dynamics and control · “classical” control structures human analog device ip device computing...
TRANSCRIPT
Module V(I)
Control Benefits
DYNAMICS and CONTROL
Presented by
Pedro AlbertosProfessor of Systems Engineering and Control - UPV
A look at the future
Module V(III)
Control Benefits
2
Examples of systems and signals
Models of systems and signals
Controlled systems: properties
Control systems design
Control benefits
Necessary Control
Performance Improvements
A look at the future
Topics to study
Modules:
DYNAMICS & CONTROL
Examples of systems and signals
Models of systems and signals
Controlled systems: properties
Control systems design
A look at the future
3
Dealing with unstable plants
Accessing to remote processes
Use of Control:
DYNAMICS & CONTROL
Making easy the operators’ work
Getting high performance
Coping with unexpected disturbances
New Applications
4
From Analog Controllers to Distributed and Networked Control
Integrated Control Applications
Bio-inspired applications
New areas of application
New challenges
New Applications:
DYNAMICS & CONTROL
“Classical” control structures
sensors
measuredvariables
PROCESS
Energy/material flow
CONTROLLER
monitoredvariables
Setpoints
Controlvariables information flow
Humanoperator
actua-tors
DYNAMICS & CONTROL
5
“Classical” control structuresHuman
Analog Device
IP Device
sensors
measuredvariables
PROCESS
Energy/material flow
CONTROLLER
monitoredvariables
Setpoints
Controlvariables information flow
Humanoperator
actua-tors
DYNAMICS & CONTROL
5
“Classical” control structuresHuman
Analog Device
IP Device
Computing devices
Physical systems
sensors
measuredvariables
PROCESS
Energy/material flow
CONTROLLER
monitoredvariables
Setpoints
Controlvariables information flow
Humanoperator
actua-tors
DYNAMICS & CONTROL
5
“Classical” control structuresHuman
Analog Device
IP Device
Computing devices
Physical systems
Point-to-point
sensors
measuredvariables
PROCESS
Energy/material flow
CONTROLLER
monitoredvariables
Setpoints
Controlvariables information flow
Humanoperator
actua-tors
DYNAMICS & CONTROL
5
New control scenarios• Model-based control
• Closed-loop control
• Single-processor
• Single control goal
• Data belong to control
PROCESS DASAS
Controller
6
DYNAMICS & CONTROL
New control scenarios• Model-based control
• Closed-loop control
• Single-processor
• Single control goal
• Data belong to control
• Collaborative control
• Embedded control
• Networked-based control
• Event-based control
• Data shared between users
PROCESS DASAS
Controller
6
DYNAMICS & CONTROL
New control scenarios• Model-based control
• Closed-loop control
• Single-processor
• Single control goal
• Data belong to control
• Collaborative control
• Embedded control
• Networked-based control
• Event-based control
• Data shared between users
PROCESS DASAS
6
DYNAMICS & CONTROL
New control scenarios• Model-based control
• Closed-loop control
• Single-processor
• Single control goal
• Data belong to control
• Collaborative control
• Embedded control
• Networked-based control
• Event-based control
• Data shared between users
PROCESS DASAS
Pervasive networks of sensors, controllers and actuators 6
DYNAMICS & CONTROL
New control scenarios• Model-based control
• Closed-loop control
• Single-processor
• Single control goal
• Data belong to control
• Collaborative control
• Embedded control
• Networked-based control
• Event-based control
• Data shared between users
PROCESS DASAS
Decision
System
Pervasive networks of sensors, controllers and actuators 6
DYNAMICS & CONTROL
Control Challenges
– New control scenarios:
• Networked systems
7
DYNAMICS & CONTROL
Control Challenges
– New control scenarios:
• Networked systems
8
DYNAMICS & CONTROL
Control Challenges- New control scenarios:
Embedded Control systems
9
DYNAMICS & CONTROL
the overall system will operate across many different modes
the communication network must handle a variety of protocols and data
some part of the system will fail, functionality must be guaranteed
there must a graceful degradation of performance
available power and resource scheduling
share resources among many tasks
adapt and learn
maintain security and safety
systems should be allowed to grow, slowly expand, even contract as to meet
demand.
Control Challenges
10
DYNAMICS & CONTROL
- New control scenarios:
Embedded Control systems
Cyber-Physical Systems (CPS)
• Typically designed as a network of embedded sensors and actuators
equipped with computing and communicating capabilities with physical
input and output instead of as standalone devices interacting with physical
entities.
• Tight integration of computation, communication, and controls.
Although each individual device is fairly inept at monitoring or regulating
the physical substratum, the coordinated action of the individual network
nodes has the potential for unprecedented capabilities.
• As complex real time systems cannot be exhaustively tested. It is
more important to ensure the robustness and stability, including protection
against external intrusions.
11
DYNAMICS & CONTROL
CPS: Human device interaction
1219
DYNAMICS & CONTROL
CPS: Human device interaction
1220
DYNAMICS & CONTROL
CPS: Human device interaction
1221
DYNAMICS & CONTROL
Control Challenges
– Bio-inspired systems:
13
DYNAMICS & CONTROL
Flock of birds Surveillance team
Control Challenges
– New Applications:
• Bio-systems
• Thousands of genes in a cellule
14
DYNAMICS & CONTROL
• Gene: carry instructions to generate a protein
• Artificial genes generate proteins with stabilizer
Control Challenges
– New Applications:
• Bio-systems
• Space
15
DYNAMICS & CONTROL
Control Challenges
– Control risks:
• Failures
• Unexpected disturbances
• Redundance
16
DYNAMICS & CONTROL
Control Challenges
– Control risks:
• Failures
• Unexpected disturbances
• Redundance
16
DYNAMICS & CONTROL
New Challenges
• Reasoning about space and time
• Resource management
• Deal with uncertainty
• Dynamic group communication
• Security
• Fault tolerance
• Event-driven control
• Data driven sensors…
A LOOK AT THE FUTURE
17
DYNAMICS & CONTROL
18
DYNAMICS & CONTROL
Control Benefits (III)
What have we seen today?
Networking, integration, dissemination
Control structure evolves
Control allows new applications
Open field for research and development
Control risks
CCC:
Computers, communications and Control
19
DYNAMICS & CONTROL
Modules:What is next? Examples of systems and signals
Models of systems and signals
Controlled systems: properties
Control systems design
Control benefits
Necessary Control
Improvements
A look at the future
Topics to study
20
Some of the images of this presentation are from the following sources:
• Slide 12-2. Google's augmented reality head mounted display as glass form. By Tedeytan. http://en.wikipedia.org/wiki/File:Google_Glass_Explorer_Edition.jpeg
• Slide 13-1. http://upload.wikimedia.org/wikipedia/commons/thumb/5/5f/Tundra_bean_goose.jpg/800px-Tundra_bean_goose.jpg
• Slide 14. http://upload.wikimedia.org/wikipedia/commons/thumb/6/60/Myoglobin.png/592px-Myoglobin.png By AzaToth, [Public domain], undefined.
• Slide 15-1. By International Space Station Image Credit: NASA. http://www.flickr.com/photos/nasacommons/8980505397/
• Slide 15-2, Kennedy Space Centre, Florida . http://zh.wikipedia.org/wiki/File:STS-60_Launch.jpg
ATTRIBUTION IMAGES
DYNAMICS and CONTROL
Presented by
Pedro AlbertosProfessor of Systems Engineering and Control - UPV
A look at the future
Module V(III)
Control BenefitsThank you!