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Author Spotlight: Enhancing Microinjection Needle Quality by Wet Beveling
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Adaptive controller for a needle free jet-injector system.

Ashin Modak, N Catherine Hogan, Ian W Hunter

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 7, 2016
    PubMed
    Summary
    This summary is machine-generated.

    A new adaptive controller for needle-free jet injection systems improves trajectory tracking and robustness. This advanced control enhances performance in both air and ex-vivo tissue injection tasks.

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    Area of Science:

    • Biomedical Engineering
    • Control Systems Engineering
    • Medical Device Technology

    Background:

    • Needle-free jet injection offers a less invasive drug delivery method.
    • Current control systems for jet injectors face challenges with accuracy and adaptability to biological variations.
    • Optimizing jet injection mechanics is crucial for effective and reliable drug delivery.

    Purpose of the Study:

    • To develop and evaluate a nonlinear, sliding mode adaptive controller for a needle-free jet injection system.
    • To compare the performance of the adaptive controller against a traditional Feed-forward+PID controller.
    • To assess the controller's efficacy in trajectory tracking and robustness to biological tissue variations.

    Main Methods:

    • A simplified lumped-sum parameter model of jet-injection mechanics was utilized.
    • A nonlinear, sliding mode adaptive controller was designed.
    • Comparative analysis was performed using water ejection into air and dye injection into ex-vivo porcine tissue.
    • Performance was evaluated based on trajectory tracking accuracy and robustness to tissue load variations.

    Main Results:

    • The adaptive control scheme demonstrated superior trajectory tracking compared to the Feed-forward+PID controller.
    • The adaptive controller exhibited enhanced robustness when injecting into ex-vivo porcine tissue, accommodating biological variations.
    • The simplified model-based approach proved effective for controller design.

    Conclusions:

    • The developed sliding mode adaptive controller is a more effective and robust solution for needle-free jet injection systems.
    • This advanced control strategy holds promise for improving the precision and reliability of jet injection drug delivery.
    • Further research can explore adaptive control for more complex biological models and varied injection scenarios.