BME 4110 - Control Systems for Biomedical Applications

3 lecture hours 2 lab hours 4 credits

Course Description
This course presents topics associated with analysis and modeling of dynamic systems as they apply to electrical, mechanical, 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. The course also presents classical feedback control theory and application of this topic to the solution of classical feedback control problems in biomedical engineering related areas. The students will expand their abilities to analyze control systems using Routh-Hurwitz, root-locus, and frequency response analyses. The students will use those techniques for P, PI and PID feedback control system design. MATLAB, Simulink, Embedded Coder and Stateflow will be used to create the control and safety logic of a realistic control mechanism. In the laboratory, the student will design and implement both in software and in hardware the temperature control of an infant warmer/incubator.
Prereq: ELE 3300, BME 3510 (quarter system prereq: EE 3032)
Note: This course is not available for students with credit for ELE 3701.
This course meets the following Raider Core CLO Requirement: None

Course Learning Outcomes
Upon successful completion of this course, the student will be able to:

Develop models of mechanical, electrical, thermal, and biological systems in the frequency and time domains
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
Solve complex engineering problems using two or more domains of knowledge
Solve for system stability
Use root-locus and frequency domain techniques to analyze and design first and second order LTI feedback control systems
Apply knowledge of classical analog feedback control theory in the laboratory
Design P, PI, and PID temperature controllers to be used to control the skin temperature of infants using infant warmers/incubators
Use MATLAB, Simulink, Embedded Coder and Stateflow to analyze and design feedback control systems

Prerequisites by Topic

Representation of continuous signals in the time-domain
Representation of continuous signals in the frequency-domain
Determination of forces acting on rigid bodies in motion
Linear circuit analysis
Heat transfer principles

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)
Use of Simulink in controls systems

Laboratory Topics

Use of Stateflow as part of a control mechanism
Use of Embedded Coder to program a microcontroller that is part of a control loop
Use of Simulink in conjunction with Embedded Coder and Stateflow for real-time control
Use of Simulink to simulate and design controls systems
Reverse engineering of a commercially available infant warmer/incubator
Step response and system identification of an infant warmer/incubator
On-off temperature control of the skin temperature of a simulated patient using an infant warmer/incubator with some requirements based on IEC 60601-2-19
Temperature control of the skin temperature of a simulated patient using an infant warmer/incubator using P, PI and PID controllers with some requirements based on IEC 60601-2-19

Coordinator
Dr. Icaro dos Santos

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