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.
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
Analytical Optimal Control Allocation with Time-varying Secondary Objectives.
Schwartz, M.; Mittelviefhaus, F.; Hohmann, S.
2020. IEEE ICCAR 2020
Robust Position and Velocity Tracking Control of a Four-wheel Drive and Four-wheel Steered Electric Vehicle.
Schwartz, M.; Rudolf, T.; Hohmann, S.
2020. IEEE ICCAR
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, Warrendale (PA). 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