Course Name | Chinese | 控制系统动力学 | |||||||||||
English | Dynamics of Controlled Systems (full english) | ||||||||||||
Course Number | Type of Degree | Ph. D. | Master | √ | |||||||||
Total Credit Hours | 54 | In Class Credit Hours | 54 | Credit | 3 | Practice | Computer-using Hours | ||||||
Course Type | □Public Fundamental □Major Fundamental □Major Compulsory √Major Elective | ||||||||||||
School (Department) | School of Electrical Engineering | Term | Autumn | ||||||||||
Examination | A.□Paper（□Open-book □Closed-book） B.□Oral C.□Paper-oral Combination D.□ Others reporter | ||||||||||||
Chief Lecturer | Name | Professional Title | Associate Professor | ||||||||||
shfang@seu.edu.cn | Website | ||||||||||||
Teaching Language used in Course | Chinese/English | Teaching Material Website | |||||||||||
Applicable Range of Discipline | Electrical engineering | Name of First-Class Discipline | Electrical engineering | ||||||||||
Number of Experiment | Preliminary Courses | ||||||||||||
Teaching Books | Textbook Title | Author | Publisher | Year of Publication | Edition Number | ||||||||
Main Textbook | Dynamics of Controlled Systems | ||||||||||||
Main Reference Books | |||||||||||||
I.Course Introduction (including teaching goals and requirements) within 300 words:
As one of the elective courses, the aim of the course is to let graduate acknowledge advanced technology of electrical engineering, be familiar with the control system modeling of electrical machine and intelligent apparatus and master the dynamic analysis of fundamental theory and technology.
The basic requirement for the teaching is (1) to understand the character, task and research the object of the course, master the system of the course and structure and know the dynamics of controlled systems totally, (2) to master basic concept, basic principle and basic method of the discipline, including the latest development of the dynamics of controlled systems, (3) to connect with reality tightly on the basis of the applied characteristics of the course, to learn the design of dynamics of controlled systems and to improve the ability of the analyzing and solving the problem.
II.Teaching Syllabus (including the content of chapters and sections. A sheet can be attached):
Teaching Syllabus of Dynamics of Controlled Systems
Course code:
Course name: Dynamics of Controlled System
English name: Dynamics of Controlled System
Course type: special selective course
Total class hours: 54 teaching class hours: 54 experimental class hours: 0
Class hours: 54
Credit: 3
Application object: graduate of electrical engineering
Pre-course:
A)Character, object and task of the course
As one of the optimal courses, the aim of the Dynamics of Controlled Systems is to let graduate acknowledge advanced technology of electrical engineering and master theory and technology to analyze the dynamics of controlled systems.
B)Basic requirement of the syllabus
After finishing studying the course, the following requirements should be satisfied
1. To understand the character, task and research the object of the course correctly. To acknowledge the course architecture. To have a whole acknowledge for the control of electric machine and electric apparatus.
2. To master basic concept, basic principle and basic method of the discipline, including the latest development of control of electric machine and electric apparatus.
3. To connect with reality tightly on the basis of the applied characteristics of the course, to learn the design of the controlled systems and to improve the ability of the analyzing and solving the problem.
C)Teaching content and requirement
The teaching content includes twenty nine chapters as following
1.Control design objectives: disturbance rejection vs command response
2.Physical system state variable modeling: graphical & analytic models
3.Linear and non-linear physical state feedback modeling
4.Linear and non-linear cross coupling of manipulated inputs
5.Selection of appropriate states and decoupling of cross-coupled manipulated inputs
6.Disturbance input decoupling with finite accuracy/bandwidth sensors
7.Nonlinear decoupling state feedback & zero virtual references
8.Controlling systems with cascaded low energy states
9.Comparison of state feedback to classical strategies
10.Feedback gain selection based on disturbance response (stiffness)
11.Controls design via state feedback topologies in physical systems
12.State feedback topologies commonly occurring in physical systems
13.Controlling systems with nearly equal energy cascaded states
14.Control of resonant loads with relative state control
15.Synchronized motion control via electronic line shafting
16.Command state vector inputs viewed as error driven tracking design
17.State feedback partitioning of USFB term based on dynamic/static properties
18.State command feed forward or UCFF and UCFF sensitivity to model/parameters
19.Consistency issues and properties achieved with UCFFD vs. USFBD
20.Open and closed loop observers viewed as sensor replacements
21.Zero lag state and disturbance estimation using observers
22.Enhanced observers and integration states, estimation accuracy FRF
23.Gopinath vs. enhanced Luenberger observer design
24.Gopinath observer implicit references and parameter sensitivity
25.Linear and nonlinear observer topologies
26.Observer design issues and alternatives
27.Model reference adaptive control for UCFF
28.MARC design for command feedforward tracking accuracy
29.A unified control system design methodology
Requirements: to be able to design and analyze the control system of electric machine and electric apparatus. To propose methods to resolve the problem from design process.
