University of Macau Department of Electromechanical Engineering EMEB312-Control Engineering Syllabus 1 st Semester 2015/2016 Part A Course Outline

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1 University of Macau Department of Electromechanical Engineering EMEB312-Control Engineering Syllabus 1 st Semester 2015/2016 Part A Course Outline Compulsory course in Electromechanical Engineering Course description: The aim of this course is to introduce knowledge of control system, Laplace transform, dynamic models and dynamic response, models of industrial control devices and systems, feedback control, stability of linear system, root locus plots, Bode plots, and polar plots. Prerequisite: Electrical Engineering Textbook: Naresh K. Sinha, Control Systems, 4 th Edition, New Age International, References: Richard C. Dorf, and Robert H. Bishop, Modern Control Systems, 12 nd Edition, Prentice Hall, M Gopal, Control Systems: Principles and Design, 4 th Edition, Tata McGraw-Hill Education, Katsuhiko Ogata, Modern Control Engineering, 5 th Edition, Prentice Hall, Course objectives: 1. Learn mathematical modeling of physical systems. [a] 2. Learn the design and applications of some real systems, which use automatic control. [b, l] 3. Understand the control system performance with various methods for control system design. [c, e] Topics covered: 1. Introduction - Review of Syllabus; Introduction to the History of Automatic Control; Examples of Control Systems 2. Mathematical Models of Physical Systems - Differential Equations and Transfer Functions; Definition of Laplace Transform; Laplace Transform Table; Electrical Analogs; Modeling a DC Servomotor; Simplification of Block Diagrams; Mason s Rule 3. State-Space Methods - Concept of State; Computation of the Transfer Function from State Equations; State Equations from Transfer Function; Linear Transformations and Canonical Forms 4. Characteristics of Closed-Loop Systems - Sensitivity to Parameter Variations; Transient Response; Effect of Disturbance Signals; Steady-State Error; Disadvantages of Feedback 5. Performance of Control Systems - Standard Test Input; Response of a First-Order System; Response of a Second-Order System; Properties of Transient Response; Steady-State Performance; Steady-State Error In Closed-Loop Transfer Function; Integral Performance Criteria 6. Stability of Linear Systems - Routh-Hurwitz Criterion; Special Cases; Relative Stability; Application to Design; Stability from State-Space Representation 7. Root Locus Method - Root Loci for a Second-Order System; Basic Principles; Properties of the Root Locus; Applications to Design; Sensitivity and the Root Locus 8. Frequency Response - Transfer Function and Frequency Response; Bode Plots; Logarithmic Scales; Magnitude Plots; Phase Plots; Polar Plots; Log-Magnitude and Phase Diagrams; Systems with Transport Lag Class schedule and credits: Timetabled work in hours per week Lecture Tutorial Practice No of teaching weeks Total hours Total credits No / Duration of exam papers / 3hrs

2 Topic Outline: Week No. No. of hours Topics 1 4 Introduction Review of Syllabus; Introduction to the History of Automatic Control; Examples of Control Systems 2, 3 8 Mathematical Models of Physical Systems Differential Equations and Transfer Functions; Definition of Laplace Transform; Laplace Transform Table; Electrical Analogs; Modeling a DC Servomotor; Simplification of Block Diagrams; Mason s Rule 4, 5 8 State-Space Methods Concept of State; Computation of the Transfer Function from State Equations; State Equations from Transfer Function; Linear Transformations and Canonical Forms 6 4 Characteristics of Closed-Loop Systems Sensitivity to Parameter Variations; Transient Response; Effect of Disturbance Signals; Steady-State Error; Disadvantages of Feedback 7, 8 8 Performance of Control Systems Standard Test Input; Response of a First-Order System; Response of a Second-Order System; Properties of Transient Response; Steady-State Performance; Steady-State Error in Closed-Loop Transfer Function; Integral Performance Criteria 9 4 Stability of Linear Systems Routh-Hurwitz Criterion; Special Cases; Relative Stability; Application to Design; Stability from State-Space Representation 10, 11, Root Locus Method Root Loci for a Second-Order System; Basic Principles; Properties of the Root Locus; Applications to Design; Sensitivity and the Root Locus Laboratory Experiment MATLAB programming 13, 14 8 Frequency Response Transfer Function and Frequency Response; Bode Plots; Logarithmic Scales; Magnitude Plots; Phase Plots; Polar Plots; Log-Magnitude and Phase Diagrams; Systems with Transport Lag Laboratory Experiment MATLAB programming Contribution of course to meet the professional component: This course prepares students to work professionally in the area of control & automation. Relationship to EME Programme objectives and outcomes: This course primarily contributes to Electromechanical Engineering Programme outcomes that develop student abilities to: (a) an ability to apply knowledge of mathematics, science, and engineering. (c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability. (e) an ability to identify, formulate, and solve. The course secondarily contributes to Electromechanical Engineering Programme outcomes that develop student abilities to: (b) an ability to design and conduct experiments, as well as to analyze and interpret data; (l) an ability to use the computer/it tools the discipline along with an understanding of their processes and limitations. Course content: Maths Basic Science Engineering Science Engineering Design and Synthesis Complementary Studies Computer Studies Total 100%

