DYNAMICS and CONTROL

Transcription

1 DYNAMICS and CONTROL Module V(III) V(I) Control Benefits A look at the future Presented by Pedro Albertos Professor of Systems Engineering and Control - UPV

2 Modules: 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 2

3 Use of Control: Dealing with unstable plants Accessing to remote processes Making easy the operators work Getting high performance Coping with unexpected disturbances New Applications 3

4 New Applications: From Analog Controllers to Distributed and Networked Control Integrated Control Applications Bio-inspired applications New areas of application New challenges 4

5 Classical control structures Control variables monitored variables actuators Human operator CONTROLLER Energy/material flow PROCESS Set points information flow measured variables sensors 5

6 Classical control structures monitored variables Human operator Set points Human Analog Device IP Device Control variables actuators CONTROLLER information flow Energy/material flow PROCESS measured variables sensors 5

7 Classical control structures Computing devices Physical systems monitored variables Human operator Set points Human Analog Device IP Device Control variables actuators CONTROLLER information flow Energy/material flow PROCESS measured variables sensors 5

8 Classical control structures Computing devices Physical systems monitored variables Human operator Set points Human Analog Device IP Device Control variables actuators CONTROLLER information flow Energy/material flow PROCESS measured variables sensors Point-to-point 5

9 Model-based control Closed-loop control Single-processor Single control goal Data belong to control DYNAMICS & CONTROL New control scenarios AS PROCESS DAS Controller 6

10 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 AS PROCESS DAS Controller 6

11 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 AS PROCESS DAS 6

12 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 AS PROCESS DAS Pervasive networks of sensors, controllers and actuators 6

13 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 AS PROCESS DAS Decision System Pervasive networks of sensors, controllers and actuators 6

14 New control scenarios: Networked systems Control Challenges 7

15 Control Challenges DYNAMICS & CONTROL New control scenarios: Networked systems 8

16 Control Challenges - New control scenarios: Embedded Control systems 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. 9

17 - New control scenarios: Embedded Control systems DYNAMICS & CONTROL Control Challenges 10

18 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

19 CPS: Human device interaction 12 19

20 CPS: Human device interaction 12 20

21 CPS: Human device interaction 12 21

22 Control Challenges Bio-inspired systems: Flock of birds Surveillance team 13

23 Control Challenges New Applications: Bio-systems Thousands of genes in a cellule Gene: carry instructions to generate a protein Artificial genes generate proteins with stabilizer 14

24 Control Challenges New Applications: Bio-systems Space 15

25 Control Challenges Control risks: Failures Unexpected disturbances Redundance DYNAMICS & CONTROL 16

26 Control Challenges Control risks: Failures Unexpected disturbances Redundance DYNAMICS & CONTROL 16

27 A LOOK AT THE FUTURE New Challenges Reasoning about space and time Resource management Deal with uncertainty Dynamic group communication Security Fault tolerance Event-driven control Data driven sensors 17

28 What have we seen today? Control Benefits (III) Networking, integration, dissemination Control structure evolves Control allows new applications Open field for research and development Control risks CCC: Computers, communications and Control 18

29 What is next? Modules: DYNAMICS & CONTROL 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 19

30 ATTRIBUTION IMAGES Some of the images of this presentation are from the following sources: Slide Google's augmented reality head mounted display as glass form. By Tedeytan. Slide Slide By AzaToth, [Public domain], undefined. Slide By International Space Station Image Credit: NASA. Slide 15-2, Kennedy Space Centre, Florida. 20

31 DYNAMICS and CONTROL Module V(III) Control Benefits Thank you! A look at the future Presented by Pedro Albertos Professor of Systems Engineering and Control - UPV