1 / 26

A Simple Distributed Method for Control over Wireless Networks

A Simple Distributed Method for Control over Wireless Networks. Authors : Miroslav Pajic , Shereyas Sundaram , George J. Pappas and Rahul Mangharam. Presented by: Raquel Guerreiro Machado. Important Concepts. Wireless Networked Control Systems Distributive

kass
Download Presentation

A Simple Distributed Method for Control over Wireless Networks

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. A Simple Distributed Method for Control over Wireless Networks Authors: MiroslavPajic, ShereyasSundaram, George J. Pappas and Rahul Mangharam Presented by: Raquel Guerreiro Machado

  2. Important Concepts • Wireless Networked Control Systems • Distributive • Wireless: dynamics can change operating point and physical dynamics of the closed loops system • Mean Square Stability • Wireless Control Network (WCN) • Network as controller • Increases robustness to link failure • Enables system compositionality and scalability

  3. Control Systems Sensors CONTROLLER PLANT Actuators

  4. Networked Control Systems Routing Routing Controllers Sensors Actuators

  5. Wireless Control Networks

  6. Wireless Control Networks • No centralized controller • Each node maintain a state • States stored in nodes are obtained through linear combination of its previous state and neighbors information • Sensors: Plant’s state information • Control nodes: Node’s state • Plant’s inputs are computed from the Control node states that are neighbors of the actuators

  7. Wireless Control Networks

  8. Wireless Control Networks • Plant’s update procedure: • Node’s update procedure: • Closed-loop system:

  9. Stable Configuration

  10. Robustness to link failures • More realistic system model • Link quality modeled as probability of dropping packets • Unreliable link modeled as memoryless, discrete, independent and identically distributed random process

  11. Robustness to link failures • State update procedure

  12. Robustness to link failures • State update procedure

  13. Robustness to link failures • The Wireless Control Network: Synthesis and Robustness • A simple Distributed Method for Control over Wireless Networks

  14. Robustness to link failures • Extract the maximal probability if message drops (pm) for which there exists a configuration that guarantees MSS

  15. Robustness to link failures

  16. Robustness to node failures • Precompute different stabilizing configurations that correspond to all possible choices of k or fewer nodes failing • Each node Nkdifferent sets of weights for all neighbors • Should maintain d*Nkscalar weights, d = # of neighbors • Design WCN so if some nodes fail it remains stable • Stability condition: • So far, can deal with a single node failure

  17. Scheduling Communication • Each node transmits exactly once per frame • Possible to schedule more than one node per time slot • Graph coloring techniques • di is the maximal degree of interference graph • Minimum of di time slots. • Communication schedule is static

  18. Scheduling Communication • WCN task: (T,,,)

  19. New control loops • Can add a new plant if: • Each node can transmit all of its P+1 states in a single communication packet • Possible to schedule calculation of the (P+1)st linear combination with no effect to the other P calculations • Communication budget (): # of unused bytes in ’s transmission packet. • Computation budget (=): time left for computation in a given node.

  20. Industrial Application • Flows: • Reflux (L) • Boilup (V) • Distillate (D) • Bottom flow • Outputs: • - top composition • - bottom composition • - liquid levels in the condenser • - liquid levels in the reboiler

  21. Industrial Application

  22. Experimental Platform • Firefly embedded wireless nodes. • Based on Atmel ATmega1281 8-bit microcontroller • Chipcon CC2420 IEEE 802.15.4 standard-compliant radio transciever • Linear iterative procedure implemented as a simple task on top of the nano-RK RTOS • Period of WCN task is 80ms • The plant was implemented in Simulink • For the interface between Simulink and real hardware: National Instruments PCI-6229

  23. Experimental Platform

  24. Experimental Platform

  25. Experimental Results

  26. Limitations and Future Work • WCN robustness to link failures analysis assume independent link failures. • Scheme to handle node failures can be applied only if the network topology the requirements for which there exists a stabilizing configuration • Assumes the topology of the WCM is specified a priori

More Related