Institute of Control Systems (IRS)
MS

M. Sc. Manuel Schwartz

  • Karlsruher Institut für Technologie (KIT)
    Campus Süd
    Institut für Regelungs- und Steuerungssysteme
    Geb. 11.20 (Engler-Villa)
    Kaiserstr. 12
    D-76131 Karlsruhe

Curriculum Vitae

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.

Research

Control of the driving dynamics of wheel-selectively driven and steered electric vehicles as well as identification of highly integrated mechatronic chassis systems by control allocation.

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.

 

 

Publications


2020
2019