This chapter introduces some advanced control methodologies, including optimal control, adaptive control, model predictive control, robust control, and fault‐tolerant control, for hybrid vehicle applications. The fundamental optimal control objective of a hybrid vehicle system is to maximize fuel economy and minimize emissions while abiding by the drivability and safety requirements under various driving scenarios. Pontryagin presented his maximum principle to solve the optimal control problem in 1962. In order to ensure that the vehicle model meets performance requirements in the presence of model and disturbance uncertainties, the developed control algorithms must be robust with respect to such uncertainties and even be able to adapt to slow, dynamic changes in the system. Fault‐tolerant control is also a topic of immense activity in which a number of different design and analysis approaches have been suggested. Some mention of such control strategies is desirable, but it is important to realize the nature of fault‐tolerant control problems.


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    Titel :

    Appendix B: Advanced Dynamic System Control Techniques


    Beteiligte:
    Liu, Wei (Autor:in)


    Erscheinungsdatum :

    16.02.2017


    Format / Umfang :

    33 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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