Networked control of spatially distributed processes with sensor-controller communication constraints

Sun, Yaqi; Ghantasala, Sathyendra; El‐Farra, Nael H.

doi:10.1109/acc.2009.5160483

Cited by 33 publications

(27 citation statements)

References 16 publications

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“…We consider a networked control architecture similar to the one considered in [18], where the sensor-controller communication occurs at discrete times, while the controlleractuator (or controller-process) communication is assumed to be continuous.…”

Section: Preliminariesmentioning

confidence: 99%

“…To reduce the information transfer from the sensors to the controller over the communication network, the model of (7) is embedded in the control system and used to provide the controller with an estimate of the state of the system of (6) during the periods of sensor-controller communication suspension [14], [18]. The state of the model is then updated using the actual state measurement when it is available from the network.…”

Section: B Implementation Over the Networkmentioning

confidence: 99%

“…Efforts to address sensor-controller communication constraints in the context of spatially distributed control systems were undertaken in a number of recent studies (e.g., [18]- [20]) which focused on highly-dissipative distributed processes and led to various finite-dimensional networked control and scheduling design methodologies that enforce closed-loop stability with minimal sensor-controller communication requirements. The resulting design methods, however, do not explicitly consider fault diagnosis or handling in the control system design.…”

Section: Introductionmentioning

confidence: 99%

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Data-driven actuator fault identification and accommodation in networked control of spatially-distributed systems

Yao

El‐Farra

2014

2014 American Control Conference

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This work presents a methodology for the integrated identification and accommodation of control actuator faults in spatially distributed systems controlled over a resourcelimited communication network. A finite-dimensional modelbased networked controller that enforces closed-loop stability using minimal sensor-controller communication is initially designed, and an explicit characterization of the networked closedloop stability region is obtained. Fault identification is carried out using a moving-horizon least-squares parameter estimation scheme embedded in the sensors to estimate on-line the size of the fault using the sampled state and input data. Once the fault is identified and its magnitude estimated and communicated to the controller, a number of possible stability-preserving fault accommodation strategies are devised, including updating the post-fault control model, adjusting the controller design parameters, or a combination of both. The selection of the appropriate accommodation strategy is made on the basis of the estimated fault magnitude and the characterization of the networked closed-loop stability region. Finally, the proposed methodology is illustrated using a representative diffusionreaction process example.

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Section: Preliminariesmentioning

confidence: 99%

Section: B Implementation Over the Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Data-driven actuator fault identification and accommodation in networked control of spatially-distributed systems

Yao

El‐Farra

2014

2014 American Control Conference

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“…To achieve our goals we will use a similar approach to the networked feedback controller designs for DPS presented in [21]. The controller will be synthesized for dissipative systems which can be discretized to finite dimensional slow (and possibly unstable) and infinite-dimensional fast subsystems when represented in Hilbert spaces.…”

Section: Introductionmentioning

confidence: 99%

“…When control system elements communicate over a limited bandwidth, improved methods are needed for state estimation and controller design (see [14] and references therein). The networked modelbased control of lumped systems has been studied in detail in [16], while networked controllers that circumvent the sensorcontroller communication constrains in distributed parameter systems has been investigated in [21], [23], [24].…”

Section: Introductionmentioning

confidence: 99%

Feedback control of linear distributed parameter systems via adaptive model reduction in the presence of device network communication constraints

Pourkargar

Armaou

2014

2014 American Control Conference

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We focus on model-based networked control of general linear dissipative distributed parameter systems, the infinite dimensional representation of which can be decomposed to finite-dimensional slow and infinite-dimensional fast and stable subsystems. The controller synthesis of such systems is addressed using adaptive proper orthogonal decomposition (APOD). Specifically, APOD is used to recursively construct locally accurate low dimensional reduced order models (ROMs). The ROM is included in the control structure to reduce the frequency of spatially distributed sensor measurements over the network by suspending communication. The main objective of the current work is to identify a criterion for minimizing communication bandwidth (snapshots transfer rate) from the distributed sensors to the control structure considering closedloop stability. The proposed approach is successfully used to regulate the thermal dynamics in a tubular chemical reactor.

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APOD‐based control of linear distributed parameter systems under sensor/controller communication bandwidth limitations

Pourkargar

Armaou

2014

AIChE Journal

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The synthesis of a model-based control structure for general linear dissipative distributed parameter systems (DPSs) is explored in this manuscript. Discrete-time distributed state measurements (called process snapshots) are used by a continuous-time regulator to stabilize the process. The main objective of this article is to identify a criterion to minimize the communication bandwidth between sensors and controller (snapshots acquisition frequency) using linear systems analysis and still achieve closed-loop stability. This objective is addressed by adding a modeling layer to the regulator. Theoretically, DPSs can be well described by low dimensional ordinary differential equation models when represented in functional spaces; practically, the model accuracy hinges on finding basis functions for these spaces. Adaptive proper orthogonal decomposition is used to identify statistically important basis functions and establish locally accurate reduced order models which are then used in controller design. The proposed approach is successfully applied toward thermal regulation in a tubular chemical reactor.

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Networked control of spatially distributed processes with sensor-controller communication constraints

Cited by 33 publications

References 16 publications

Data-driven actuator fault identification and accommodation in networked control of spatially-distributed systems

Data-driven actuator fault identification and accommodation in networked control of spatially-distributed systems

Feedback control of linear distributed parameter systems via adaptive model reduction in the presence of device network communication constraints

APOD‐based control of linear distributed parameter systems under sensor/controller communication bandwidth limitations

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