TR2015-107
MPC and spatial governor for multistage precision manufacturing machines
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- , "MPC and Spatial Governor for Multistage Precision Manufacturing Machines", IFAC Conference on Nonlinear Model Predictive Control Conference (NMPC), DOI: 10.1016/j.ifacol.2015.11.311, September 2015, vol. 48, pp. 398-403.BibTeX TR2015-107 PDF
- @inproceedings{DiCairano2015sep,
- author = {{Di Cairano}, S. and Goldsmith, A. and Bortoff, S.A.},
- title = {{MPC and Spatial Governor for Multistage Precision Manufacturing Machines}},
- booktitle = {IFAC Conference on Nonlinear Model Predictive Control Conference (NMPC)},
- year = 2015,
- volume = 48,
- number = 23,
- pages = {398--403},
- month = sep,
- doi = {10.1016/j.ifacol.2015.11.311},
- url = {https://www.merl.com/publications/TR2015-107}
- }
- , "MPC and Spatial Governor for Multistage Precision Manufacturing Machines", IFAC Conference on Nonlinear Model Predictive Control Conference (NMPC), DOI: 10.1016/j.ifacol.2015.11.311, September 2015, vol. 48, pp. 398-403.
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MERL Contacts:
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Research Areas:
Abstract:
We highlight the potential of model predictive control (MPC) in precision manufacturing by considering the application to multistage processing machines that combine actuators with different operating ranges and different bandwidths to optimize the processing time, product quality, and to increase flexibility. The operation of these machines results in a constrained trajectory generation and control problem with reference-dependent constraints. We propose a design based on a spatial reference governor and a tracking MPC for real-time control of a dual stage processing machine. The method guarantees constraint satisfaction, finite time processing of a given spatial pattern, and real-time execution. Results on a real processing pattern generated using CAD-CAM are shown.
Related News & Events
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NEWS MERL researchers presented 3 papers at the 5th IFAC Nonlinear Model Predictive Control Conference Date: September 17, 2015
MERL Contacts: Stefano Di Cairano; Scott A. Bortoff; Abraham GoldsmithBrief- MERL researchers presented 3 papers at the 5th IFAC Nonlinear Model Predictive Control Conference. Approximately 150 attendees. Conference topics range from theory (existence, stability), to algorithms (optimization, design), to applications (process control, mechatronics, energy, automotive, aerospace). MERL was an industry sponsor for the conference. MERL researcher co-chaired the Industry Session on Industry perspective on Model Predictive Control. MERL researcher acted as Program Co-chair, organizing the conference program.