|
Track: |
Control in Green Energy
(Room: Exeter) |
Practical Methods 1
(Room: Clarendon) |
Practical Methods 2
(Room: Arlington) |
|
Description: |
The greening of energy generation and utilization requires a lot
of automated intelligence and much of that is tightly coupled to
feedback control and system theory. This track presents three
tutorials by leading researchers in the areas of smart cars,
wind energy, and the smart grid, to give a flavor of the
significant impact of control on these areas. This track will
give insights into how control and system theory impacts one of
the most significant societal problems of our age. |
Model-Based Design of control system relies on models for
representing plant dynamics, tuning controllers, generating code
for production implementation and real-time testing. These steps
will be covered in tutorials presented by engineers from The
MathWorks. Special attention will be given to various controller
tuning and design methods: from simple single-input
single-output PID controller tuning to tuning of fixed-structure
multivariable controllers and model predictive control design. |
Theory is wonderful, but eventually you have to plug theory into
the physical world to do control on real systems. After all,
model based control requires a good model, and a computer can’t
touch the real world without some circuits and wiring. This
track will focus on some new methods and some new insight on
familiar methods in how to make these connections. It will
look at these methods from a unified perspective so that PID
tuning moves from knob turning to high performance design. |
|
Session 1: 1:30—3:30 |
·
Towards a Smart Society: Controlled Cars, Robots and Humans
·
Wind Energy and Controls Research |
·
Model Based Design Tutorial
·
Model Predictive Control Tutorial |
·
An
Alternative for PID Control: Predictive Functional Control - a
Tutorial
·
Measurements for the Design of Control Systems |
|
Session 2:
4:00-5:00 |
·
Controlling the U.S. Power Grid Smarter |
·
Practical Techniques for Control Design – from Simple PID
Controllers to Complex Multi-Loop Systems |
·
Understanding and Tuning PID Controllers |