D)Teaching method
Theory teaching
E)Time distribution
Syllabus style Syllabus hour
Syllabus content | lecture |
Control design objectives: disturbance rejection vs command response | 2 |
Physical system state variable modeling: graphical & analytic models | 2 |
Linear and non-linear physical state feedback modeling | 2 |
Linear and non-linear cross coupling of manipulated inputs | 2 |
Selection of appropriate states and decoupling of cross-coupled manipulated inputs | 2 |
Disturbance input decoupling with finite accuracy/bandwidth sensors | 2 |
Nonlinear decoupling state feedback & zero virtual references | 2 |
Controlling systems with cascaded low energy states | 2 |
Comparison of state feedback to classical strategies | 2 |
Feedback gain selection based on disturbance response (stiffness) | 2 |
Controls design via state feedback topologies in physical systems | 2 |
State feedback topologies commonly occurring in physical systems | 2 |
Controlling systems with nearly equal energy cascaded states | 2 |
Control of resonant loads with relative state control | 2 |
Synchronized motion control via electronic line shafting | 2 |
Command state vector inputs viewed as error driven tracking design | 2 |
State feedback partitioning of USFB term based on dynamic/static properties | 2 |
State command feed forward or UCFF and UCFF sensitivity to model/parameters | 2 |
Consistency issues and properties achieved with UCFFD vs. USFBD | 2 |
Open and closed loop observers viewed as sensor replacements | 2 |
Zero lag state and disturbance estimation using observers | 2 |
Enhanced observers and integration states, estimation accuracy FRF | 2 |
Gopinath vs. enhanced Luenberger observer design | 2 |
Gopinath observer implicit references and parameter sensitivity | 2 |
Linear and nonlinear observer topologies | 2 |
Observer design issues and alternatives | 1 |
Model reference adaptive control for UCFF | 1 |
MARC design for command feedforward tracking accuracy | 1 |
A unified control system design methodology | 1 |
total | 54 |
F)Test style
Research report
G)Recommended textbook and references
no
III.Teaching Schedule:
Week | Course Content | Teaching Method |
1 | Control design objectives: disturbance rejection vs command response Physical system state variable modeling: graphical & analytic models | lecture |
2 | Linear and non-linear physical state feedback modeling Linear and non-linear cross coupling of manipulated inputs | lecture |
3 | Selection of appropriate states and decoupling of cross-coupled manipulated inputs Disturbance input decoupling with finite accuracy/bandwidth sensors | lecture |
4 | Nonlinear decoupling state feedback & zero virtual references Controlling systems with cascaded low energy states | lecture |
5 | Comparison of state feedback to classical strategies Feedback gain selection based on disturbance response (stiffness) | lecture |
6 | Controls design via state feedback topologies in physical systems State feedback topologies commonly occurring in physical systems | lecture |
7 | Controlling systems with nearly equal energy cascaded states Control of resonant loads with relative state control | lecture |
8 | Synchronized motion control via electronic line shafting Command state vector inputs viewed as error driven tracking design | lecture |
9 | State feedback partitioning of USFB term based on dynamic/static properties State command feed forward or UCFF and UCFF sensitivity to model/parameters | lecture |
10 | Consistency issues and properties achieved with UCFFD vs. USFBD Open and closed loop observers viewed as sensor replacements | lecture |
11 | Zero lag state and disturbance estimation using observers Enhanced observers and integration states, estimation accuracy FRF | lecture |
12 | Gopinath vs. enhanced Luenberger observer design Gopinath observer implicit references and parameter sensitivity | lecture |
13 | Linear and nonlinear observer topologies Observer design issues and alternatives | lecture |
14 | Model reference adaptive control for UCFF MARC design for command feedforward tracking accuracy | lecture |
15 | A unified control system design methodology | lecture |
16 | ||
17 | ||
18 |
