--- _id: '34' author: - first_name: Michael full_name: Dellnitz, Michael last_name: Dellnitz - first_name: Julian full_name: Eckstein, Julian last_name: Eckstein - first_name: Kathrin full_name: Flaßkamp, Kathrin last_name: Flaßkamp - first_name: Patrick full_name: Friedel, Patrick last_name: Friedel - first_name: Christian full_name: Horenkamp, Christian last_name: Horenkamp - first_name: Ulrich full_name: Köhler, Ulrich last_name: Köhler - first_name: Sina full_name: Ober-Blöbaum, Sina last_name: Ober-Blöbaum - first_name: Sebastian full_name: Peitz, Sebastian last_name: Peitz - first_name: Sebastian full_name: Tiemeyer, Sebastian last_name: Tiemeyer citation: ama: 'Dellnitz M, Eckstein J, Flaßkamp K, et al. Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control. In: Progress in Industrial Mathematics at ECMI. Vol 22. Mathematics in Industry. Cham: Springer International Publishing; 2016:633-641. doi:10.1007/978-3-319-23413-7_87' apa: 'Dellnitz, M., Eckstein, J., Flaßkamp, K., Friedel, P., Horenkamp, C., Köhler, U., … Tiemeyer, S. (2016). Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control. In Progress in Industrial Mathematics at ECMI (Vol. 22, pp. 633–641). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-23413-7_87' bibtex: '@inproceedings{Dellnitz_Eckstein_Flaßkamp_Friedel_Horenkamp_Köhler_Ober-Blöbaum_Peitz_Tiemeyer_2016, place={Cham}, series={Mathematics in Industry}, title={Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control}, volume={22}, DOI={10.1007/978-3-319-23413-7_87}, booktitle={Progress in Industrial Mathematics at ECMI}, publisher={Springer International Publishing}, author={Dellnitz, Michael and Eckstein, Julian and Flaßkamp, Kathrin and Friedel, Patrick and Horenkamp, Christian and Köhler, Ulrich and Ober-Blöbaum, Sina and Peitz, Sebastian and Tiemeyer, Sebastian}, year={2016}, pages={633–641}, collection={Mathematics in Industry} }' chicago: 'Dellnitz, Michael, Julian Eckstein, Kathrin Flaßkamp, Patrick Friedel, Christian Horenkamp, Ulrich Köhler, Sina Ober-Blöbaum, Sebastian Peitz, and Sebastian Tiemeyer. “Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control.” In Progress in Industrial Mathematics at ECMI, 22:633–41. Mathematics in Industry. Cham: Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-23413-7_87.' ieee: M. Dellnitz et al., “Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control,” in Progress in Industrial Mathematics at ECMI, 2016, vol. 22, pp. 633–641. mla: Dellnitz, Michael, et al. “Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control.” Progress in Industrial Mathematics at ECMI, vol. 22, Springer International Publishing, 2016, pp. 633–41, doi:10.1007/978-3-319-23413-7_87. short: 'M. Dellnitz, J. Eckstein, K. Flaßkamp, P. Friedel, C. Horenkamp, U. Köhler, S. Ober-Blöbaum, S. Peitz, S. Tiemeyer, in: Progress in Industrial Mathematics at ECMI, Springer International Publishing, Cham, 2016, pp. 633–641.' date_created: 2017-07-26T15:25:33Z date_updated: 2022-01-06T06:59:14Z department: - _id: '27' - _id: '101' doi: 10.1007/978-3-319-23413-7_87 intvolume: ' 22' page: 633-641 place: Cham publication: Progress in Industrial Mathematics at ECMI publication_identifier: issn: - 2212-0173 publisher: Springer International Publishing series_title: Mathematics in Industry status: public title: Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control type: conference user_id: '24135' volume: 22 year: '2016' ... --- _id: '8759' abstract: - lang: eng text: In a wide range of applications, it is desirable to optimally control a system with respect to concurrent, potentially competing goals. This gives rise to a multiobjective optimal control problem where, instead of computing a single optimal solution, the set of optimal compromises, the so-called Pareto set, has to be approximated. When it is not possible to compute the entire control trajectory in advance, for instance due to uncertainties or unforeseeable events, model predictive control methods can be applied to control the system during operation in real time. In this article, we present an algorithm for the solution of multiobjective model predictive control problems. In an offline scenario, it can be used to compute the entire set of optimal compromises whereas in a real time scenario, one optimal compromise is computed according to an operator's preference. The results are illustrated using the example of an industrial laundry. A logistics model of the laundry is developed and then utilized in the optimization routine. Results are presented for an offline as well as an online scenario. author: - first_name: Sebastian full_name: Peitz, Sebastian