Data-Reconciliation Based Fault-Tolerant Model Predictive Control for a Biomass Boiler

This paper presents a novel, effective method to handle critical sensor faults affecting a control system devised to operate a biomass boiler. In particular, the proposed method consists of integrating a data reconciliation algorithm in a model predictive control loop, so as to annihilate the effect...

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Bibliographic Details
Main Authors: Palash Sarkar, Jukka Kortela, Alexandre Boriouchkine, Elena Zattoni, Sirkka-Liisa Jämsä-Jounela
Format: Article
Language:English
Published: MDPI AG 2017-02-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/10/2/194