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A new approach for online multiobjective optimization of mechatronic systems

  • Katrin WittingEmail author
  • Bernd Schulz
  • Michael Dellnitz
  • Joachim Böcker
  • Norbert Fröhleke
Special Section SFB 614

Abstract

We present a new concept for online multiobjective optimization and its application to the optimization of the operating point assignment for a doubly-fed linear motor. This problem leads to a time-dependent multiobjective optimization problem. In contrast to classical optimization where the aim is to find the (global) minimum of a single function, we want to simultaneously minimize k objective functions. The solution to this problem is given by the set of optimal compromises, the so-called Pareto set. In the case of the linear motor, there are two conflicting aims which both have to be maximized: the degree of efficiency and the inverter utilization factor. The objective functions depend on velocity, force and power, which can be modeled as time-dependent parameters. For a fixed point of time, the entire corresponding Pareto set can be computed by means of a recently developed set-oriented numerical method. An online computation of the time-dependent Pareto sets is not possible, because the computation itself is too complex. Therefore, we combine the computation of the Pareto set with numerical path following techniques. Under certain smoothness assumptions the set of Pareto points can be characterized as the set of zeros of a certain function. Here, path following allows to track the evolution of a given solution point through time.

Keywords

Multiobjective online optimization Time-dependent Pareto sets Decision making Numerical path following methods Linear motor Operating point assignment Self-optimization 

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Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  • Katrin Witting
    • 1
    Email author
  • Bernd Schulz
    • 1
  • Michael Dellnitz
    • 1
  • Joachim Böcker
    • 1
  • Norbert Fröhleke
    • 1
  1. 1.Faculty of Computer Science, Electrical Engineering and MathematicsUniversity of PaderbornPaderbornGermany

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