We are interested in the development of novel and efficient strategies for the design of actively-controlled dynamic engineering systems, using optimization. Specifically, by accounting for the bi-directional coupling that exist between the physical attributes of the dynamic system (i.e. plant) and its control, we seek superior solutions that are not always accessible through conventional legacy design approaches. This integrated system-level approach is known as control co-design (CCD). While CCD constitutes the bulk of our research in this area, our work extends beyond CCD as it integrates additional interaction effects from other disciplines, such as layout optimization and architecture selection [J7].
With the goal of developing the foundational theory, our work has focused on various aspects of CCD, including the usage of numerical solution methods such as direct transcription [T1], comparative investigation of simultaneous and nested coordination strategies [J5-C20], usage of linear-quadratic methods for solving non-linear CCD problems [T2-C18], etc. An important challenge in CCD research is the presence of uncertainties and how it can be captured effectively through CCD paradigm. This research focus, which is known as uncertain CCD (UCCD) includes the development of various UCCD formulations [J14], and exploration of some solution strategies using efficient uncertainty propagation techniques such as generalized polynomial chaos [C30]. Among others, these research efforts have been applied to real-world applications such as wave energy converter farms[C1-C3], natural gas power plants with thermal storage and carbon capture [J10-C26], floating offshore wind turbine [C22], strain-actuated solar array systems [J4].
2023 |
[C36] | A. K. Sundarrajan, D. R. Herber. 'Using high-fidelity time-domain simulation data to construct multi-fidelity state derivative function surrogate models for use in control and optimization.' In ASME 2023 International Mechanical Engineering Congress & Exposition, IMECE2023-112316, Nov 2023. |
[J14] | S. Azad, D. R. Herber. 'An overview of uncertain control co-design formulations.' ASME Journal of Mechanical Design, 145(9), p. 091709, Sep 2023. |
[C34] | S. Azad, D. R. Herber. 'Concurrent probabilistic control co-design and layout optimization of wave energy converter farms using surrogate modeling.' In ASME 2023 International Design Engineering Technical Conferences, DETC2023-116896, Boston, MA, USA, Aug 2023. |
2022 |
[C30] | S. Azad, D. R. Herber. 'Investigations into uncertain control co-design implementations for stochastic in expectation and worst-case robust.' In ASME 2022 International Mechanical Engineering Congress & Exposition, IMECE2022-95229, Columbus, OH, USA, Nov 2022. |
[C26] | R. Vercellino, E. J. Markey, B. J. Limb, M. D. Pisciotta, J. Huyett, S. D. Garland, T. M. Bandhauer, J. C. Quinn, P. Psarras, D. R. Herber. 'Control co-design optimization of natural gas power plants with carbon capture and thermal storage.' In ASME 2022 International Design Engineering Technical Conferences, DETC2022-90021, St. Louis, MO, USA, Aug 2022. |
2021 |
[C22] | A. K. Sundarrajan, Y. H. Lee, J. T. Allison, D. R. Herber. 'Open-loop control co-design of floating offshore wind turbines using linear parameter-varying models.' In ASME 2021 International Design Engineering Technical Conferences, DETC2021-67573, Aug 2021. |
[C20] | A. K. Sundarrajan, D. R. Herber. 'Towards a fair comparison between the nested and simultaneous control co-design methods using an active suspension case study.' In American Control Conference, May 2021. |
2020 |
[C18] | D. R. Herber, A. K. Sundarrajan. 'On the uses of linear-quadratic methods in solving nonlinear dynamic optimization problems with direct transcription.' In ASME 2020 International Mechanical Engineering Congress & Exposition, IMECE2020-23885, Nov 2020. |
2019 |
[J7] | D. R. Herber, J. T. Allison. 'A problem class with combined architecture, plant, and control design applied to vehicle suspensions.' ASME Journal of Mechanical Design, 141(10), p. 101401, Oct 2019. |
[J5] | D. R. Herber, J. T. Allison. 'Nested and simultaneous solution strategies for general combined plant and control design problems.' ASME Journal of Mechanical Design, 141(1), p. 011402, Jan 2019. |
2017 |
[J4] | C. M. Chilan, D. R. Herber, Y. K. Nakka, S. Chung, J. T. Allison, J. B. Aldrich, O. S. Alvarez-Salazar. 'Co-design of strain-actuated solar arrays for spacecraft precision pointing and jitter reduction.' AIAA Journal, 55(9), p. 3180–3195, Sep 2017. |
2016 |
[C7] | C. M. Chilan, D. R. Herber, Y. K. Nakka, S. Chung, J. T. Allison. 'Co-design of strain-actuated solar arrays for precision pointing and jitter reduction.' In AIAA 2016 Science and Technology Forum and Exposition, AIAA-2016-0162, San Diego, CA, USA, Jan 2016. |
2015 |
[C6] | A. P. Deshmukh, D. R. Herber, J. T. Allison. 'Bridging the gap between open-loop and closed-loop control in co-design: A framework for complete optimal plant and control architecture design.' In 2015 American Control Conference, p. 4916–4922, Chicago, IL, USA, Jul 2015. |
[C5] | J. T. Allison, D. R. Herber, A. P. Deshmukh. 'Integrated design of dynamic sustainable energy systems.' In 2015 International Conference on Engineering Design, Vol. 1, p. 299–308, Milan, Italy, Jul 2015. |
2014 |
[J1] | J. T. Allison, D. R. Herber. 'Multidisciplinary design optimization of dynamic engineering systems.' AIAA Journal, 52(4), p. 691–710, Apr 2014. |
2013 |
[C2] | J. T. Allison, D. R. Herber. 'Multidisciplinary design optimization of dynamic engineering systems.' In AIAA 2013 Multidisciplinary Design Optimization Specialist Conference, AIAA 2013-1462, p. 1–30, Boston, MA, USA, Apr 2013. |