ENEE600401 ENEE610401
DIGITAL CONTROL SYSTEM 3 SKS
Learning Objectives: To introduce basic concept of digital control system and to analysis, simulate and design for digital control system.
Syllabus: Data Acquisition, A/D conversion, sample/hold, Z Transform, Solution of Difference Equations, Signal reconstruction, Discrete time transfer functions, Realization of discrete time control systems, Mapping between s plane and z plane, Testing for absolute stability in the z plane, Transient and steady state response, root locus in the z plane, Root locus based design, Frequency response methods, State space representation, Discrete time state equations, Canonical forms, Solution of the State Equations, Controllability, Observability, Transformations to observable and controllable canonical forms, Controller design by pole placement, Design of state observers.
Prerequisites: Control Systems Text Books:
Ogata, K. “Discrete Time Control Systems”, Pren- tice Hall, 2002
ENEE600402 ENEE610402
PROCESS CONTROL SYSTEM 3 SKS
Learning Objectives: To give students knowing on the application of control system in chemi- cal industries including their instrumentation &
equipments used, tuning system and its problem including how to solve its problems in multivari- able systems.
Syllabus: Introduction to chemical industrial process. Process characteristic and its prob- lems. Method of process measurement, sensor
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and transmitter, signal conditioning and its installation. Final control element and actua- tor. PID Controller, controllers parameter tuning method, disturbance problem in process, For- ward Control System, Cascade control system.
Multivariable system concept. State equation description and Transfer matrix. Method for decoupling of multivariable system.
Prerequisites: Control Systems Text Books:
Curtis D. Johnson, “Process Control and 1.
Instrumentations”, 5th Edition, Prentice Hall Inc. 1997
Carlos A.Smith and Armando B.Corripio, 2.
“Principles and Practice of Automatic Process Control”, John Wiley & Sons, Inc. 1985 ENEE600403
ROBOTICS 3 SKS
Learning Objectives: Introducing the robotics and automation concept and the application of control system basic principles in an automation process and robotics using program simulation OpenGL based on C-programming language.
Syllabus: Introduction to automation and robot- ics, control system in robotics, robotics design technique, motor/actuator, sensor, robotics control system principles, position and speed control, active force control, robot low-level programming and OpenGL simulation. High-level robotics control, Kinematics, dynamic, Jacobian, 2-axle planar robot.
Prerequisites: Control System, Algorithm &
Programming.
Text Books:
Endra Pitowarno, “Robotika: Desain, Kon- 1.
trol, dan Kecerdasan Buatan”, Penerbit Andi, 2006
John Craig, “Introduction to Robotics: Me- 2.
chanics and Control”, 2nd Edition, 1989 ENEE600404
ELECTRIC DRIVE CONTROL SYSTEM 3 SKS
Learning Objectives: Understand how to control an electric drive system, power transfer circuit (3 phase PWM Inverter), servo motor DC brushless, position and speed control, speed sensorless control, creating a software in electric drive system.
Syllabus: Electric drive system, power transfer circuit (3 phase PWM inverter), servo motor DC brushless, position and speed control, speed sensorless control, software in electric drive system.
Prerequisites:Control Systems Text Books:
Peter Vas, “Electrical Machines and Drives:
1.
A Space-Vector Theory Approach”, Oxford
University Press UK, 1993
Peter Vas, “Sensorless Vector and Direct 2.
Torque Control”, Oxford University Press, 1998
ENEE600405 ENEE610405
MODELING AND SYSTEM IDENTIFICATION 3 SKS
Learning Objectives: Students are able to derive dynamic models based on physical knowledge of the real system; stressed on the internal system energy balance and experiment data.
Syllabus: Physical modeling, dynamic system description, non-parametric model identifica- tion, identification test design and data pre-pro- cessing, prediction error identification method:
least-square method, extended least-squares, generalized least-squares method, instrumental variable method; real-time identification, system simulation, model validation, non-linear model identification: Hammerstein and Wiener model, application in channel equalization, interference cancellation, object and voice recognition, self- tuned system.
Prerequisites: Control Systems Text Books:
R. Johansson, “System Modeling and Identi- 1.
fication”, Prentice Hall, 1993
Yucai Zhu, “Multivariable System Identifica- 2.
tion for Process Control”, Pergamon Press, 2001
ENEE600406 MECHATRONICS 3 SKS
Learning Objectives: Introducing the mecha- tronic concept and its application in advanced motion control on automation and robotics both using simulation and the real robots.
Syllabus: Introduction to mechatronics, mecha- tronics design, interface system, instrumentation and control system, control system in embedded system, electromechanical system modeling, sen- sor, actuator and their characteristics, design and development an application software. Compliant control, Telerobotics, Bilateral control.
Prerequisites: Control System, Algorithm &
Programming.
Text Books:
Robert Bishop, “Mechatronics and Introduction”, 2006
ENEE600407
KNOWLEDGE BASED SYSTEM 3 SKS
Learning Objectives: This course will discuss how to solve a problem using non-conventional method based on an exact mathematical values.
The method discussed covers algorithms which
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tolerant to “imprecision”, “uncertainty”, and
“limited knowledge” about the system. The goal is to achieve a system which works effectively using the expert knowledge trained in the system.
Syllabus: Introduction to artificial intelligence system, concept and definition of fuzzy logic, fuzzy sets, fuzzy relations, fuzzy number opera- tion, linguistic description, fuzzy inference and fuzzy algorithm. Fuzzy control system, basic concept of Artificial Neural Network (ANN), ANN training, back-propagation algorithm, other ANN algorithms, application ANN in fuzzy system, genetic algorithm, applications.
Prerequisites: Engineering Mathematics, Algo- rithm and Programming
Text Books:
Lefteri H.,Tsoukalas and Robert E. Uhrig, 1.
“Fuzzy and Neural Approaches in Engineer- ing”, John Wiley & Sons, Inc., Singapore, 1997
John Yen and Reza Langari, “Fuzzy Logic, 2.
Intelligence, Control and Information”, Prentice Hall, Inc. New Jersey, 1999 ENEE600408
ADAPTIVE AND PREDICTIVE CONTROL SYSTEM 3 SKS
Learning Objectives: Students are able to under- stand basic concept of adaptive control system, design adaptive controller based on the combi- nation of parameter estimation and controller synthesis, and understand the characteristics of non-linear system and analysis.
Syllabus: Discrete system model, recursive parameter estimation, pole-position method, minimum variance method, dynamic matrix con- trol, algorithmic control model, generalization of prediction control, application of self-tuned con- troller, non-linear system characteristics, phase controller analysis, Lyapunov stability analysis.
Prerequisites: Control Systems Text Books:
P.E. Wellstead and M.B. Zarrop, “Self-tuning 1.
Systems: Control and Signal Processing”, John Wiley and Sons, 1991
J.J.E. Slotine and W. Li, “Applied Non-linear 2.
Control”, Prentice Hall, 1991
A. Subiantoro, “Diktat Sistem Kendali Adap- 3.
tif”, Departemen Teknik Elektro FTUI, 2003 ENEE600409
SPECIAL COURSE (CONTROL ENGINEERING) 3 SKS
Learning Objectives: to broaden the knowledge of student and introduce the development of control technology nowadays and its application in society and industry.
Syllabus: the topics are adjusted with up to date issue discussed in the world, and could be deliv- ered by invited lecturer.
Prerequisites: None
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Text Books: None