Development of model predictive feed-rate control for force control applications in milling

Date

2025-4-08

Author

Akkoyun, Mehmetcan

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In this thesis, a model predictive feed-rate control method is proposed to control the total process force acting on the cutting tool in milling. The method consists of two stages. Firstly, an optimal feed-rate profile for tool position intervals is generated offline to maintain a constant peak force throughout the operation. Secondly, a model predictive controller predicts system behavior under dynamic constraints and adjusts the feed-rate to track this profile without exceeding it. For this purpose, dynamic and process behavior of the system is mathematically modeled, necessary parameters are identified, a simulation model is constructed, and subsequently verified. The controllers performance is then evaluated using the simulation model and it is implemented on the machine in real-time. Performance results show that the controller can reduce machining time and effectively control the process force.

Subject Keywords

Model predictive control, Feed-rate control, Process modeling, Feed axis modeling, Milling

URI

https://hdl.handle.net/11511/114609

Collections

Graduate School of Natural and Applied Sciences, Thesis