Intro - ME 375 Dynamic System 375 System Modeling and...

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Unformatted text preview: ME 375 Dynamic System 375 System Modeling and Analysis Prof. Xinyan Deng School of Mechanical Engineering of Mechanical Engineering Purdue University ME375 Intro - 1 Course Objectives 1) Introduce systematic and unified modeling of lumped dynamic systems using first principles dynamic systems using first principles. 2) Provide mathematical tools for analysis and performance prediction of engineered systems. 3) Provide introduction to design of feedback controllers to achieve closed-loop stability and specified system performance performance. School of Mechanical Engineering Purdue University ME375 Intro - 2 1 Course Overview • Integrating Modeling, Analysis and Control of Machines and Physical Systems • Multi-Energy Domain System Modeling • Standard Format and Procedure • System Analysis (in time and frequency domains) • Feedback Control Control School of Mechanical Engineering Purdue University ME375 Intro - 3 Course Overview • Text – System Dynamics, by Palm Text available available via CourseSmart on-line: http://www.coursesmart.com/ on• References - see syllabus References • Homework - must be individual effort Homework • Matlab - necessary to complete homework • Exams - two midterm exams and one final Exams • Grading - see syllabus • Course Web site: Course http://web.ics.purdue.edu/~krousgri/me375 http://web.ics.purdue.edu/~krousgri/me375/ School of Mechanical Engineering Purdue University ME375 Intro - 4 2 What is a Model? • • • • • A set of assumptions? A diagram? diagram? A set of equations? A set of plots? A simulation? School of Mechanical Engineering Purdue University ME375 Intro - 5 Why do we need a Model? • To ensure reliable performance • To prevent failures prevent failures • To apply feedback control School of Mechanical Engineering Purdue University ME375 Intro - 6 3 Example • Cruise Control • Robotics School of Mechanical Engineering Purdue University ME375 Intro - 7 System Characteristics • • • • • Simple vs. Complex Lumped vs. Distributed vs Distributed Linear vs. Nonlinear Time-invariant vs. Time-varying TimeTimeContinuous vs. Discrete School of Mechanical Engineering Purdue University ME375 Intro - 8 4 Dynamic Systems • Models are the same regardless of the physical domain: = y ! Charge u!e = = y ! Transl. displ. y ! Angular displ. u! f u !" y ! Pressure dq u! dt !! # y # y ! u(t) y! • We only have to understand one model, but we have We understand model but four different systems! systems School of Mechanical Engineering Purdue University ME375 Intro - 9 Course Outline Introduction Components/ elements Mechanical Thermal Connections/ interconnects Electrical Electromech. Hydraulic Input/output vs. state-variable models Time-frequency tools of system analysis Feedback system design School of Mechanical Engineering Purdue University ME375 Intro - 10 5 ...
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