M. Sc. Manuel Schwartz
Karlsruher Institut für Technologie (KIT)
Institut für Regelungs- und Steuerungssysteme
Geb. 11.20 (Engler-Villa)
Since 2011, bachelor’s studies of electrical engineering and information technology at the Otto-von-Guericke-Universität Magdeburg. Work on a research project on approximative calculation of moments of population dynamics systems (2013) and bachelor’s thesis on the design of a robust multi-value controller for a chemical reactor (2014). Practical work at the Research Center of Asea Brown Boveri (ABB) in Ladenburg (2014).
Since 2014, master’s studies of electrical engineering and information technology at Karlsruhe Institute of Technology, specialization in control technology. Master’s thesis on improving the solution enclosure of interval observers by use of an observer bundle, the asynchronous machine being used as an example (2016).
Since June 2016, member of the scientific staff of the Institute of Control Systems.
Chassis systems of vehicles ready for series production do not fully exploit the potential of completely electrified vehicles, because electric mobility research does not only result in the electrification of the drivetrain, but also in steer-by-wire systems that trigger steering actuators in every wheel and, thus, enhance movement options of vehicles. Increasing agility thanks to such wheel-selectively driven and steered vehicles gives rise to new mobility concepts. Advanced mechatronic systems for micromobility are to cope with urbanization.
Conventional chassis systems are to be scrutinized in principle. Based on a requirement-oriented approach, highly integrated mechatronic longitudinal and lateral assistance systems for automated vehicles, which are wheel-selectively driven and steered, are to be designed. Starting from wheel suspension with various degrees of freedom, suitable chassis systems are identified using control methods, such as control allocation, taking into account driving dynamics and constraints, such as comfort and driving safety.
Control allocation methods allow for the control of overactuated systems. In addition, other control objectives described by constraints, such as energy- or comfort-optimal driving, are met. Such methods are successfully used in aviation or space technology as well as in nautics and are being increasingly applied to the development of electrified vehicles and driver assistance systems. Hence, they are ideally suited for identifying novel chassis systems.
|Title||Type||Person in Charge|
|Entwurf eines Künstlichen Neuronalen Netzes zur Approximation eines Modellprädiktiven Reglers||Master Thesis|
Analysis of a Cascaded MPC Structure for Vehicle Motion Control [in press].
Schwartz, M.; Ludmann, L.; Hohmann, S.
2021. American Control Conference, May 24-28, 2021, Institute of Electrical and Electronics Engineers (IEEE)
Analysis of a Cascaded MPC Structure for Vehicle Motion Control.
Schwartz, M.; Ludmann, L.; Hohmann, S.
2021. Proceedings of the American Control Conference, ACC 2021, Virtual, New Orleans, 25 May 2021 - 28 May 2021, 198–205, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/ACC50511.2021.9482741
Design of an Active, Fault-tolerant Motion Control of Wheel-individual Controlled Vehicles.
Schwartz, M.; Sommer, M.; Hohmann, S.
2021. 2021 7th International Conference on Control, Automation and Robotics (ICCAR), 372–381, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCAR52225.2021.9463452
Guaranteed state estimation using a bundle of interval observers with adaptive gains applied to the induction machine.
Schwartz, M.; Krebs, S.; Hohmann, S.
2021. Sensors, 21 (8), Art.-Nr.: 2584. doi:10.3390/s21082584
Predictive and Bounded Reference Generation of the Actuators of Four-wheel Drive and Four-wheel Steer Vehicles.
Schwartz, M.; Zhao, K.; Hohmann, S.
2020. IEEE CCTA 2020 : 4th IEEE Conference on Control Technology and Applications : August 24-26, 2020, Montréal, Canada, 291–298, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CCTA41146.2020.9206296
Analytical Optimal Control Allocation with Time-varying Secondary Objectives.
Schwartz, M.; Mittelviefhaus, F.; Hohmann, S.
2020. 2020 6th International Conference on Control, Automation and Robotics (ICCAR) : April 20-23, 2020, Singapore, 247–254, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCAR49639.2020.9108002
Robust Position and Velocity Tracking Control of a Four-wheel Drive and Four-wheel Steered Electric Vehicle.
Schwartz, M.; Rudolf, T.; Hohmann, S.
2020. 2020 6th International Conference on Control, Automation and Robotics (ICCAR) : April 20-23, 2020, Singapore, 415–422, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCAR49639.2020.9108078
Kinematic Sensitivity Analysis of the Suspension Characteristics for the Initial Design of Four-Wheel Drive and Four-Wheel Steered Vehicles.
Schwartz, M.; Goosmann, T.; Hohmann, S.
2020. WCX SAE World Congress Experience, Detroit, MI, April 21-23, 2020. Proceedings, SAE International. doi:10.4271/2020-01-0990
Model Predictive Control Allocation of an Over-actuated Electric Vehicle with Single Wheel Actuators.
Schwartz, M.; Siebenrock, F.; Hohmann, S.
2019. IFAC-PapersOnLine, 52 (8), 162–169. doi:10.1016/j.ifacol.2019.08.065