Safe Controllability using Online Prognosis
Ana Teruko Yokomizo Watanabe, Andre Bittencourt Leal, José E.R. Cury, Max Hering de Queiroz · IFAC-PapersOnLine · 2017
The aim of this paper is to report a new concept of safe controllability using prognosis to deal with problems of fault tolerant control in the framework of discrete event systems modeled as automata. To achieve this goal, a necessary and sufficient condition for a DES to be safe controllable by prognosis is introduced and an algorithm to obtain the prognosis as early as possible is presented. We describe how the problem can be solved using a special kind of diagnoser called prognosing controller, which is used to prognose the faults and switch between the nominal supervisor and one degraded supervisor in a bank of reconfigured supervisors. This approach allows the system be more proactive by prognosing occurrences of faults events and anticipating the control actions.