Control Systems for Biomedical Applications

Catalog 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.