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.
| Original language | English |
|---|---|
| Pages (from-to) | 14350-14355 |
| Number of pages | 6 |
| Journal | IFAC-PapersOnLine |
| Volume | 53 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2020 |
| Event | 21st World Congress of the International Federation of Aufomatic Control (IFAC 2020 World Congress) - Berlin, Germany Duration: 12 Jul 2020 → 17 Jul 2020 Conference number: 21 https://www.ifac2020.org/ |
Bibliographical note
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.
Keywords
- Co-design
- Multi-objective optimization
- Optimal control
- Optimization
- Sequential quadratic programming