Contour control for high-speed machining |
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Student(en): |
Betreuer: Goran Banjac, Alexander Liniger, Alisa Rupenyan |
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Beschreibung: In manufacturing industry there is a consistent demand for increased productivity. This is mainly motivated by the fact that the cycle time of a manufacturing process is directly related to its operational costs. At the same time, complexity and the need for higher precision of manufactured elements have also increased. In order to reduce geometric deviation of a machine from its commanded tool path, while at the same time providing high productivity, the motion control strategies for computer numerical controlled (CNC) machines are developed. In this project the student will compare different control strategies for path tracking of a bi-axial machine tool in order to determine the fastest and the most reliable strategy for real-time operation. One particular control strategy that can be used to achieve a good trade-off between tracking accuracy and the cycle time is the so called model predictive contouring control (MPCC), where path following control is adapted to suit high-speed bi-axial contouring applications. Following this approach, a linear time-varying model of the process can be used in order to reduce computational complexity of the control algorithm. The main tasks of the project are: - Getting familiar with model predictive control (MPC) - Formulating contour tracking errors for an MPCC implementation - Setting up an MPCC problem for a bi-axial system using available software tools by defining meaningful cost function and constraints of an optimization problem - Simulating the MPCC strategy in the closed-loop operation - Comparing performance of different numerical solvers that implement the MPCC strategy The project is in collaboration with inspire AG, the technology transfer organization partnering with ETH Zurich. Weitere Informationen |
Professor: John Lygeros |
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Projektcharakteristik: Typ: Art der Arbeit: Voraussetzungen: | |
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Anzahl StudentInnen: Status: open | |
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Projektstart: HS 2018, WS 2019, upon agreement Semester: | |
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