In order to develop an efficient driving system for electric vehicles (EVs), a testing system using motors has been built to simulate the driving performance of EVs. In the testing system, the conventional PID controller is applied to control the load torque when EV drives. In this paper, in order to overcome some disadvantages concerning about the conventional PID control and improve the performance, self-tuning PID-type and parallel-type methods using neural networks are proposed. The effectiveness of the proposed control methods are examined through experiments.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Neurocontroller for load torque control in an electric vehicle testing system


    Additional title:

    Ein neuronaler Regler (neurocontroller) im Parallelbetrieb für die PID-Drehmomentregelung an einem Versuchsantrieb für ein Elektroauto


    Contributors:
    Matsumura, S. (author) / Omatu, S. (author) / Higasa, H. (author)


    Publication date :

    1993


    Size :

    4 Seiten, 8 Bilder, 6 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    F8 neurocontroller based on dynamic inversion

    Sadhukhan, Debashis / Florida State Univ. / Tallahassee et al. | AIAA | 1996


    F8 Neurocontroller Based on Dynamic Inversion

    Sadhukhan, D. | Online Contents | 1996


    Neurocontroller Design for Nonlinear Control of Takeoff of Unmanned Aerospace Vehicles

    Thomson, Joel / Jha, Ratneshwar / Pradeep, S. | AIAA | 2004


    Concurrent Identification and Control of System by Applying Standardized Neurocontroller and Neuroplant

    Habib, S. / Zaghloul, M. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 1996