Control reconfiguration

About: Control reconfiguration is a research topic. Over the lifetime, 22423 publications have been published within this topic receiving 334217 citations.

Equipment ontology for modular reconfigurable assembly systems

Abstract: Evolvable and Reconfigurable Assembly Systems (RAS) enable enterprises to rapidly respond to changes in today’s increasingly volatile and dynamic global markets. One of the key success factors for the effective use of RAS is methods and tools that can rapidly configure and reconfigure assembly systems driven by changing requirements. The focus of this paper is the development of a suitable equipment model to support the effective design of reconfigurable assembly systems. The work has been motivated by the need to provide solutions for increasing product customisation and volume changes over the product life-cycle that directly impact on the final product assembly. The paper proposes a comprehensive equipment ontology to enable effective decision-making during the design and evaluation of new RAS configurations. The proposed ontology is based on the function-behaviour-structure paradigm, and is formalised to facilitate its application in distributed web-enabled decision-making environments. The equipment configuration and reconfiguration approach and prototype decision-making environment are illustrated using system design examples.

A QoS-Oriented Reconfigurable Middleware for Self-Healing Web Services

Abstract: Maintaining the Quality of Service (QoS) is important for self-healing web service-based distributed interactive applications. It requires the ability to deal with permanently changing constraints both at the communication and the execution levels. Preventing or repairing QoS degradation also requires the capacity of identifying its possible or actual sources and the capacity of reconfiguration decision and enforcement. Dealing with these issues is especially challenging for web services since the self-healing solution has to preserve the dynamic composition property and to be seamless for the service requesters, while being always usable under the different deployment constraints. In this paper, we present a self-healing middleware framework able to provide the self-healing properties for QoS management in web service-based distributed interactive applications. The framework implementation has been achieved in the context of the WS-DIAMOND project. It covers the whole cycle of adaptation management including monitoring and analysis of QoS values, and substitution-based reconfiguration.

Fuzzy EP algorithm and dynamic data structure for optimal capacitor allocation in radial distribution systems

Abstract: Optimal reactive-power compensation in a radial distribution system requires the determination of the best set of locations for siting capacitors of minimum sizes. The total cost of compensation should be the least and must yield the maximum energy-loss reduction accounting for various load levels. Other controls such as transformer taps, reconfiguration options and existing reactive-power sources must be considered while searching for the optimal solution. Optimal selection of a few best sites from among a large set is a problem of high combinatorial order and difficult to solve using conventional optimisation techniques. Optimal sizing is a problem of a continuous nature. The paper proposes a single dynamic data structure for an evolutionary programming (EP) algorithm that handles the problems of siting and sizing of new shunt capacitors simultaneously while considering transformer taps, existing reactive-power sources and reconfiguration options, accounting for different load levels and time durations. A fuzzy model of the objective function is developed for optimisation in the EP framework. The proposed fuzzy EP method is tested on two cases of a 69-bus radial distribution system.

Embedded Runtime Reconfigurable Nodes for Wireless Sensor Networks Applications

Abstract: The use of reconfigurable hardware (HW) can improve the processing performance of many systems, including Wireless Sensor Networks (WSNs). Moreover, reconfigurable devices permit remote and runtime HW reconfiguration, which implies benefits in WSNs deployment and maintainability and, finally, cost reduction. In this paper, WSN node runtime reconfigurability is tackled from several aspects. First, the sensor node includes a commercial reconfigurable device, a Field Programmable Gate Array (FPGA), that permits to take advantage of the tools and support provided by the industry, while exploiting the inherent hardware parallelism. Second, two software (SW) and hardware reconfiguration scenarios are defined along with a support middleware. Third, in order to provide runtime reconfigurability to the WSN node, a complete runtime reconfigurable system has been defined and designed for the FPGA included in the node. Fourth, the HW reconfiguration cost has been evaluated, as well as the cost of transmitting new HW configurations and SW programs through the network, based on a set of defined parameters. Finally, the feasibility of the runtime reconfigurable system has been demonstrated with a use case.

The GRD chip: genetic reconfiguration of DSPs for neural network processing

Abstract: This paper describes the GRD (Genetic Reconfiguration of DSPs) chip, which is evolvable hardware designed for neural network applications. The GRD chip is a building block for the configuration of a scalable neural network hardware system. Both the topology and the hidden layer node functions of a neural network mapped on the GRD chips are dynamically reconfigured using a genetic algorithm (GA). Thus, the most desirable network topology and choice of node functions (e.g., Gaussian or sigmoid function) for a given application can be determined adaptively. This approach is particularly suited to applications requiring the ability to cope with time-varying problems and real-time constraints. The GRD chip consists of a 100 MHz 32-bit RISC processor and 15 33 MHz 16-bit DSPs connected in a binary-tree network. The RISC processor is the NEC V830 which executes mainly the GA. According to chromosomes obtained by the GA, DSP functions and the interconnection among them are dynamically reconfigured. The GRD chip does not need a host machine for this reconfiguration. This is desirable for embedded systems in practical industrial applications. Simulation results on chaotic time series prediction are two orders of magnitude faster than on a Sun Ultra 2.