Black Box Identification and predictive Control of High Speed Machine Tools

Luigi del Re; O. Kaiser; R. Pfiffner

Black Box Identification and predictive Control of High Speed Machine Tools

Luigi del Re
, O. Kaiser
, R. Pfiffner

Institute of Design and Control of Mechatronical Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

High speed machine tooling allows to increase productivity and product quality, but presents new challenges for the control system. To meet them, this paper proposes to review the conventional control structure, restating the control problem in terms of a constrained finite horizon optimization problem, which can be solved efficiently with a MPC-QDMC algorithm. This approach is shown to allow to enhance significantly the precision attainable with fixed actuator choice. The model necessary for MPC is determined at best using a black box model identification.

Original language	English
Title of host publication	Tagungsband IEEE International Conference on Control Application
Place of Publication	NY, USA
Publisher	IEEE
Pages	480-485
Number of pages	6
Publication status	Published - Dec 1996

Fields of science

202 Electrical Engineering, Electronics, Information Engineering
202027 Mechatronics
202034 Control engineering
203027 Internal combustion engines
206001 Biomedical engineering
206002 Electro-medical engineering
207109 Pollutant emission

Cite this

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title = "Black Box Identification and predictive Control of High Speed Machine Tools",

abstract = "High speed machine tooling allows to increase productivity and product quality, but presents new challenges for the control system. To meet them, this paper proposes to review the conventional control structure, restating the control problem in terms of a constrained finite horizon optimization problem, which can be solved efficiently with a MPC-QDMC algorithm. This approach is shown to allow to enhance significantly the precision attainable with fixed actuator choice. The model necessary for MPC is determined at best using a black box model identification.",

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AU - Kaiser, O.

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N2 - High speed machine tooling allows to increase productivity and product quality, but presents new challenges for the control system. To meet them, this paper proposes to review the conventional control structure, restating the control problem in terms of a constrained finite horizon optimization problem, which can be solved efficiently with a MPC-QDMC algorithm. This approach is shown to allow to enhance significantly the precision attainable with fixed actuator choice. The model necessary for MPC is determined at best using a black box model identification.

AB - High speed machine tooling allows to increase productivity and product quality, but presents new challenges for the control system. To meet them, this paper proposes to review the conventional control structure, restating the control problem in terms of a constrained finite horizon optimization problem, which can be solved efficiently with a MPC-QDMC algorithm. This approach is shown to allow to enhance significantly the precision attainable with fixed actuator choice. The model necessary for MPC is determined at best using a black box model identification.

M3 - Conference proceedings

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EP - 485

BT - Tagungsband IEEE International Conference on Control Application

PB - IEEE

CY - NY, USA

ER -