Control

Research

Control research at U-M encompasses everything from manufacturing systems to automobiles, prosthetic devices and robotics. Our faculty have also created award-winning tutorials for Matlab and Simulink.

  • Manufacturing: Researchers working with our Engineering Research Center for Reconfigurable Manufacturing Systems develop systems that can be adapted to changes in the marketplace. 
  • Automotive: Our engineers investigate automotive safety, handling, and autonomous vehicle control through modeling and simulation. They develop powertrain control systems, and work on diesel technology and braking methods for Commercial Heavy Vehicles. Their research also helps accelerate the adoption of fuel cell and hybrid vehicles. In addition, they work on developing tools to guarantee the safety of automated controllers for autonomous vehicles.
  • Robotics: Our work has led to autonomous ground robots that investigate rugged or dangerous terrain and devices that track the moving position of pedestrians or vehicles without GPS. We’ve developed navigation aids for the blind and those with limited mobility, haptic interface systems that exploit the sense of touch for rehabilitation or education and micro-mechatronic or soft robotic systems for use in bio-medical devices or in computers. 

Specialties

  • Robotics
  • Rehabilitation
  • Haptic devices
  • Biomechanics of motion
  • Prosthetic device development
  • MEMS and micro-mechatronic systems
  • Powertrain control systems and architectures
  • Fuel cell power and hydrogen forming
  • Logic control
  • Networked control systems
  • Manufacturing automation
  • Vehicle dynamics and controls
  • Time-delay systems

Recent News

In 1973, Yoram Koren is featured for his work on Numerical Control and reconfigurable manufacturing.

Improving the functionality of robotic and manufacturing systems "comes down to understanding your system and identifying a strategy for improving performance," says ME Assistant Professor Kira Barton, whose laboratory combines fundamental and experimental modeling and controls research, from multi-agent coordination to additive manufacturing

The Research Faculty Recognition Award recognizes a Research Assistant Professor or Assistant Research Scientist for exceptional scholarly achievements, as evidenced by publications and/or other scholarly activities in any academic field of study

This award was introduced to recognize outstanding young contributors to flexible automation who are 35 years old or younger at the time of awarding

The Challenge tasks students with brainstorming and developing innovative and adaptable manufacturing intelligence, drawing from data acquired using the MTConnect standard

Perkins' work in micro-sensor technology could change the way you understand your golf swing, free throw or fly-fishing technique