F. Cárdenas-Flores

Reconfigurable fault tolerant PID networked control for magnetic levitation case study

Abstract Nowadays dynamic behaviour performed by a computer network system shows the needs to address it from the perspective of a control system. One strategy to be followed it is the real-time modeling. Having obtained a way to represent a computer network system, next stage is to how control approach can be affected and modified. In that respect, this paper proposes a control reconfiguration strategy from the definition of an automata considering computer network reconfiguration. Several stages are studied, how computer network takes place as well as how control techniques is modified.

Reconfiguration control strategy using Takagi–Sugeno model predictive control for network control systems – a magnetic levitation case study

Abstract This paper presents a reconfiguration control strategy for network control systems that makes use of a fuzzy Takagi–Sugeno model for predictive control. The dynamic behaviour of a network control system is modelled by using a real-time implementation of the scheduling algorithm. Here, this is applied for a magnetic levitation system, as a plant that is also modelled using a fuzzy Takagi–Sugeno approach. Thus, this paper covers several design issues, such as how to model a computer network, a plant, and a reconfiguration control strategy, as well as how the reconfiguration control strategy is modified using the fuzzy approach.

Reconfigurable Fuzzy Takagi Sugeno Networked Control using EDF Scheduling in xPC Target

Nowadays dynamic behaviour performed by a computer network system shows the posibility to be addressed from the perspective of a control system. This paper discusses the use of Fuzzy Takagi Sugeno real time digital control with hardware-in-the-loop (HIL) magnetic levitator (maglev) using xPC Target. Here xPC Target is used as operating environment for real time processing and to connect a computer network system. In that respect, this paper proposes a control reconfiguration strategy from the definition of a Takagi-Sugeno approach, considering computer network reconfiguration. Several stages are studied, how computer network takes place as well as how control techniques are modified using Fuzzy Takagi- Sugeno Control.

Red Reconfigurable Mediante el Modelo de Control Predictivo para Tres Bandas Transportadoras como Caso de Estudio

In this work a co-design strategy to a reconfigurable distributed environment using real time scheduling strategies is presented. The proposal is applied to the study of a three band conveyor belt and a control system is added to the design using the predictive control model. The bounding of the response time and the change of scenario based on finite state machines, allow that the time response be pseudo dynamic and known. It is concluded that the reconfiguration+modelling+design strategy fulfils the expectations of maintaining certain level of performance although uncertainties are present due to time delays.

Fault classification for a class of time-varying systems by using Overlapped ART2A Networks

Fault diagnosis currently offers different alternatives to classify faults at early stages, such as model-based and knowledge-based techniques. Nevertheless, fault classification for time-varying systems is still an open problem. Strategies such as self-organizing maps and principal component analysis ensure fault classification to bounded time-variance faults. The approach presented in this paper proposes the use of three non-supervised neural networks. The first two networks overlapped by certain time shift. The third network performs a comparison between the two networks outputs in the previous stage. As a result, the system classifies the fault even if the system is time-variant. The strategy named as Overlapped ART2A Network, aims to obtain an autonomous performance and on-line fault classification. Results show the effectiveness of the approach considering a case study with fault and fault-free scenarios.

Fault localization using neural networks and observers for autonomous elements

Fault detection and isolation (FDI) has become a useful strategy for determining fault appearance and on-line reconfiguration. However, unknown scenarios during on-line performance are still an open field for research. Different methods, such as knowledge-based techniques or analytical redundancy, have been followed. Nevertheless, both methods present inherent drawbacks for isolation. The present paper introduces a combined approach of model- and knowledge-based methods, using an autonomous element for isolation of unknown scenarios during on-line stage. The contribution is to integrate both methods to accomplish fault localization for unknown scenarios, based on previous information. Faults are constrained to certain bounded frequency response.

Reconfigurable fuzzy networked control following LMI based on a structural reconfiguration algorithm considering time delays

In the last years the employment of reconfigurable control systems (fault tolerant) has been increased in the industrial sector. As a consequence has emerged a concept of codesign attracting numerous investigations, the codesign most common in the area of networked control systems (NCSs) that proposes the scheduling of tasks of each node in conjunction with the design of a control strategy. This paper presents a strategy for the reconfiguration of fault tolerant control through codesign with the scheduling of tasks and the reconfiguration of fuzzy Takagi-Sugeno (TKS) control for NCSs. The reconfiguration by scheduling uses real-time theory to bound the time delays in the nodes of the network, the reconfigurable control tolerates the faults of the system as an increase in time delays in the system. The reconfigurable fault tolerant control is applied to-hardware-in the-loop (HIL) magnetic levitator (maglev) using xPC Target.

Reconfigurable Fault Tolerant PID Networked Control for Magnetic Levitation Case Study

: Nowadays dynamic behaviour performed by a computer network system shows the needs to address it from the perspective of a control system. One strategy to be followed it is the real-time modeling. Having obtained a way to represent a computer network system, next stage is to how control approach can be affected and modified. In that respect, this paper proposes a control reconfiguration strategy from the definition of an automata considering computer network reconfiguration. Several stages are studied, how computer network takes place as well as how control techniques is modified. Copyright

Reconfigurable networked fuzzy takagi sugeno control for magnetic levitation case study

Nowadays the dynamic behavior of a computer network system can be modeled from the perspective of a control system. One strategy to be follow is the real-time modeling of magnetic levitation system. After this representation, next stage is how a control approach can be affected and modified. In that respect, this paper proposes a control reconfiguration strategy from the definition of an Intelligent Fuzzy System computer network reconfiguration. Several stages are including, how computer network takes place, as well as how control techniques are modified using Takagi-Sugeno Fuzzy Control.