M.Sc. Elias Knöchelmann

M.Sc. Elias Knöchelmann
Address
Appelstraße 11/11a
30167 Hannover
Building
Room
M.Sc. Elias Knöchelmann
Address
Appelstraße 11/11a
30167 Hannover
Building
Room
Position
Research Staff
Robotics & Autonomous Systems

RESEARCH

  • Smart Control System for Increasing the Efficiency of Industrial DC Mircogrids

    The turnaround in energy policy is one of the major current challenges for the manufacturing industry in Germany. In addition to the creation of an efficient energy infrastructure at a supraregional level, local efforts are required by every energy user. Increasing energy efficiency in production, increasing the flexibility to respond to fluctuating energy supplies, and increasing the robustness of production to varying energy supply quality are tasks that must be intensified in the near future.

    In the industrial environment the 400V three-phase power supply is the standard. The rotational speed of rotary field machines, for this type of power supply sytem, depends on the mains frequency of the power supply. So converter systems are used to vary the frequency of the motor field and change the motor’s speed. The converter systems consist of a rectifier which supplies a DC voltage intermediate circuit, and a three-phase pulse inverter, which provides the rotating field for the motor. Since the rectifiers are usually designed as diode bridges and not as active front ends, no feedback to the 400V three-phase system is possible.By replacing the three-phase grid with a DC grid, it is possible to exchange electrical energy in the entire factory, which allows the use of a central energy storage at the factory level. The decentralized rectifiers are eliminated, resulting in space savings. The ability to integrate electrically commutated DC motors (EC motors) is increased. These are characterized by their high energy density and their ease of manufacture.

    In the field of DC grid installation technology is a great need for research in many areas. DC grid components are hardly standardized or industry-specific available. In addition, grid stability and load behavior must be analyzed.

    The possibility of energy exchange at the factory level is the focus of this project. Electrical energy generated by braking processes no longer has to be converted into heat in brake resistors, but can be distributed to other systems. The aim of this project is to develop intelligent control of the systems within a DC link circuit to reduce the energy absorbed by the production line. The next step is to extend the energy control system to energy storage and variable renewable energies. Emphasis is on the depth of simulation, the size of the influence of various factors, the energy storage control and the construction of an intelligent control, which actively intervenes in the process.

    The project is a cooperation project with Bosch Rexroth AG.

LECTURES

CURRENT STUDENT RESEARCH PROJECTS

  • There are interesting student projects anytime. If you would like to do some research, please send me an e-mail or meet me at the institute.

SUPERVISED STUDENT RESEARCH PROJECTS

2018

  • Master thesis: Modelling and Identification of the Drive Systems of an Industrial Robot
  • Project thesis: Robot Modeling using Machine Learning
  • Project thesis: Identification of the Inverse Dynamics of a Serial Robot in a Closed Control Loop
  • Bachelor thesis: Modelling, Manufacturing and Actuation of a Robot Arm with six Degrees of Freedom
  • Master thesis: Energetic Robot Modeling using Machine Learning
  • Bachelor thesis: Collision Detection in the Energetic Optimization of Robot Cells
  • Bachelor thesis: Monetary Standardization of Cost Functions for Cost-Optimal Control of DC Grids
  • Master thesis: Economic Model Predictive Control of a DC Grid
  • Project thesis (external): Reactive Power Control and Voltage Maintenance for a Medium Voltage Grid
  • Project thesis: Fuzzy Control of the DC Grid Voltage
  • Master thesis: Model Predictive Control of the Robot Trajectory to Reduce the Energy Absorption of an Industrial Robot
  • Bachelor thesis: Model Predictive Control of the Mains Voltage of a DC Microgrids

2017

  • Master thesis: Intelligent Brake Control to Reduce the Energy Consumption of Industrial Robots
  • Master thesis (external): Planning and Optimization of Industrial Plants using In-Process-Visualization based on Augmented Reality