ME8285: Control Systems for Intelligent Vehicle Applications

3 CreditsField StudyOnline Available

This course focuses on a study of several advanced control design techniques and their applications to smart vehicles. The control system topics studied include lead and lag compensator design, loop shaping, analysis of system norms, H2-optimal control, feedback linearization, sliding surface control, and observer design. The vehicle application topics studied include cruise control, adaptive cruise control, automated lane keeping, automated highway systems, yaw stability control, active rollover prevention, engine control, and active and semi-active suspensions. In each application, a dynamic model is first developed that is simple enough for control system design, but at the same time, rich enough for capturing the essential features of the dynamics. The control design for each application is studied in-depth during lecture and further analyzed during hands-on homework.prereq: 5281 or EE 5231 or equiv

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A- Average (3.778)Most Common: A (50%)

This total also includes data from semesters with unknown instructors.

56 students
SWFDCBA
  • 4.24

    /5

    Recommend
  • 4.43

    /5

    Understanding
  • 4.30

    /5

    Interesting


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