| AICTE
Sponsored Staff Development Programme
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ON |
| Advanced
Control System Techniques and their Applications |
| 25th
June-6th July 2007 |
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| Beginning
with a review of classical control, the course will progress
towards the advanced control topics such as adaptive control
and intelligent control. It will introduce advanced control
concepts with emphasis on current industrial applications.
Focus of the course will be on addressing the benefits of
advanced control techniques. This course is expected to
provide a good understanding of the fundamentals of control
system technology which will enable the participants to
develop controllers for many real-world problems. The participant
will have the opportunity of gaining exposure with control
system toolboxes. In the course, MATLAB Control System Toolbox
and SIMULINK will be used to demonstrate the topics. Lectures
will be delivered by faculty members of the NIT, Rourkela
and experts from IIT Kharagpur/Jadavpur Univ.. |
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| DEPT. OF ELECTRICAL ENGINEERING |
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| Department of Electrical Engineering,
NIT Rourkela was established in 1961. Since its inception,
the Department is under dynamic progress and is reputed for
imparting quality education both at B.Tech, M.Tech levels.
The Department currently runs two M.Tech programme with the
specializations in (i) Power Control and Drives, (ii) Electronic
Systems and Communication. It also plans to add two more new
specializations to the existing Masters programme namely,
Robotics & Mechatronics and System & Control Engg.
Besides the undergraduate and postgraduate teaching, a good
number of research scholars are working on different areas
of electrical engineering towards the award of PhD degrees.
The Department has well equipped modern laboratories such
as Signal Processing & Communication, Image Processing
& Computer Vision, Power Electronics & Drives, Control
& Robotics, Embedded Systems & Real-Time and Soft
Computing Labs for pursuing research keeping in view of the
technological advancements. |
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| CO-ORDINATOR |
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| The course will be handled
by Dr. Bidyadhar Subudhi, Assistant Professor, Dept. of Electrical
Engineering. Dr.Subudhi has been awarded a PhD degree in Control
System Engineering from the University of Sheffield, U.K.
in 2002 and M.Tech in Control and Instrumentation from IIT
Delhi. He graduated in Electrical Engineering from REC Rourkela.
Most recently Dr. Subudhi worked as a Post Doctoral Research
Fellow in NUS, Singapore. His areas of research and teaching
involvements include Adaptive Control, System Identification,
Intelligent Control, Robotics and Networked Control System. |
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| COURSE COVERAGE |
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REVIEW CLASSICAL CONTROLS |
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Introduction
to control theory and control systems |
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Root
locus methods for control system analysis |
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Performance specifications and time response
analysis of control systems
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Frequency
response methods for control system analysis |
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Characteristics
of closed-loop systems
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Design
of feedback control systems using frequency
response methods |
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PID
control and system stability |
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Brief
introduction to digital control systems and
summary to the classic control theory |
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STATE SPACE CONTROL DESIGN |
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State Variables and the State Space Description of
Dynamic systems
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Relationship
between State-Variable and Transfer-Function Models
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Eigenvalues and Eigenvectors |
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Design of
Linear Feedback Control Systems |
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Analysis of Continuous- and Discrete-Time Linear State
Equations
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State feedback
: Pole placement |
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Stability
Theory |
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Observers
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Controllability
and Observability for Linear Systems |
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Introduction
to Optimal Control |
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SYSTEM IDENTIFICATION & PARAMETER ESTIMATION |
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| Signals and Models, Parametric
and Nonparametric System Identification, Estimator properties,
least squares techniques, recursive lest squares algorithms,
Maximum Likelihood, MMSE, minimum variance method. |
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STATE ESTIMATION |
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| Optimal State Estimator, Kalman
Filtering(Continuous and Discrete) |
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ADAPTIVE CONTROL |
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Review of Lyapunov Stability Theory |
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Certainty
Equivalence Principle |
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Adaptive control architectures |
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MRAC –
STC- minimum variance controller |
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Basic concepts |
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Predictive
control |
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Design
approach: Direct vs. indirect
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Observers
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INTELLIGENT CONTROL |
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| Fuzzy Logic Control and Modelling,
Neural Networks Applications in Control, Genetic Algorithms
in System Identification and Control, Optimization. |
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MATLAB, SIMULINK DEMONSTRATIONS |
| General purpose tools for System
identification & modeling, Control design & analysis. |
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| ELIGIBILITY AND APPLICATION
PROCEDURE |
Young
teachers working in the department of Electrical, and Electronics
Communication/Instrumentation are eligible to participate.
The participants will be provided boarding, lodging along
with TA as per the AICTE rules. |
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| This course is sponsored by
AICTE. There is no course fee for the participants. However
as a matter of confirmation for participation in the course,
a caution money of Rs.300/- is to be sent along with the registration
form. The caution money is to be sent in the form of a demand
draft drawn in favour of “Coordinator ACSTA, NIT, Rourkela”
payable at SBI, NIT Branch, Rourkela (code- 2109) on or before
15th June 2007. |
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| Certificate will be awarded
to the participants after successful completion of the course. |
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| CONTACT DETAILS |
|
Dr. Bidyadhar
Subudhi |
Assistant Professor
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Department of
Electrical Engineering |
National Institute
of Technology |
Rourkela –
769008, Orissa, India |
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| Phone: 0661 –
2462416 (O), 0661 - 2463416 (R) |
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