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Teaching System Modeling and Feedback Control Systems: A Multidisciplinary Course in Mechanical Engineering and Electrical Engineering

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2013 ASEE Annual Conference & Exposition


Atlanta, Georgia

Publication Date

June 23, 2013

Start Date

June 23, 2013

End Date

June 26, 2013



Conference Session

Robotics, Mechatronics, and Control Systems - Multidisciplinary Perspectives

Tagged Division

Multidisciplinary Engineering

Page Count


Page Numbers

23.12.1 - 23.12.15

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Paper Authors


Li Tan Purdue University, North Central

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DR. LI TAN is currently with the College of Engineering and Technology at Purdue University North Central, Westville, Indiana. He received his Ph.D. degree in Electrical Engineering from the University of New Mexico in1992.
Dr. Tan is an IEEE senior member. His principal technical areas include digital signal processing, adaptive signal processing, active noise and vibration control, data compression and digital communications. He has published a number of papers in these areas. He has authored and co-authored two textbooks: Digital Signal Processing: Fundamentals and Applications, Elsevier/Academic Press, Second Edition, 2013; and Analog Signal Processing and Filter Design, Linus Publications, 2009. He has served as associate editors for the International Journal of Engineering Research and Innovation, and the International Journal of Modern Engineering.

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Jean Jiang Purdue University, North Central

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DR. JEAN JIANG is currently with the College of Engineering and Technology at Purdue University North Central in Westville, Indiana. Dr. Jiang has taught analog signal processing, digital signal processing, and control systems for a number of years.
Dr. Jiang is a member of the Institute of Electronic and Electronic Engineers (IEEE). Her principal research areas are in digital signal processing, adaptive signal processing, and control systems. She has published a number of papers in these areas. She has co-authored two textbooks: "Digital Signal Processing: Fundamentals and Applications", Second Edition, Elsevier, 2012 and "Analog Signal Processing and Filter Design", Linus Publications, 2009.

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Teaching System Modeling and Feedback Control Systems: A Multidisciplinary Course in Mechanical Engineering and Electrical EngineeringAbstractThis paper presents pedagogies and experiences in teaching system modeling and analysis aswell as feedback control systems in our mechanical engineering curriculum. The course is arequired multidisciplinary course to be offered at the junior level for mechanical engineering(ME) students. In addition, ME students who pursue the electrical engineering (EE) minor arerequired to concurrently complete the multidisciplinary course and the laboratory coursecontaining both lectures and labs with additional three contact hours per week. Themultidisciplinary course covers modeling and analysis of dynamic systems, including electrical,mechanical, thermal and electromechanical systems, and control system theory and applicationsconsisting of both open-loop and closed-loop system analysis, and feedback control design. Thelaboratory course mainly provides students with hands-on learning experiences. In order to accommodate these two groups of students, we have designed the coursebased on the following strategies: the multidisciplinary course not only covers the theoreticaldevelopment but also software simulations using MATLAB/Simulink. Furthermore, case studyprojects using simulation tools with real-world applications are also required. These simulationassignments and case study projects are carefully designed so that they can be constructed andtested in the laboratory course, which is a required course for the ME students who pursue theEE minor. In the laboratory course, students continue to explore hands-on learning experiencesby using a LabView platform. Again, since we offer a broad coverage of topics and case studieswith simulations in the multidisciplinary course, it will be beneficial to a majority of engineeringstudents. In this paper, we will explain course prerequisites, course content, laboratorydevelopment and teaching methods. We will address the outcomes of students learningachievement including applications of their acquired knowledge and skills for their futurecapstone senior design course. More importantly, we will examine the course assessmentaccording to the analysis of the collected data from grading student course work, courseevaluation and learning outcome survey. Finally, we will address the possible courseimprovements based on our assessment.Partial list of References:[1] C., Close, D., Frederick, Modeling and Analysis of Dynamic Systems, Houghton Mifflin,Company, Thrid Edition, 2001.[2] P. Lewis, C. Yang, Basic Control Systems Engineering, Prentice Hall, 1997.[3] J. Jiang, L. Tan, "Teaching Laplace Circuits and System Analysis with various EngineeringApplications in Mechanical Engineering Program," ASEE Annual Conference, LouisvilleKentucky, June 2010.[4] Zill M. Cullen, Advanced Engineering Mathematics, Fourth Edition, Jones and BartlettPublications, 2010.

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