Tutorial-7: Applications of Nonlinear Control Techniques in
Smart-Grid
Duration: 2 Hours
The world is entirely nonlinear, having not a single
phenomenon which is linear. Linearizing any physical
system is equivalent to going away from the actual
system.
Linear techniques have built in limitations: the
major being the domain of operation which is very
close to the equilibrium point, thus can’t ensure
global behavior, linearization results in losing
info of the actual system, can’t give info regarding
asymptotic and exponential stability, may misguide
about stability (linearized system may be stable but
the actual one is unstable), can’t give precise info
regarding region of attraction, including many
others. For instance, the actual nonlinear system
may have multiple isolated equilibrium points, may
have limit cycles, and may show chaos and
bifurcation which can’t be shown using linear
techniques.
Nonlinear techniques do not have such problems,
their domain of operation can be the whole space,
exact info of region of attraction is obtained,
global behavior can be studied, identification of
limit cycles (if exists) is possible, implementation
of nonlinear controller is easy as they are deeply
rooted into the physics of the actual system
including many others plus points.
Key Objectives
By the end of this tutorial the attendees will know,
Why studying nonlinear control techniques is
important in the presence of very mature linear
control techniques for studying the stability of the
physical systems: what is the main edge of nonlinear
techniques over the linear ones, the basic idea of
Lyapunov theory which is the main tool behind almost
all the nonlinear control techniques.
Tutorial Outline
1. Limitations of linear control techniques
2. An introduction to nonlinear systems and their characteristics
3. Why nonlinear control: An introduction to nonlinear techniques
4. Lyapunov theory : basic idea and examples
5. Nonlinear control design, motivated by some examples
6. Examples of applications of nonlinear control techniques in
smart-grids
Targeted Audience
The target audience includes, academician, companies, engineers,
undergraduate and post graduate students having basic ideal of
control (at least linear control systems/techniques).
Tutorial Fees
For Students:
IEEE Student Members: Rs. 500
Non-IEEE Student Members: Rs. 800
For Professionals:
IEEE Members: Rs. 2000
Non-IEEE Members: Rs. 3000
Instructor Biography
Dr. Iftikhar Ahmad Rana is currently an Assistant Professor at
SEECS-NUST, joined NUST in 2007. Earlier he has done PhD in Robotics
and Automation from University de Versailles, France. He has also
done Masters in fluid mechanical engineering and power from
University Pierre Marie Curie (University Paris-VI, UPMC), France.
He has studied the course entitled “Introduction to Nonlinear
Systems” from Dr. Hassan K Khalil, Professor at Michigan State
University, who is thought to be the guru in the field of nonlinear
control systems and theory.