3 Persons who prepared this description: Prof. Qingsong Xu

4 Part B General Course Information and Policies 1 st Semester 2015/2016 Instructor: Prof. Qingsong Xu Office: E Office Hour: 3:00pm-4:30pm Monday, 3:00pm- Phone: (853) :30pm Thursday, or by appointment QSXu@umac.mo Time/Venue: Every Monday, 9:00 a.m. 10:45 a.m., Room E Every Wednesday, 11:00 a.m. 12:45 p.m., Room E3-4043, E Assessment: Final assessment will be determined on the basis of: Homework: 20% Matlab Project: 15% Mid-term: 25% Final Exam (Comprehensive): 40% Grading System: The credit is earned by the achievement of a grade from A to D ; F carries zero credit. Grades are awarded according to the following system: Letter Grades Grade Points Percentage A 4.0 (Excellent) A- 3.7 (Very good) B B 3.0 (Good) B C C 2.0 (Average) C D D 1.0 (Pass) F 0 (Fail) Below 50 Homework Policy: The completion and correction of homework is a powerful learning experience; therefore: There will be approximately 5 homework assignments. Homework is due one week after assignment unless otherwise noted, no late homework is accepted. Possible revision of homework grades may be discussed with the grader within one week from the return of the marked homework. The homework grade will be based on the average of the assignment grades. Mid-terms Exams: One mid-term exam will be held during the semester. Note: Attendance is strongly recommended. Check UMMoodle (webcourse.umac.mo) for announcement, homework and lectures. Report any mistake on your grades within one week after posting. No make-up exam is give except for CLEAR medical proof. No exam is given if you are 15 minutes late in the midterm exams and 30 minutes late in the final exam. Even if you are late in the exam, you must turn in at the due time. Cheating is absolutely prohibited by the university. Student disabilities support service:

5 The University of Macau is committed to providing an equal opportunity in education to persons with disabilities. If you are a student with a physical, visual, hearing, speech, learning or psychological impairment(s) which substantially limit your learning and/or activities of daily living, you are encouraged to communicate with me about your impairment(s) and the accommodations you need in your studies. You are also encouraged to contact the Student Disability Support Service of the Student Counselling and Development Section (SCD) in Student Affairs Office, which provides appropriate resources and accommodations to allow each student with a disability to have an equal opportunity in education, university life activities and services at the University of Macau. To learn more about the service, please contact SCD at scd.disability@umac.mo, or or visit the following website:

6 Appendix - Rubric for Programme Outcomes (a) An ability to apply knowledge of mathematics, science, and engineering appropriate to the degree discipline 1. An ability to apply knowledge of mathematics to the solution of complex. 2. An ability to apply knowledge of science to the solution of complex. 3. An ability to apply knowledge of engineering fundamentals to the solution of complex. Students understand mathematical principles (e.g. calculus, differential equations, linear algebra, probability and statistics) engineering and their limitations in the respective application. Use mathematical principles to formulate for an engineering problem. Students understand the theories and principles of basic sciences (e.g. physics, chemistry, etc.). Use these principles to formulate models of physical processes and systems engineering. Students combine mathematical and/or scientific principles to formulate for a problem engineering. Understand limitations of these formulations in the respective application. Students understand the theoretical background and choose mathematical principles engineering, but have trouble in model development. Students understand the theoretical background and choose scientific principles engineering, but have trouble in model development. Students understand engineering concepts and principles, but have trouble in the development of formulation. Students do not understand the background completely. Use wrong models, or do not know how to model. Students do not understand the background completely. Use wrong scientific principles, or do not know how to model. Students do not understand engineering concepts and principles completely. Use wrong models, or do not know how to model. (b) An ability to design and conduct experiments, as well as to analyse and interpret data 2. An ability to analyze and interpret problems using research-based knowledge and research methods. Students have idea and able to analyze and interpret problems clearly using suitable equations and software. Students have idea and able to analyze and interpret problems partially using suitable equations and software. Students are unable to analyze or interpret problems using suitable equations and software.

7 (c) An ability to design a system, component or process to meet desired needs within realistic constraints, such as economic, environmental, social, political, ethical, health and safety, manufacturability and sustainability 1. An ability to design solutions for complex that meet specified needs and constraints with appropriate consideration for public health and safety, cultural, societal, and environmental Students have clear idea and able to design suitable strategy or solutions for problems that meet specified needs and constraints with appropriate consideration for public health and safety, cultural, societal, and environmental Students have idea but only able to partially design suitable strategy or solutions for problems that meet specified needs and constraints with appropriate consideration for public health and safety, cultural, societal, and environmental Students have no idea and not able to design suitable strategy or solutions for problems that meet specified needs and constraints with appropriate consideration for public health and safety, cultural, societal, and environmental (e) An ability to identify, formulate and solve 2. An ability to solve and analyze complex reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences Students can apply theories to formulate strategies for solving complex reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences. Students apply theories to formulate strategies to solve of moderate difficulty reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences. Students have no coherent strategies for problem solving and use no resources to reach substantiated conclusions. (l) An ability to use the computer/it tools the discipline along with an understanding of their processes and limitations 2. An ability to apply appropriate computer/it tools complex engineering activities. Students apply the computer/it tools to correctly analyze and/or create engineering designs. Students unskillfully apply the computer/it tools to correctly analyze and/or create engineering designs. Students are unable to apply the computer/it tools to correctly analyze and/or create engineering designs.

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