Distributed sensor architecture for intelligent control that supports quality of control and quality of service.
This paper is part of a study of intelligent architectures for distributed control and communications systems. The study focuses on optimizing control systems by evaluating the performance of middleware through quality of service (QoS) parameters and the optimization of control using Quality of Control (QoC) parameters. The main aim of this work is to study, design, develop, and evaluate a distributed control architecture based on the Data-Distribution Service for Real-Time Systems (DDS) communication standard as proposed by the Object Management Group (OMG). As a result of the study, an architecture called Frame-Sensor-Adapter to Control (FSACtrl) has been developed. FSACtrl provides a model to implement an intelligent distributed Event-Based Control (EBC) system with support to measure QoS and QoC parameters. The novelty consists of using, simultaneously, the measured QoS and QoC parameters to make decisions about the control action with a new method called Event Based Quality Integral Cycle. To validate the architecture, the first five Braitenberg vehicles have been implemented using the FSACtrl architecture. The experimental outcomes, demonstrate the convenience of using jointly QoS and QoC parameters in distributed control systems.
University Institute of Control Systems and Industrial Computing (ai2), Polytechnic University of Valencia (UPV), Camino de Vera, Valencia 46022 , Spain. jopolu@ai2.upv.es.
Jose-Luis
JL
Poza-Lujan
University Institute of Control Systems and Industrial Computing (ai2), Polytechnic University of Valencia (UPV), Camino de Vera, Valencia 46022 , Spain. jposadas@ai2.upv.es.
Juan-Luis
JL
Posadas-Yagüe
University Institute of Control Systems and Industrial Computing (ai2), Polytechnic University of Valencia (UPV), Camino de Vera, Valencia 46022 , Spain. jsimo@ai2.upv.es.
José-Enrique
JE
Simó-Ten
University Institute of Control Systems and Industrial Computing (ai2), Polytechnic University of Valencia (UPV), Camino de Vera, Valencia 46022 , Spain. rausifer@ai2.upv.es.
Raúl
R
Simarro
University Institute of Control Systems and Industrial Computing (ai2), Polytechnic University of Valencia (UPV), Camino de Vera, Valencia 46022 , Spain. gbenet@ai2.upv.es.
Ginés
G
Benet