Robotik & autonome Systeme

  • Design of Energy Efficient Mechatronic Systems based on Automated Controller Synthesis and Trajectory Planning
    Reducing the energy consumption is a major concern in industrial production systems. One approach is recuperating the braking energy of robot axes. We therefore propose an automated methodology that consists of three parts: A scenario-based language to flexibly specify the discrete production system behavior, an automated procedure to synthesize optimal control strategies from such specifications, including PLC code generation, and a procedure for the detailed trajectory optimization.
    Team: M. Sc. Elias Knöchelmann
    Year: 2013
    Sponsors: German Research Foundation (DFG)
  • Energy efficient path planning for industrial robots
    This project focuses on improving the energy efficiency of industrial robots by optimising the path planning algorithms. Intelligent path planning approaches can increase the energy efficiency by avoiding unfavourable operating points or by utilising the eletrical as well as the mechanical couplings of the axes. In order to optimise the path, it is necessary to simulate the comprehensive drive system as well as the robot's mechanics. The energy-optimal path is determined using non-linear optimisation algorithms.
    Year: 2015
    Sponsors: Industry
  • Smart Control System for Increasing the Efficiency of Industrial DC Mircogrids
    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.
    Team: M. Sc. Elias Knöchelmann
    Year: 2017
    Sponsors: Bosch Rexroth AG.