Development of a model predictive controller for an active torsional vibration damper to suppress torsional vibrations in vehicle powertrains. (January 2022)
- Record Type:
- Journal Article
- Title:
- Development of a model predictive controller for an active torsional vibration damper to suppress torsional vibrations in vehicle powertrains. (January 2022)
- Main Title:
- Development of a model predictive controller for an active torsional vibration damper to suppress torsional vibrations in vehicle powertrains
- Authors:
- Yüceşan, Alişan
Mugan, Ata - Abstract:
- The pressure of exhaust emission regulations on automotive manufacturers to reduce environmental pollution and fuel consumption of internal combustion engines (ICEs) have stimulated the works on the downsizing, downspeeding, and turbo supercharging concepts which result in boosted engine torsional vibrations. Despite significant momentum in the implementation of those concepts in modern ICEs in recent decades, similar progress has not taken place in parallel at torsional vibration isolation systems. To this end, this article centers on the development and implementation of a model predictive controller (MPC) on a novel active torsional vibration damper (ATVD) in which inertia, stiffness rate, and damping rate parameters can be varied to minimize torsional vibration transmission to the vehicle powertrain. Dynamic response of the ATVD is examined using an MPC inside a closed-loop control architecture with predicted variables. The MPC structure, state-space plant model, and physical constraint definitions are composed to be utilized in prediction models at various engine operating points. The MPC performance is evaluated in a co-simulation environment using Simcenter Amesim, NX Motion, and Matlab Simulink software, and are compared with that of the fuzzy logic controller (FLC). The simulation results clearly indicate that the MPC applied to the ATVD system has certain advantages over the FLC and is able to provide satisfactory isolation of the powertrain from engine-borneThe pressure of exhaust emission regulations on automotive manufacturers to reduce environmental pollution and fuel consumption of internal combustion engines (ICEs) have stimulated the works on the downsizing, downspeeding, and turbo supercharging concepts which result in boosted engine torsional vibrations. Despite significant momentum in the implementation of those concepts in modern ICEs in recent decades, similar progress has not taken place in parallel at torsional vibration isolation systems. To this end, this article centers on the development and implementation of a model predictive controller (MPC) on a novel active torsional vibration damper (ATVD) in which inertia, stiffness rate, and damping rate parameters can be varied to minimize torsional vibration transmission to the vehicle powertrain. Dynamic response of the ATVD is examined using an MPC inside a closed-loop control architecture with predicted variables. The MPC structure, state-space plant model, and physical constraint definitions are composed to be utilized in prediction models at various engine operating points. The MPC performance is evaluated in a co-simulation environment using Simcenter Amesim, NX Motion, and Matlab Simulink software, and are compared with that of the fuzzy logic controller (FLC). The simulation results clearly indicate that the MPC applied to the ATVD system has certain advantages over the FLC and is able to provide satisfactory isolation of the powertrain from engine-borne torsional vibrations while satisfying the physical constraints. … (more)
- Is Part Of:
- Proceedings of the Institution of Mechanical Engineers. Volume 236:Number 1(2022)
- Journal:
- Proceedings of the Institution of Mechanical Engineers
- Issue:
- Volume 236:Number 1(2022)
- Issue Display:
- Volume 236, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 236
- Issue:
- 1
- Issue Sort Value:
- 2022-0236-0001-0000
- Page Start:
- 127
- Page End:
- 141
- Publication Date:
- 2022-01
- Subjects:
- Active vibration control -- torsional vibrations -- model predictive control
Mechanical engineering -- Congresses
Transportation engineering -- Congresses
629.2 - Journal URLs:
- http://pid.sagepub.com/ ↗
http://www.uk.sagepub.com/home.nav ↗
http://journals.pepublishing.com/content/119783 ↗ - DOI:
- 10.1177/09544070211014791 ↗
- Languages:
- English
- ISSNs:
- 0954-4070
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17983.xml