The efficiency of the inference system knowledge strategy for induction motor linear speed control of an urban electric vehicle

• Autorzy: Nasri A.
• Języki publikacji: EN

Abstrakty

EN

This paper presents a real induction vehicle motor speed estimation technique, based on the fuzzy logic inference system knowledge for electric vehicle safety based on differential electronics as essential element for two wheeled electric vehicle driving which utilize the two back separately induction motors for motion. The aim object of the fuzzy logic controller is to give more and more safety for the electric propulsion system safety during motion against road topology. Our electric vehicle fuzzy inference system control’s simulated in Matlab SIMULINK environment, the results obtained present the efficiency and the robustness of the proposed control with good performances compared with the traditional PI speed control, the FLC induction traction machine presents not only good steady characteristic, but with no overshoot too. The electronic differential system ensures the robust control of the vehicle behavior on the road. It also allows controlling, independently, every driving wheel to turn at different speeds in any curve.

Słowa kluczowe

EN

electric vehicle; electronic differential; induction motor; vector control; fuzzy logic speed control

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2010
• Tom: Vol. 4, No. 1
• Strony: 85--93
• Opis fizyczny: Bibliogr. 19 poz., rys.

Twórcy

autor

Nasri A.

• Bechar University, B.P 417 Bechar (08000), Algeria.,

Bibliografia

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