Optimal selection of sensors for state estimation in a reactive distillation process

Sumana, C.; Venkateswarlu, Ch.

doi:10.1016/j.jprocont.2009.01.003

Cited by 31 publications

(23 citation statements)

References 24 publications

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“…As a second criterion, configurations where sensors are placed on experimental hot-spots locations (see step 1 of the algorithm) are preferred to other ones. Remaining placements are ranked according to metrics to measure the observability of a system (i.e.the observability Gramian [17]- [19]). Finally according to aforementioned metrics, Pareto point placements are computed.…”

Section: Algorithmmentioning

confidence: 99%

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Temperature sensor placement in thermal management systems for MPSoCs

Zanini

Atienza

Jones

et al. 2010

Proceedings of 2010 IEEE International Symposium on Circuits and Systems

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Abstract-Modern high-performance processors employ thermal management systems, which rely on accurate readings of on-die thermal sensors. Systematic tools for analysis and determination of best allocation and placement of thermal sensors is therefore a highly relevant problem. This paper proposes a novel technique for determining the placement of temperature sensors on complex Multi-Processor Systems-on-Chips (MPSoCs) floorplans. The proposed method first analyzes the observability of the system for all the possible sensor placement configurations. Minimum sensors placements ensuring the observability of the portion of the MPSoC system that is relevant to the designer are then compared with simulation-based data coming from a wide set of benchmarks. Pareto points identifying the best configurations are than stored. According to user designer needs the best configuration is selected and a specific location is assigned to each sensor. We compared the proposed method with state-ofthe-art approaches [5], [6]. Results show a reduction up to 4.5× in the number of required sensors.

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Section: Algorithmmentioning

confidence: 99%

“…In [17] the authors select the location of the sensing element according to a gramian-based sensor strategy. In [18] the problem of making a system observable is solved by employing of graph theory.…”

Section: Introductionmentioning

confidence: 99%

Temperature sensor placement in thermal management systems for MPSoCs

Zanini

Atienza

Jones

et al. 2010

Proceedings of 2010 IEEE International Symposium on Circuits and Systems

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“…The problem of observability quantification has been discussed in many papers, including [2][3][4][5][6][7] to name a few related to the sensor placement. Observability Gramian is one of the observability degree measures used most often.…”

Section: Introductionmentioning

confidence: 99%

“…However, other references suggested that the suitability of different observability criteria depended on the case and application. Through further evaluation of the observer performance, it was deduced in [2] that the 'condition number' (CN) criterion was better suited for sensor placement in a multicomponent distillation and reactive distillation rather than the former two criteria. Although some other references have proposed similar criteria and applied it to sensor and actuator placement of a shell structure [5] or proposed a new measure such as determinant criterion [8], no references have investigated the observability degree for a case study of thermal sensors placement in a battery string.…”

Section: Introductionmentioning

confidence: 99%

Observability degree criteria evaluation for temperature observability in a battery string towards optimal thermal sensors placement

Lystianingrum

Hredzak

Agelidis

et al. 2014

2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)

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Temperature measurement in battery strings is most critical not just for safety reasons but also to restrain operating conditions that would reduce the battery lifetime. However, placing a thermal sensor in each individual battery cell within a battery string implies cost and space. In this paper, the optimal number and location of thermal sensors in a forced-cooled battery string is discussed. Different observability Gramianbased observability criteria are used to evaluate and compare observability degree of placement of different number and different combinations of sensors locations in the battery string. The observability degree is further verified by evaluating the observer performance for the different sensor locations. The most suitable observability criteria to ascertain the optimal location of such thermal sensors are recommended.

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“…Sumana and Venkateswarlu [3] used the trace of the observability Gramian and the condition number to obtain the best sensor configuration for a reactive distillation column.…”

Section: Introductionmentioning

confidence: 99%

Optimal Sensor Configuration and Fault-Tolerant Estimation of Vehicle States

Zarringhalam

Rezaeian

Fallah

et al. 2013

SAE Int. J. Passeng. Cars – Electron. Electr. Syst.

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This paper discusses observability of the vehicle states using different sensor configurations as well as fault-tolerant estimation of these states. The optimality of the sensor configurations is assessed through different observability measures and by using a 3-DOF linear vehicle model that incorporates yaw, roll and lateral motions of the vehicle. The most optimal sensor configuration is adopted and an observer is designed to estimate the states of the vehicle handling dynamics. Robustness of the observer against sensor failure is investigated. A fault-tolerant adaptive estimation algorithm is developed to mitigate any possible faults arising from the sensor failures. Effectiveness of the proposed fault-tolerant estimation scheme is demonstrated through numerical analysis and CarSim simulation.

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Optimal selection of sensors for state estimation in a reactive distillation process

Cited by 31 publications

References 24 publications

Temperature sensor placement in thermal management systems for MPSoCs

Temperature sensor placement in thermal management systems for MPSoCs

Observability degree criteria evaluation for temperature observability in a battery string towards optimal thermal sensors placement

Optimal Sensor Configuration and Fault-Tolerant Estimation of Vehicle States

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