 Candidate NCSs  Control Strategies Introduction DCS Structure Why NCSs ? Factors Affecting NCSs Performance Modeling of NCSs with Network–Induced Delay  Delay / Sampling Time Ratio Effect  NCSs Design Approaches  Candidate NCSs  Control Strategies  Results  Conclusion & Future Trends 1

Introduction  What is Networked Control Systems ? Control Network  Data Networks Versus Control Networks  Concept of Distributed Control Systems 2

DCS Structure Local Data Links 3

• Pervasive Flow of Mixed Data Why NCSs ? • Easy Problem Diagnostic • Less Expensive • Complexity Management • Pervasive Flow of Mixed Data • Attractive Features of Serial Communication Network 4

Factors Affecting NCSs Performance Delay Mis-Sync Buffer Saturation NW Architecture Sampling Time Noise 5

Modeling of NCSs with Network-Induced Delay Delay Models • Constant • Random 6

Delay/Sampling Time Ratio Effect  Delay < Sampling Period  Longer Delays 7

NCSs Design Approaches Begin NW To Be Designed Existing NW Select Communication Protocol Delay is A Given Condition Control Strategies Minimize Delay 8

Candidate NCSs Small Data Large Data 58% 98% Best Okey Worst C.E 0.5 5 10-100 Data Rate (Mbps) More Less O.H 0-8 B 0-510 B 46-1500 B Data Size 47 bit 7 byte 26 byte Overhead CSMA/AMP Token Bus CSMA/CD MAC DeviceNet ControlNet Ethernet 9

Simulation of a Real Dial-Up Internet Connection www.shunra.com www.yahoo.com 10

Control Strategies Results • Phase Lead & Phase Lag • Pole Placement • State Estimator • Deadbeat Results 11

Conclusion  Concept of NCS  Focus on Delay Problem  Proposed Solutions Candidate Networks Design Control Strategies Phase Lead Works Well Pole Placement is Delay Dependent State Estimator is the Best for Loss Deadbeat is the Fastest One 12

Future Trends  Hardware Implementation DC Motor Applying a Control Strategy  Simulation on IUG Network 13

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