Apr 16, 2024  
2017-2018 Undergraduate Academic Catalog 
    
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2017-2018 Undergraduate Academic Catalog [ARCHIVED CATALOG]

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BE 4805 - Biomedical System Dynamics

3 lecture hours 0 lab hours 3 credits
Course Description
The objective of this course is to present topics associated with the analysis and modeling of dynamic systems and to apply these topics to electrical, mechanical, fluid, thermal and biomedical systems. The topics include the concepts of modeling linear time invariant (LTI) systems, creating state space representations of modeled systems, linearization of non-linear systems about an operating point, developing transfer functions, examining transient and steady-state responses and examining system performance. Through the exploration of system dynamics, the student is introduced to the analysis, design and applications of feedback control systems. Systems will be modeled and analyzed using MATLAB and Simulink. (prereq: ME 206 , EE 3032 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Develop models of mechanical, electrical, fluid thermal and biological systems in the frequency domain and in the time domain
  • Develop the transfer function for linear time-invariant (LTI) electrical, mechanical, fluid, thermal, and biological systems
  • Model a LTI systems in state-variable form
  • Solve for the time-domain response (impulse, step, ramp) of first and second order feedback transfer functions
  • Write the transfer function of first and second order feedback control systems
  • Solve for the stability factors and system error for LTI control systems
  • Use MATLAB to analyze feedback control systems
Prerequisites by Topic
  • Be able to represent continuous and discrete signals in the time-domain
  • Be able to represent continuous and discrete signals in the frequency-domain
  • An understanding of linear electronic systems
  • The ability to apply Feedback Control to the Engineering Design Process
Course Topics
  • Introduction and course expectations (1 class)
  • Modeling of the components of mechanical, electrical, fluid thermal and biological systems (6 classes)
  • Introduction to feedback control systems (1 class)
  • Models of physical systems (3 classes)
  • State-Variable Models (3 classes)
  • Models of biological systems with state variables (2 classes)
  • Linear time-invariant system responses (4 classes)
  • Closed loop Control linear time-invariant systems - Stability and Sensitivity (6 classes)
  • Analysis and design of biomedical engineering systems (2 classes)
  • Exams (2 classes)
Coordinator
Icaro dos Santos


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