Co-design of a continuously variable transmission using sequential quadratic programming-based control optimization

C.A. Fahdzyana; M.C.F. Donkers; T. Hofman

doi:10.1016/j.ifacol.2020.12.1383

Co-design of a continuously variable transmission using sequential quadratic programming-based control optimization

C.A. Fahdzyana, M.C.F. Donkers, T. Hofman

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For systems with nonlinear dynamics, Dynamic Programming for control is commonly considered in the framework of integrated plant and control system design. Despite its popularity, this control strategy can run into some computational issues as the performance is dependent on the state and input discretization. In this paper, we propose a Sequential Quadratic Programming-based control optimization strategy for integrated system design, where both the plant and control are optimized for the case study of a continuously variable transmission. The proposed plant and control design problem will be solved using a nested strategy.

Originele taal-2	Engels
Pagina's (van-tot)	14350-14355
Aantal pagina's	6
Tijdschrift	IFAC-PapersOnLine
Volume	53
Nummer van het tijdschrift	2
DOI's	https://doi.org/10.1016/j.ifacol.2020.12.1383
Status	Gepubliceerd - 2020
Evenement	21st World Congress of the International Federation of Aufomatic Control (IFAC 2020 World Congress) - Berlin, Duitsland Duur: 12 jul. 2020 → 17 jul. 2020 Congresnummer: 21 https://www.ifac2020.org/

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Publisher Copyright:
Copyright © 2020 The Authors. This is an open access article under the CC BY-NC-ND license

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

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10.1016/j.ifacol.2020.12.1383

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title = "Co-design of a continuously variable transmission using sequential quadratic programming-based control optimization",

abstract = "For systems with nonlinear dynamics, Dynamic Programming for control is commonly considered in the framework of integrated plant and control system design. Despite its popularity, this control strategy can run into some computational issues as the performance is dependent on the state and input discretization. In this paper, we propose a Sequential Quadratic Programming-based control optimization strategy for integrated system design, where both the plant and control are optimized for the case study of a continuously variable transmission. The proposed plant and control design problem will be solved using a nested strategy.",

keywords = "Co-design, Multi-objective optimization, Optimal control, Optimization, Sequential quadratic programming",

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note = "Publisher Copyright: Copyright {\textcopyright} 2020 The Authors. This is an open access article under the CC BY-NC-ND license Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 21st World Congress of the International Federation of Aufomatic Control (IFAC 2020 World Congress), IFAC 2020 ; Conference date: 12-07-2020 Through 17-07-2020",

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AB - For systems with nonlinear dynamics, Dynamic Programming for control is commonly considered in the framework of integrated plant and control system design. Despite its popularity, this control strategy can run into some computational issues as the performance is dependent on the state and input discretization. In this paper, we propose a Sequential Quadratic Programming-based control optimization strategy for integrated system design, where both the plant and control are optimized for the case study of a continuously variable transmission. The proposed plant and control design problem will be solved using a nested strategy.

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KW - Multi-objective optimization

KW - Optimal control

KW - Optimization

KW - Sequential quadratic programming

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Co-design of a continuously variable transmission using sequential quadratic programming-based control optimization

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