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Pregled bibliografske jedinice broj: 1272769

Model Predictive Control for Automatic Transmission Upshift Inertia Phase


Cvok, Ivan; Soldo, Jure; Deur, Joško; Ivanovic, Vladimir; Zhang, Yijing; Fujii, Yuji
Model Predictive Control for Automatic Transmission Upshift Inertia Phase // IEEE transactions on control systems technology, 31 (2023), 3260072, 15 doi:10.1109/TCST.2023.3260072 (međunarodna recenzija, članak, znanstveni)


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Naslov
Model Predictive Control for Automatic Transmission Upshift Inertia Phase

Autori
Cvok, Ivan ; Soldo, Jure ; Deur, Joško ; Ivanovic, Vladimir ; Zhang, Yijing ; Fujii, Yuji

Izvornik
IEEE transactions on control systems technology (1063-6536) 31 (2023); 3260072, 15

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Automatic transmission (AT) ; Inertia phase ; Model predictive control (MPC) ; Optimization ; Shift control

Sažetak
This article deals with model predictive control (MPC) design for automatic transmission (AT) upshift inertia phase, which aims to optimally coordinate the actions of oncoming (ONC) and off- going (OFG) clutches and engine and to facilitate calibration. The designed MPC strategy accounts for clutch actuation dynamics and constraints, while setting the tradeoff between three key and conflicting shift quality criteria: comfort ; duration ; and efficiency. The shift comfort and duration are ensured by minimizing output shaft torque and ONC clutch slip speed tracking errors, and the shift efficiency is reflected in clutch energy loss minimization on a prediction horizon. This allows for the calibration of the MPC performance through setting the inertia phase duration, the output shaft torque reference, cost function weighting coefficients, and constraints, rather than optimizing the shift control profiles themselves. The MPC problem is formulated as a constrained quadratic programming problem and efficiently solved online by an interior-point solver. The proposed MPC strategy is applicable to other transmissions with multiple actuators, such as parallel hybrid transmissions. The MPC system is examined through nonlinear powertrain model simulations for one to three shift and its performance is compared with an offline, multiobjective optimization-based control strategy. The MPC design flexibility and ease of calibration are demonstrated for different shift comfort and duration targets, as well as cost function tuning, and robustness with respect to clutch actuation parameter uncertainties is examined.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo



POVEZANOST RADA


Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb

Profili:

Avatar Url Ivan Cvok (autor)

Avatar Url Vladimir Ivanović (autor)

Avatar Url Joško Deur (autor)

Avatar Url Jure Soldo (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Cvok, Ivan; Soldo, Jure; Deur, Joško; Ivanovic, Vladimir; Zhang, Yijing; Fujii, Yuji
Model Predictive Control for Automatic Transmission Upshift Inertia Phase // IEEE transactions on control systems technology, 31 (2023), 3260072, 15 doi:10.1109/TCST.2023.3260072 (međunarodna recenzija, članak, znanstveni)
Cvok, I., Soldo, J., Deur, J., Ivanovic, V., Zhang, Y. & Fujii, Y. (2023) Model Predictive Control for Automatic Transmission Upshift Inertia Phase. IEEE transactions on control systems technology, 31, 3260072, 15 doi:10.1109/TCST.2023.3260072.
@article{article, author = {Cvok, Ivan and Soldo, Jure and Deur, Jo\v{s}ko and Ivanovic, Vladimir and Zhang, Yijing and Fujii, Yuji}, year = {2023}, pages = {15}, DOI = {10.1109/TCST.2023.3260072}, chapter = {3260072}, keywords = {Automatic transmission (AT), Inertia phase, Model predictive control (MPC), Optimization, Shift control}, journal = {IEEE transactions on control systems technology}, doi = {10.1109/TCST.2023.3260072}, volume = {31}, issn = {1063-6536}, title = {Model Predictive Control for Automatic Transmission Upshift Inertia Phase}, keyword = {Automatic transmission (AT), Inertia phase, Model predictive control (MPC), Optimization, Shift control}, chapternumber = {3260072} }
@article{article, author = {Cvok, Ivan and Soldo, Jure and Deur, Jo\v{s}ko and Ivanovic, Vladimir and Zhang, Yijing and Fujii, Yuji}, year = {2023}, pages = {15}, DOI = {10.1109/TCST.2023.3260072}, chapter = {3260072}, keywords = {Automatic transmission (AT), Inertia phase, Model predictive control (MPC), Optimization, Shift control}, journal = {IEEE transactions on control systems technology}, doi = {10.1109/TCST.2023.3260072}, volume = {31}, issn = {1063-6536}, title = {Model Predictive Control for Automatic Transmission Upshift Inertia Phase}, keyword = {Automatic transmission (AT), Inertia phase, Model predictive control (MPC), Optimization, Shift control}, chapternumber = {3260072} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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