Robert D. Lorenz

Consolidated Papers Professor of Controls Engineering

Room 2025, Mech. Engr.
1513 University Avenue
Madison, WI 53706

Ph: (608) 262-5343
Fax: (608) 262-5999
lorenz@engr.wisc.edu


Profile Summary

A second major focus is identifying and controlling nonlinear electro-mechanics and power electronics in industrial, aerospace, and office automation systems. In this area, digital signal processing and estimation techniques, as well as neural network pattern recognition techniques, are investigated. Load dynamics often dominate the control requirements for the power electronics and electromagnetics. One significant focus is motion control for industrial and aerospace applications. In these areas, the dynamic properties of power electronic and electromagnetic conversion to mechanical force or torque often negatively affect the system being controlled. However, these same dynamic properties can be advantageous in improving the robustness of the estimatedsignals from such systems if they are optimized as part of the designprocess. Thus, a major current effort is in sensorless design methodologieswhereby the sensing, control, electromagnetic and power electronic design are fully integrated to avoid the need for additional sensors. Professor Lorenz's research focuses on advancing the practical use of modern control and estimation theory in electromechanics. This area is inherently multi-disciplinary. Processor-based control, estimation and signal processing theory link electromagnetic topologies for sensing andpower conversion, while the discrete nature of power electronics oftenprovides significant controller design constraints.

Education

  • PhD 1984, University of Wisconsin-Madison

Research Interests

  • Control of electromagnetic actuators and power electronics
  • Integration of sensing and control in power conversion
  • Physics-based multivariable control design methodologies
  • Design for sensing and control using multi-physics integration

Awards, Honors and Societies

IEEE Kaufman Award (2013)

Courses

Fall 2014-2015

  • ECE 790 - Master\'s Research or Thesis

  • ECE 890 - Pre-Dissertator\'s Research
  • ECE 990 - Research or Thesis
  • ECE 999 - Advanced Independent Study
  • ECE 491 - Senior Design Project
  • ECE 699 - Advanced Independent Study
  • ME 890 - PhD Research and Thesis
  • ME 990 - Dissertator Research and Thesis
  • ME 999 - Advanced Independent Study
  • ME 699 - Advanced Independent Study
  • ME 790 - Master\'s Research and Thesis
  • ME 890 - PhD Research and Thesis
  • ME 790 - Master\'s Research and Thesis
  • ME 699 - Advanced Independent Study
  • ME 577 - Automatic Controls Laboratory
  • ME 492 - Mechanical Engineering Projects II
  • ME 491 - Mechanical Engineering Projects I
  • ME 999 - Advanced Independent Study
  • ME 990 - Dissertator Research and Thesis
  • ME 291 - Ungergraduate Mechanical Engineering Projects
  • ME 489 - Honors in Research
  • ECE 577 - Automatic Controls Laboratory
  • ECE 699 - Advanced Independent Study
  • ECE 491 - Senior Design Project
  • ECE 999 - Advanced Independent Study
  • ECE 990 - Research or Thesis
  • ECE 890 - Pre-Dissertator\'s Research
  • ECE 790 - Master\'s Research or Thesis
  • ME 790 - Master\'s Research and Thesis
  • ME 746 - Dynamics of Controlled Systems
  • ME 699 - Advanced Independent Study
  • ME 601 - Special Topics in Mechanical Engineering
  • ME 491 - Mechanical Engineering Projects I
  • ME 999 - Advanced Independent Study
  • ME 990 - Dissertator Research and Thesis
  • ME 890 - PhD Research and Thesis
  • ME 489 - Honors in Research
  • ECE 999 - Advanced Independent Study
  • ECE 990 - Research or Thesis
  • ECE 890 - Pre-Dissertator\'s Research
  • ECE 790 - Master\'s Research or Thesis
  • Profile Summary

    A second major focus is identifying and controlling nonlinear electro-mechanics and power electronics in industrial, aerospace, and office automation systems. In this area, digital signal processing and estimation techniques, as well as neural network pattern recognition techniques, are investigated. Load dynamics often dominate the control requirements for the power electronics and electromagnetics. One significant focus is motion control for industrial and aerospace applications. In these areas, the dynamic properties of power electronic and electromagnetic conversion to mechanical force or torque often negatively affect the system being controlled. However, these same dynamic properties can be advantageous in improving the robustness of the estimatedsignals from such systems if they are optimized as part of the designprocess. Thus, a major current effort is in sensorless design methodologieswhereby the sensing, control, electromagnetic and power electronic design are fully integrated to avoid the need for additional sensors. Professor Lorenz\'s research focuses on advancing the practical use of modern control and estimation theory in electromechanics. This area is inherently multi-disciplinary. Processor-based control, estimation and signal processing theory link electromagnetic topologies for sensing andpower conversion, while the discrete nature of power electronics oftenprovides significant controller design constraints.


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