Apr 18, 2024  
2017-2018 Undergraduate Academic Catalog 
    
2017-2018 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
  • Analyze systems using frequency response methods: Bode diagrams
  • Maintain a laboratory notebook, either electronically or in paper form

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 and assessment (1 class)
  • Overview of feedback systems (1 class)
  • Electromechanical system modeling review (1 class)
  • Time-domain response and performance indices (4 classes)
  • Block diagram representation and reduction, Mason’s gain formula (3 classes)
  • Control system characteristics; stability analysis via Routh-Hurwitz criterion, steady-state error analysis (4 classes)
  • Root-locus analysis (3 classes)
  • Root-locus design; phase lead, phase-lag, PID controller designs (5 classes)
  • Frequency response analysis (2 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
  • Error-improving velocity feedback control design project
  • Phase-lead compensated position control design (digital controller)
  • Phase-lead compensated position control design (analog controller)
  • System modeling using frequency response measurements

Coordinator
Jay Wierer



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