Sreeja, C, and Godwinraj, D. (2024) Precision Control and Hysteresis Modeling of Piezoelectric Nano-Positioning Systems for Enhanced Healthcare Applications. In: Proceedings of the IEEE International Conference for Emerging Technology. From: INCET 2024: 5th IEEE International Conference for Emerging Technology, 24-26 May 2024, Belgaum, India.

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Abstract

The precise control and manipulation of objects at the nanoscale is the focus of nano positioning systems, which hold promise for use in a variety of healthcare and medical fields, including drug delivery systems, lab-on-a-chip devices, biomedical research, microsurgery and minimally invasive procedures, and nanoscale imaging and diagnostics. Modern healthcare relies heavily on health diagnostic gadgets and algorithms because they make it possible to accurately and quickly diagnose a wide range of medical disorders. Robustness is an essential element in practical implementation. However, creep, ysteresis, and friction in a linear actuator affect output motion precision and may undermine system stability. Tracking control and Bouc-Wen hysteresis modelling for piezoelectric actuators are examined in this paper. The actuator can be used in optical systems, microscope stages, nano-positioning platforms, and other precision positioning systems because to its small size and high-resolution displacement capabilities. The system's static and dynamic behaviour is analyzed using a Bouc-Wen non-symmetric model. The Bouc-Wen model is useful for simulating piezoelectric actuator system hysteresis because to its good agreement between anticipated and actual curves. The Hysteresis model parameters are optimized using the parameter optimization toolbox in MATLAB. PID control is examined for the system's tracking performance and hysteresis, and it is discovered to provide improved tracking performance.

Item ID:	89572
Item Type:	Conference Item (Research - E1)
ISBN:	979-8-3503-6115-5
Copyright Information:	© 2024 IEEE
Date Deposited:	17 Nov 2025 23:44
FoR Codes:	40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400705 Control engineering @ 50% 40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400799 Control engineering, mechatronics and robotics not elsewhere classified @ 50%
SEO Codes:	24 MANUFACTURING > 2410 Instrumentation > 241001 Industrial instruments @ 50% 24 MANUFACTURING > 2410 Instrumentation > 241099 Instrumentation not elsewhere classified @ 50%
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