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Dynamic Stability Analysis and Active Control for Chatter Suppression in Milling Processes
ME-A-03
Libat Kadovitz; libatov@ac.sce.ac.il
Advisor: Dr. Ziv Brand
SCE - Shamoon College of Engineering, Be’er-Sheva
Self-excited vibrations in milling, known as ‘chatter’, represent a significant limitation to machining accuracy, surface integrity, and tool life. These vibrations arise from regenerative effects and are highly sensitive to the system’s dynamic response and cutting conditions. This project investigates the dynamic stability of the milling process and assesses the feasibility of employing active control strategies to suppress chatter. A time-delay-based model was developed by the analysis of turning, extended to the milling context. Stability behavior was analyzed using a range of analytical and numerical methods, including stability lobe diagrams, Nyquist plots, Bode plots, root locus analysis, and time-domain simulations. Identifying the key parameters governing system stability is essential for evaluating potential feedback-based control that enhances process robustness and machining performance.
Keywords: active control, chatter, dynamic stability, machining dynamics, milling
CRC-Rotary Inverted Pendulum Control
ME-A-04
Shay Nisim Ohayon; shayoh@ac.sce.ac.il Dolev Pahima; dolevpa@ac.sce.ac.il
Advisors: Dr. Ziv Brand1, Mr. Gal Tamsut1
1SCE - Shamoon College of Engineering, Be’er-Sheva
This project presents the modeling, simulation, and control of a rotary inverted pendulum system, focusing on its nonlinear and underactuated dynamics. A dynamic model was derived using the Euler- Lagrange method and implemented in MATLAB/Simulink. Linearization was applied to obtain a state- space representation. A complete control framework was developed, including a swing-up strategy to transition the pendulum from downward to upright position. Controllers based on output feedback were implemented on a physical setup, while additional strategies, such as LQR and fuzzy logic control, were developed and tested in simulation. Experimental results validated this output-feedback-based implementation. Our project highlights the integration of theoretical modeling, control design, and practical implementation, offering insights relevant to robotics, mechatronics, and advanced control education.
Keywords: Euler-Lagrange, experimental validation, fuzzy logic control, LQR control, MATLAB/Simulink, output feedback, rotary inverted pendulum, state-space, swing-up