Apr 19, 2024  
2018-2019 Undergraduate Academic Catalog 
    
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2018-2019 Undergraduate Academic Catalog [ARCHIVED CATALOG]

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BE 4805 - Biomedical System Dynamics

3 lecture hours 0 lab hours 3 credits
Course Description
This course presents topics associated with analysis and modeling of dynamic systems as they apply to electrical, mechanical, fluid, thermal and biomedical systems. The concepts of transfer function development, state space representation, modeling of linear time invariant (LTI) systems, linearization of non-linear systems and system performance are all considered. 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 and time domain
  • Develop transfer functions for linear time-invariant (LTI) electrical, mechanical, fluid, thermal, and biological systems
  • Model LTI systems in state-variable form
  • Solve for the time-domain response (impulse, step, ramp) of first and second order systems
  • Write the transfer function of first and second order feedback control systems
  • Solve for the stability factors and system error for LTI systems
  • Use MATLAB and SIMULINK to analyze feedback control systems
Prerequisites by Topic
  • Representation of continuous and discrete signals in the time-domain
  • Representation of continuous and discrete signals in the frequency-domain
  • Determination of forces acting on rigid bodies in motion
  • Linear circuit analysis
Course Topics
  • Transfer function development for electrical, mechanical, fluid, thermal and biological systems   State-Variable modeling of LTI systems
  • Linearizing non-linear systems
  • Reduced Order Modeling
  • Time response of 1st and 2nd Order LTI Systems
  • System Identification
  • Designing for Time Response
  • Closed Loop Control Characteristics (Stability and Sensitivity)
Coordinator
Icaro dos Santos


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