A challenged control problem is when the performance is pushed to the limit. The state-derivative feedback control strategy directly uses acceleration information for feedback and state estimation. The derivative part is concerned with the rateof- change of the error with time. If the measured variable approaches the set point rapidly, then the actuator is backed off early to allow it to coast to the required level. Derivative action makes a control system behave much more intelligently. A sensor measures the variable to be controlled and the measured in formation is fed back to the controller to influence the controlled variable. A high gain problem can be also formulated for proportional plus derivative feedback transformation. Using MATLAB Simulink dynamic simulation tool this paper examines a system with a proportional plus derivative feedback and presents an automatic implementation of finding an acceptable controlled system. Using feedback transformations the system is transformed into another system.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    State-Space PD Feedback Control


    Beteiligte:
    John Florescu (Autor:in)

    Erscheinungsdatum :

    2008-05-22


    Anmerkungen:

    oai:zenodo.org:1086055



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629




    Sensory feedback control for space manipulators

    Masutani, Y. / Miyazaki, F. / Arimoto, S. | Tema Archiv | 1989


    State Feedback H Optimal Control

    Lavretsky, Eugene / Wise, Kevin A. | Springer Verlag | 2024


    State Feedback H Optimal Control

    Lavretsky, Eugene / Wise, Kevin A. | Springer Verlag | 2012


    Multivariable control of the Space Shuttle Remote Manipulator Systemusing linearization by state feedback

    BEDROSSIAN, NAZARETH / VALAVANI, LENA / GETTMAN, CHANG-CHING et al. | AIAA | 1993


    Multivariable control of the Space Shuttle Remote Manipulator System using linearization by state feedback

    Gettman, Chang-Ching L. / Adams, Neil / Bedrossian, Nazareth et al. | NTRS | 1993