Information
Coordinator:Alfons Crespo
Finantial institution:Spanish Ministry of Education, Science and Technology (DPI200204432-C03-01)
Start: 01/11/2002
End: 01/11/2005
Partners: Department of Systems Engineering and Control - UPV
Researchers: Ismael Ripoll
Jorge Real
José Simó
Manuel Lluesma Camps
Patricia Balbastre Betoret
Vicent Lorente Garcés
Abstract
Industrial control systems must cover a number of facilities, from simple simultaneous regulation/tracking of process variables to re-structuring of the control system under different operating modes. This includes supervision tasks, fault tolerant operation, real time reaction as well as validation of actions and information. Usually, these activities are implemented in a hierarchical structure, even with different technological basis. Embedded system offer robustness and reliability, other than economy and size, making them suitable for control applications under uneven environments, requiring great autonomy and well define tasks. On the other hand, the traditional limitations on the resources result in systems with reduced performances, less flexibility in performing various activities and, hence, being very specialised. In this project, from a detailed analysis of the features of the current embedded systems, different solution are foreseen in order to improve their performances: 1) developing reconfigurable real time kernels allowing their adaptation to different operating modes, with a better use of the available resources; 2) reviewing the control algorithms to incorporate multitasking constraints, reduction of performance degrading and the use of optional tasks as the available computing time permits; 3) including supervisory and coordination tasks, mainly for autonomous and interactive systems, and 4) developing smart interface systems dealing with unpredictable and inconvenient operating conditions, non uniform sampling patterns, missing data, with data fusion and the capability of reconfiguration of the acquisition and action systems. The experience achieved in applying this results to the development of an embedded control system for a autonomous vehicle with manipulating options will be used as a basis to establish a methodology for the design, adaptation and validation of the software required in this kind of applications.