ࡱ> UWT R_1bjbj86rrN 44444HHH84LH594448888888$!;=H8E44444484448"""4448"48""447H U,(6p89059B6>?447478>>$4l744"4444488|444594444?444444444, : DN2 XXXXXX Course code: Course name: Lecture Hours: Laboratory Hours: Credits: Term(If necessary): Prerequisite(s): Course Description: This course is to explore & & Course Outcomes: After completing this course, a student should be able to: Develop Analyze Design.. Use Course Content: Lectures and Lecture Hours: Introduction 2 - xxx - xxx - xxx Laplace transform 2 - xxx - xxx - xxx Laboratories and Laboratory Hours: 1. 2. 3. Grading: Prerequisite quiz 3% Homework 10% Inclass Quizzes 5% Group Presentation 5% 2 Midterm Exams 40% Project 15% Final 17% Instructor Evaluation 5% Text & Reference Book: K. Ogata, System Dynamics, 4th ed., 2004, ISBN 0-13-142462-9. :yO ME357 System Dynamics Lecture Hours: 32 Laboratory Hours: 16 Credits: 3 Prerequisite(s): ME257 Dynamics Course Description: This course is to explore the modeling of linear dynamic systems via transfer functions and state-space approach; analysis of systems in the time and frequency domains using transfer function and state-space models; study of the classical stability tests; design methods using root-locus plots, and the development of control techniques based on PID. Matlab and Simulink will be extensively used in the class, homework, and project. Course Outcomes: After completing this course, a student should be able to: Develop mathematical models of dynamic systems using transfer functions and state-space formulation. Analyze frequency response of dynamic systems, such as stabilities, bandwidth, and sensitivities. Analyze time response of dynamic systems, such as speed of response, overshoot, steady-state errors. Design feedback controller using root-locus, PID, to meet desired system performance specifications. Use Matlab/Simulink to analyze and simulate system properties. Course Content: Lectures and Lecture Hours: Introduction 2 - xxx - xxx - xxx Laplace transform 2 - xxx - xxx - xxx Transfer function approach to modeling dynamic systems 4 - xxx - xxx - xxx State space approach to modeling dynamic systems 2 - xxx - xxx - xxx Block diagram 6 - xxx - xxx - xxx Nonlinearity 2 - xxx - xxx - xxx Time-Domain analysis of dynamic systems 2 - xxx - xxx - xxx Frequency-Domain analysis of dynamic systems 2 - xxx - xxx - xxx Root locus 3 - xxx - xxx - xxx PID controller 3 - xxx - xxx - xxx Reviews and tests 2 Advanced topics, Project 2  (468BDLPRnpuufSfAfAfS"hH+hqH*5>*CJOJQJaJ%hH+hH+5>*CJOJQJaJo(hqH*5>*CJOJQJaJ%hH+hy5>*CJOJQJaJo("hH+hy5>*CJOJQJaJ'hqH*5>*CJOJQJaJnHo(tH$hqH*5>*CJOJQJaJnHtHhX[hH+CJaJo(hH+CJOJPJQJ^JaJ!hH+CJOJPJQJ^JaJo(!hKCJOJPJQJ^JaJo(46PRp$ a$gdqH*$ ^`a$gdqH*$ p^p`a$gdqH*$ p^p`a$gdH+$ p^p`a$gdqH*$a$gdX[$a$gdK Z \ z ~ ! 2 O d e ʸyl`ZTKDZ:hH+aJnH tH  hH+5aJhH+5>*aJ hH+CJ hH+aJhH+CJOJQJaJhH+>*CJOJQJaJhH+OJQJaJnHtHhH+CJOJQJaJnHtHhH+5>*CJOJQJaJ"hH+hH+5>*CJOJQJaJ"hH+hy5>*CJOJQJaJh d5>*CJOJQJaJ'h d5>*CJOJQJaJnHo(tH$h d5>*CJOJQJaJnHtH Z \ ~    ! 1 2 O e l & F G$gdH+gdH+ $ ^$ `gdH+ & F 0*$G$gdH+$ a$gdH+$ pa$gdH+$ p^`a$gdH+$ p^p`a$gdH+l s z   : P ` n  0p*$gdH+ 0*$gdH+^gdH+ & F G$gdH+gdH+e " \ b : < > f ÿ{{r`"h8wEhw5>*CJOJQJaJhwCJaJo(hw5aJo(hB hw5aJo(h8wEhw5CJOJQJaJh8wEhw5CJaJhw5CJaJnHo(tHhwhZ# hZ#o( *hH+hz&qo( hH+H*aJ hH+>*aJhH+5>*aJ hH+5aJhH+aJnH tH  hH+aJ " $ & ( * , . 0 2 4 6 8 : < > @ B D F H J L N P d,gdZ#d,gdH+ 0p*$gdH+P R T V X Z \ b < > f d$ p^`a$gdw$ p^p`a$gdwgdw $ $*$a$gdwgdw$a$gdwd,gdZ#f #Kbdetv  =˹vl`W`PFPhb'hwaJo( hwaJo(hw5aJo(h) hw5aJo(hw5>*aJo(hb'hw5>*aJhXNhwCJ hwaJhb'hwaJhb'hwCJOJQJaJhi hw>*CJOJQJaJ"hi hw5>*CJOJQJaJ#hXNhwOJQJaJnHo(tHhwCJOJQJaJnHtH$hb'hwCJOJQJaJnHtHdevxB^gdw & F gdwgdw $ ^$ `gdw & F 0*$gdw$ a$gdw$ pa$gdw=@S+,Y\op0060@0I0J0b0j0k0n0p0q0000000000000000000Ǿht2hwaJhAsThwaJhAsThw5>*aJh) hw5aJo(UhzhwaJ hwaJ hwaJo(hb'hwaJFBHNT &,^djp^gdw & F gdw0 0006090<0?0@0J0b0r00000000 0*$gdwgdw & F gdw^gdw- xxx - xxx - xxx Laboratories and Laboratory Hours: 1. 2. 3. 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