Dependability of distributed control system fault tolerant units

Pimentel, Juan; Salazar, Mikel

doi:10.1109/iecon.2002.1182903

Cited by 12 publications

(6 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To provide the reliability analysis the Monte Carlo simulation (further only MCS) method was used. The multiple simulations of the modelled architecture (Pimentel et al 2002) are provided to obtain the reliability curves for all above described NCCS. The MCS is a statistical method where its exactness is significantly influenceable by the number of provided simulations (sample's cardinality).…”

Section: Simulations and Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Reliability increasing through networked cascade control structure – consideration of quasi-redundant subsystems

Galdun

Thiriet²,

Ligus³

et al. 2008

IFAC Proceedings Volumes

View full text Add to dashboard Cite

The paper presents common cascade control architecture where specific kind of redundancy could be considered. There are different approaches how to increase the reliability of networked control systems. Common approach uses redundant components in control system i.e. passive or active redundancy. We deal with quasi-redundant subsystems (shared redundancy) which could be very useful when critical failure appears. This type of redundancy offers several important advantages such as minimizing the number of components as well as reliability increasing. The example of a four-rotor minihelicopter is presented where a cascade control architecture is considered. The main contribution of this paper is that it helps to determine the applications where quasi-redundant subsystems are a good solution to remain in a significant reliability level even if critical failure appears. (Copyright IFAC 2008).

show abstract

Section: Simulations and Resultsmentioning

confidence: 99%

“…The primary aim of redundant components is to compensate the component failure in order to achieve its mission. There are two basic types of redundancy (Pimentel et al, 2002):…”

Section: Redundant Subsystems -Basic Typesmentioning

confidence: 99%

Reliability increasing through networked cascade control structure – consideration of quasi-redundant subsystems

Galdun

Thiriet²,

Ligus³

et al. 2008

IFAC Proceedings Volumes

View full text Add to dashboard Cite

show abstract

“…For implementing a new dependability concept [1], we designed a system diagram having next redundant facilities:…”

Section: Introductionmentioning

confidence: 99%

Conjunctural adaptive system for nuclear applications

Talpalariu

Matei

et al. 2009

2009 32nd International Spring Seminar on Electronics Technology

View full text Add to dashboard Cite

show abstract

“…The single controllers are able to communicate with each other in order to jointly decide the local switching sequence. The proposed FCS-MPC formulation is able to provide a feasible control implementation for systems with hard requirements involving fault tolerance, flexibility, and high control capabilities, without the solution of one large centralized optimization problem [29]- [31]. DMPC has been applied to power control of wind turbines [32], [33], voltage control of microgrids [34]- [36] and sequential or iterative control of industrial processes [37]- [40].…”

Section: Introductionmentioning

confidence: 99%

A Distributed Model Predictive Control Strategy for Back-to-Back Converters

Tarisciotti

Calzo

Gaeta

et al. 2016

IEEE Trans. Ind. Electron.

View full text Add to dashboard Cite

Abstract-In recent years Model Predictive Control (MPC) has been successfully used for the control of power electronics converters with different topologies and for different applications. MPC offers many advantages over more traditional control techniques such as the ability to avoid cascaded control loops, easy inclusion of constraint and fast transient response. On the other hand, the controller computational burden increases exponentially with the system complexity and may result in an unfeasible realization on modern digital control boards. This paper proposes a novel Distributed Model Predictive Control, which is able to achieve the same performance of the classical Model Predictive Control whilst reducing the computational requirements of its implementation. The proposed control approach is tested on a AC/AC converter in a back-to-back configuration used for power flow management. Simulation results are provided and validated through experimental testing in several operating conditions. Index Terms-Predictive control, Nonlinear control systems, Back-to-back converters.

show abstract

Dependability of distributed control system fault tolerant units

Cited by 12 publications

References 11 publications

Reliability increasing through networked cascade control structure – consideration of quasi-redundant subsystems

Reliability increasing through networked cascade control structure – consideration of quasi-redundant subsystems

Conjunctural adaptive system for nuclear applications

A Distributed Model Predictive Control Strategy for Back-to-Back Converters

Contact Info

Product

Resources

About