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Mechanical Impedance - Quantification and Control

Does the vibration of an object change with its mechanical properties? What can we understand by studying that change?

Mechanical Impedance

Mechanical impedance is a fundamental concept for understanding the dynamic behavior of systems subjected to vibration. It quantifies the relationship between the applied force and the resulting motion (velocity or displacement) in a mechanical system, providing important insights into how systems respond to dynamic forces. This makes it a valuable tool for analyzing and controlling vibration dynamics in various applications, from engineered systems to biological interactions.

One of the most important applications of mechanical impedance is the measurement of contact dynamics. By characterizing the resistance of a system to motion under the action of external forces, mechanical impedance can be used to detect and quantify contact events. This capability is particularly important in haptic systems, where tactile sensation and interaction with virtual or remote environments depend heavily on the accurate modeling and control of contact forces.

In haptics, contact dynamics is a cornerstone for generating realistic touch sensations. Quantifying the mechanical impedance of the human hand is critical for developing haptic devices that can replicate the feel of real-world interactions. Understanding hand impedance, for example, enables the development of systems that adapt to the user's grip force or movement, thus improving the accuracy and stability of haptic feedback. This is essential for applications such as virtual reality, teleoperation, and medical simulation, where precise control of contact and vibration dynamics is required to achieve a realistic and effective user experience.

Mechanical Impedance Estimation

Contact detection is an important aspect of safety applications. Whether in human machine interaction, robotics or industrial applications, detection and quantification of contact is an issue that garners interest. One way of detecting contact is by measuring the mechanical impedance of a system. Any sudden and significant change to the mechanical impedance of that system implies that a certain sudden and significant change to that systems mechanical properties occured. Which inturn implies the occurance of mechanical contact.

For that use case, we developed an embedded mechanical impedance classification system for electric screwdrivers. The classification of mechanical impedance is done on the screwdriver with the help of a machine learning model, an eccentric rotating mass (ERM) actuator and measurements from an inertia measurement unit (IMU). The vibration induced by the ERM travel through the body of the screw driver and gets captured by the IMU. These vibrations are then further processed and fed to the machine learning model as input for the classification process. The machine learning model can then classify the vibrations based on the different mechanical impedances of the system, where the different levels of contact to the screw driver are identified within 100ms.

Credits and previous works

Sep. 17, 2024 - Feb. 04, 2025 Gamification of mechanical impedance measurements Zayneb Sengraoui Project Work
May 02 - Nov. 10, 2025 Mechanical Impedance Classification using Convolutional Neural Networks for Power Tools Karim Touryani Master Thesis
May 09 - Sep. 18, 2025 Analysis and modelling of manual machining processes in aviation production through mechanical impedance measurement Till Kamlade Bachelor Thesis

Team

Ali Elnwegy

Ali Elnwegy
Address
Hamburg University of Technology
Mechatronik im Maschinenbau
Eißendorfer Straße 38 (O)
21073 Hamburg
Office
Building O
Room O0.013
Phone
Tel: +49 40 30601 2850
Email
ali.el-nwegy(at)tuhh.de