Mar 23, 2023  
2019-2020 Undergraduate Academic Catalog 
2019-2020 Undergraduate Academic Catalog [ARCHIVED CATALOG]

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EE 3720 - Control Systems

3 lecture hours 2 lab hours 4 credits
Course Description
Students are introduced to the fundamentals of automatic control systems including analysis and design. Classical control system topics include system response and performance characteristics, stability criteria and analysis, dominant pole approximation, phase and PID compensator design. MATLAB and Simulink are used to aid in the analysis and design of control systems. The laboratory work introduces modern techniques needed for the design and implementation of automatic control systems. (prereq: EE 3050  or EE 3051B )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Analyze a system’s time-domain performance
  • Simplify system block diagrams
  • Determine system stability using Routh-Hurwitz criterion, including for a single parameter variation
  • Determine steady-state error in a system for typical inputs, including a disturbance input
  • Obtain the root-locus for typical open-loop transfer functions
  • Design closed-loop phase-type and PID control systems by root-locus techniques
  • Design and implement real-time servo-control systems in laboratory
  • Write a technical report about a laboratory design project
  • Realize closed loop controllers with analog and digital networks
  • Design a state-feedback controller for a system in state-space representation

Prerequisites by Topic
  • Obtain a linear dynamic model (state space and transfer function) of physical systems, including electrical, mechanical and electromechanical systems
  • Analyze systems for dynamic time-domain response
  • Predict system response using analytic and digital simulation methods

Course Topics
  • Prerequisite review: modeling of electromechanical systems and time-domain response analysis (3 classes)
  • Block diagram system analysis (3 classes)
  • Stability analysis via Routh-Hurwitz criterion (2 classes)
  • Steady-state error analysis (2 classes)
  • Root-locus analysis (3 classes)
  • Root-locus design: phase-lead, phase-lag, PID controller designs (6 classes)
  • State-space analysis: conversions to and from transfer functions, stability and steady-state error (3 classes)
  • State-space controller design (3 classes)
  • Reviews and examinations (5 classes)

Laboratory Topics
  • Introduction to data acquisition and real-time control hardware
  • Feedback system simulation
  • System modeling using time-domain measurements
  • Position feedback control design project
  • Analog feedback control design project
  • Error-improving velocity feedback control design project
  • Phase-lead compensated position control design
  • Introduction to state-space control

Dr. Jay Wierer

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