id: '47427' last_name: Peitz orcid: https://orcid.org/0000-0002-3389-793X - first_name: Manuel full_name: Gräler, Manuel last_name: Gräler - first_name: Christian full_name: Henke, Christian last_name: Henke - first_name: Mirko Hessel-von full_name: Molo, Mirko Hessel-von last_name: Molo - first_name: Michael full_name: Dellnitz, Michael last_name: Dellnitz - first_name: Ansgar full_name: Trächtler, Ansgar last_name: Trächtler citation: ama: 'Peitz S, Gräler M, Henke C, Molo MH, Dellnitz M, Trächtler A. Multiobjective Model Predictive Control of an Industrial Laundry. In: Procedia Technology. ; 2016:483-490. doi:10.1016/j.protcy.2016.08.061' apa: Peitz, S., Gräler, M., Henke, C., Molo, M. H., Dellnitz, M., & Trächtler, A. (2016). Multiobjective Model Predictive Control of an Industrial Laundry. In Procedia Technology (pp. 483–490). https://doi.org/10.1016/j.protcy.2016.08.061 bibtex: '@inproceedings{Peitz_Gräler_Henke_Molo_Dellnitz_Trächtler_2016, title={Multiobjective Model Predictive Control of an Industrial Laundry}, DOI={10.1016/j.protcy.2016.08.061}, booktitle={Procedia Technology}, author={Peitz, Sebastian and Gräler, Manuel and Henke, Christian and Molo, Mirko Hessel-von and Dellnitz, Michael and Trächtler, Ansgar}, year={2016}, pages={483–490} }' chicago: Peitz, Sebastian, Manuel Gräler, Christian Henke, Mirko Hessel-von Molo, Michael Dellnitz, and Ansgar Trächtler. “Multiobjective Model Predictive Control of an Industrial Laundry.” In Procedia Technology, 483–90, 2016. https://doi.org/10.1016/j.protcy.2016.08.061. ieee: S. Peitz, M. Gräler, C. Henke, M. H. Molo, M. Dellnitz, and A. Trächtler, “Multiobjective Model Predictive Control of an Industrial Laundry,” in Procedia Technology, 2016, pp. 483–490. mla: Peitz, Sebastian, et al. “Multiobjective Model Predictive Control of an Industrial Laundry.” Procedia Technology, 2016, pp. 483–90, doi:10.1016/j.protcy.2016.08.061. short: 'S. Peitz, M. Gräler, C. Henke, M.H. Molo, M. Dellnitz, A. Trächtler, in: Procedia Technology, 2016, pp. 483–490.' date_created: 2019-03-29T13:35:59Z date_updated: 2022-01-06T07:04:00Z department: - _id: '101' doi: 10.1016/j.protcy.2016.08.061 language: - iso: eng page: 483-490 publication: Procedia Technology publication_identifier: issn: - 2212-0173 publication_status: published status: public title: Multiobjective Model Predictive Control of an Industrial Laundry type: conference user_id: '47427' year: '2016' ... --- _id: '8758' abstract: - lang: eng text: In this contribution we compare two different approaches to the implementation of a Model Predictive Controller in an electric vehicle with respect to the quality of the solution and real-time applicability. The goal is to develop an intelligent cruise control in order to extend the vehicle range, i.e. to minimize energy consumption, by computing the optimal torque profile for a given track. On the one hand, a path-based linear model with strong simplifications regarding the vehicle dynamics is used. On the other hand, a nonlinear model is employed in which the dynamics of the mechanical and electrical subsystem are modeled. author: - first_name: Julian full_name: Eckstein, Julian last_name: Eckstein - first_name: Sebastian full_name: Peitz, Sebastian id: '47427' last_name: Peitz orcid: https://orcid.org/0000-0002-3389-793X - first_name: Kai full_name: Schäfer, Kai last_name: Schäfer - first_name: Patrick full_name: Friedel, Patrick last_name: Friedel - first_name: Ulrich full_name: Köhler, Ulrich last_name: Köhler - first_name: 'Mirko ' full_name: 'Hessel von Molo, Mirko ' last_name: Hessel von Molo - first_name: Sina full_name: Ober-Blöbaum, Sina id: '16494' last_name: Ober-Blöbaum - first_name: Michael full_name: Dellnitz, Michael last_name: Dellnitz citation: ama: 'Eckstein J, Peitz S, Schäfer K, et al. A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles. In: Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering. Vol 26. ; 2016:465-472. doi:10.1016/j.protcy.2016.08.059' apa: 'Eckstein, J., Peitz, S., Schäfer, K., Friedel, P., Köhler, U., Hessel von Molo, M., Ober-Blöbaum, S., & Dellnitz, M. (2016). A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles. Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering, 26, 465–472. https://doi.org/10.1016/j.protcy.2016.08.059' bibtex: '@inproceedings{Eckstein_Peitz_Schäfer_Friedel_Köhler_Hessel von Molo_Ober-Blöbaum_Dellnitz_2016, title={A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles}, volume={26}, DOI={10.1016/j.protcy.2016.08.059}, booktitle={Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering}, author={Eckstein, Julian and Peitz, Sebastian and Schäfer, Kai and Friedel, Patrick and Köhler, Ulrich and Hessel von Molo, Mirko and Ober-Blöbaum, Sina and Dellnitz, Michael}, year={2016}, pages={465–472} }' chicago: 'Eckstein, Julian, Sebastian Peitz, Kai Schäfer, Patrick Friedel, Ulrich Köhler, Mirko Hessel von Molo, Sina Ober-Blöbaum, and Michael Dellnitz. “A Comparison of Two Predictive Approaches to Control the Longitudinal Dynamics of Electric Vehicles.” In Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering, 26:465–72, 2016. https://doi.org/10.1016/j.protcy.2016.08.059.' ieee: 'J. Eckstein et al., “A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles,” in Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering, 2016, vol. 26, pp. 465–472, doi: 10.1016/j.protcy.2016.08.059.' mla: 'Eckstein, Julian, et al. “A Comparison of Two Predictive Approaches to Control the Longitudinal Dynamics of Electric Vehicles.” Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering, vol. 26, 2016, pp. 465–72, doi:10.1016/j.protcy.2016.08.059.' short: 'J. Eckstein, S. Peitz, K. Schäfer, P. Friedel, U. Köhler, M. Hessel von Molo, S. Ober-Blöbaum, M. Dellnitz, in: Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering, 2016, pp. 465–472.' date_created: 2019-03-29T13:35:25Z date_updated: 2022-01-21T14:10:10Z department: - _id: '101' doi: 10.1016/j.protcy.2016.08.059 intvolume: ' 26' language: - iso: eng page: 465-472 publication: 'Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering' publication_identifier: issn: - 2212-0173 publication_status: published status: public title: A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles type: conference user_id: '15694' volume: 26 year: '2016' ... --- _id: '20071' author: - first_name: M. full_name: Dellnitz, M. last_name: Dellnitz - first_name: J. full_name: Eckstein, J. last_name: Eckstein - first_name: K. full_name: Flaßkamp, K. last_name: Flaßkamp - first_name: P. full_name: Friedel, P. last_name: Friedel - first_name: C. full_name: Horenkamp, C. last_name: Horenkamp - first_name: U. full_name: Köhler, U. last_name: Köhler - first_name: Sina full_name: Ober-Blöbaum, Sina id: '16494' last_name: Ober-Blöbaum - first_name: S. full_name: Peitz, S. last_name: Peitz - first_name: S. full_name: Tiemeyer, S. last_name: Tiemeyer citation: ama: Dellnitz M, Eckstein J, Flaßkamp K, et al. Development of an intelligent cruise control using optimal control methods . SysInt 2014 Proceedings. 2014;15(0):285-294. doi:http://dx.doi.org/10.1016/j.protcy.2014.09.082 apa: Dellnitz, M., Eckstein, J., Flaßkamp, K., Friedel, P., Horenkamp, C., Köhler, U., Ober-Blöbaum, S., Peitz, S., & Tiemeyer, S. (2014). Development of an intelligent cruise control using optimal control methods . SysInt 2014 Proceedings, 15(0), 285–294. http://dx.doi.org/10.1016/j.protcy.2014.09.082 bibtex: '@article{Dellnitz_Eckstein_Flaßkamp_Friedel_Horenkamp_Köhler_Ober-Blöbaum_Peitz_Tiemeyer_2014, title={Development of an intelligent cruise control using optimal control methods }, volume={15}, DOI={http://dx.doi.org/10.1016/j.protcy.2014.09.082}, number={0}, journal={SysInt 2014 Proceedings}, author={Dellnitz, M. and Eckstein, J. and Flaßkamp, K. and Friedel, P. and Horenkamp, C. and Köhler, U. and Ober-Blöbaum, Sina and Peitz, S. and Tiemeyer, S.}, year={2014}, pages={285–294} }' chicago: 'Dellnitz, M., J. Eckstein, K. Flaßkamp, P. Friedel, C. Horenkamp, U. Köhler, Sina Ober-Blöbaum, S. Peitz, and S. Tiemeyer. “Development of an Intelligent Cruise Control Using Optimal Control Methods .” SysInt 2014 Proceedings 15, no. 0 (2014): 285–94. http://dx.doi.org/10.1016/j.protcy.2014.09.082.' ieee: 'M. Dellnitz et al., “Development of an intelligent cruise control using optimal control methods ,” SysInt 2014 Proceedings, vol. 15, no. 0, pp. 285–294, 2014, doi: http://dx.doi.org/10.1016/j.protcy.2014.09.082.' mla: Dellnitz, M., et al. “Development of an Intelligent Cruise Control Using Optimal Control Methods .” SysInt 2014 Proceedings, vol. 15, no. 0, 2014, pp. 285–94, doi:http://dx.doi.org/10.1016/j.protcy.2014.09.082. short: M. Dellnitz, J. Eckstein, K. Flaßkamp, P. Friedel, C. Horenkamp, U. Köhler, S. Ober-Blöbaum, S. Peitz, S. Tiemeyer, SysInt 2014 Proceedings 15 (2014) 285–294. conference: location: Bremen, Germany date_created: 2020-10-15T15:57:11Z date_updated: 2022-01-21T14:28:52Z doi: http://dx.doi.org/10.1016/j.protcy.2014.09.082 intvolume: ' 15' issue: '0' language: - iso: eng page: 285 - 294 publication: SysInt 2014 Proceedings publication_identifier: issn: - 2212-0173 status: public title: 'Development of an intelligent cruise control using optimal control methods ' type: journal_article user_id: '15694' volume: 15 year: '2014' ...