Chiuan Chen,et al.  Design of an Electric Differential System for Three-Wheeled Electric Welfare Vehicles With Driver-in-the-Loop Verification , 2007, IEEE Transactions on Vehicular Technology.

[22]  K. T. Chau,et al.  A novel wide speed range permanent magnet brushless DC motor drive for electric vehicles , 1996 .

[23]  A. Katbab,et al.  Fuzzy logic and controller design-a review , 1995, Proceedings IEEE Southeastcon '95. Visualize the Future.

[24]  Soon Kiat Yee,et al.  Fuzzy Logic Controller for Decentralized Stabilization of Multimachine Power Systems , 2008, IEEE Transactions on Fuzzy Systems.