Distributed adaptive sensor fault tolerant control for smart buildings

Papadopoulos, Panayiotis; Reppa, Vasso; Polycarpou, Marios M.; Panayiotou, Christos G.

doi:10.1109/cdc.2015.7402690

Cited by 13 publications

(11 citation statements)

References 12 publications

(45 reference statements)

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“…Most works in the literature of model-based fault diagnosis address the problem of fault diagnosis for single-zone HVAC systems [22], [35]- [37]. Only few of them deal with fault diagnosis in multi-zone HVAC systems, instead assuming that there is no heat transfer between zones [38]- [41], or assuming that there is heat transfer between zones only through walls (no doors) [40], [42]. Albeit simpler, these models may be unrealistic in practice because they cannot not capture the variant heat transfer between building zones due to the presence of doors, which is a stronger physical interconnection than the heat transfer through walls.…”

Section: B Literature Surveymentioning

confidence: 99%

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Scalable distributed sensor fault diagnosis for smart buildings

Papadopoulos

Reppa

Polycarpou

et al. 2020

IEEE/CAA J. Autom. Sinica

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The enormous energy use of the building sector and the requirements for indoor living quality that aim to improve occupants' productivity and health, prioritize Smart Buildings as an emerging technology. The Heating, Ventilation and Air-Conditioning (HVAC) system is considered one of the most critical and essential parts in buildings since it consumes the largest amount of energy and is responsible for humans comfort. Due to the intermittent operation of HVAC systems, faults are more likely to occur, possibly increasing eventually building's energy consumption and/or downgrading indoor living quality. The complexity and large scale nature of HVAC systems complicate the diagnosis of faults in a centralized framework. This paper presents a distributed intelligent fault diagnosis algorithm for detecting and isolating multiple sensor faults in large-scale HVAC systems. Modeling the HVAC system as a network of interconnected subsystems allows the design of a set of distributed sensor fault diagnosis agents capable of isolating multiple sensor faults by applying a combinatorial decision logic and diagnostic reasoning. The performance of the proposed method is investigated with respect to robustness, fault detectability and scalability. Simulations are used to illustrate the effectiveness of the proposed method in the presence of multiple sensor faults applied to a 83-zone HVAC system and to evaluate the sensitivity of the method with respect to sensor noise variance.

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Section: B Literature Surveymentioning

confidence: 99%

“…In previous works, the authors designed and evaluated a distributed approach for sensor fault detection and isolation [39], [40] and distributed sensor fault accommodation [42], [45] in HVAC systems. More recently, the authors proposed a distributed methodology to identify and isolate actuator and sensor faults [31].…”

Section: B Literature Surveymentioning

confidence: 99%

Scalable distributed sensor fault diagnosis for smart buildings

Papadopoulos

Reppa

Polycarpou

et al. 2020

IEEE/CAA J. Autom. Sinica

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“…Residential and commercial buildings are responsible for over one third of global energy usage, and nearly half of this consumption refers to heating, ventilation and air conditioning (HVAC) systems [23]. During its operation, it is inevitable that some faults and malfunctions occur in one or more HVAC components, which are regarded as a key reason for increases in the energy consumption [24], [25].…”

Section: A Simulation Examplementioning

confidence: 99%

Active Actuator Fault Tolerant Control Based on Generalized Internal Model Control and Performance Compensation

2019

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In this paper, two active fault-tolerant control (AFTC) structures are proposed for multiplicative and additive actuator faults respectively. Considering that the traditional generalized internal model control (GIMC) changes the dynamic input-output relationship of the original system, more exact fault information is employed to design the robustification controller of GIMC with the help of fault diagnosis observers. Further, a feedforward compensation unit and a feedback compensation unit are respectively designed for multiplicative and additive faults, striving to approximately recover the system performance to the normal one. Finally, an air handling unit (AHU) system is provided to verify the effectiveness and superiority of the proposed structures.

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“…where x s ∈ R represents the water temperature of the storage tank (system state) and u s ∈ R denotes the normalized energy in the heat pump (control input are described in [Papadopoulos et al (2015b)]. The state of Σ s (water temperature in storage tank) is measured by the sensor S s , characterized by…”

Section: Problem Formulationmentioning

confidence: 99%

Distributed Diagnosis of Actuator and Sensor Faults in HVAC Systems * *This work was supported by the European Research Council under the ERC Advanced Grant ERC-2011-AdG-291508

2017

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This paper presents a model-based methodology for diagnosing actuator and sensor faults affecting the temperature dynamics of a multi-zone heating, ventilating and airconditioning (HVAC) system. By considering the temperature dynamics of the HVAC system as a network of interconnected subsystems, a distributed fault diagnosis architecture is proposed. For every subsystem, we design a monitoring agent that combines local and transmitted information from its neighboring agents in order to provide a decision on the type, number and location of the faults. The diagnosis process of each agent is realized in three steps. Firstly, the agent performs fault detection using a distributed nonlinear estimator. After the detection, the local fault identification is activated to infer the type of the fault using two distributed adaptive estimation schemes and a combinatorial decision logic. In order to distinguish between multiple local faults and propagated sensor faults, a distributed fault isolation is applied using the decisions of the neighboring agents. Simulation results of a 5-zone HVAC system are used to illustrate the effectiveness of the proposed methodology.

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Distributed adaptive sensor fault tolerant control for smart buildings

Cited by 13 publications

References 12 publications

Scalable distributed sensor fault diagnosis for smart buildings

Scalable distributed sensor fault diagnosis for smart buildings

Active Actuator Fault Tolerant Control Based on Generalized Internal Model Control and Performance Compensation

Distributed Diagnosis of Actuator and Sensor Faults in HVAC Systems * *This work was supported by the European Research Council under the ERC Advanced Grant ERC-2011-AdG-291508

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