Методы автоматического поиска неисправностей и контроля сложных систем: обзор

In the face of continuously increasing cost pressure, a wide range of product versions and shorter innovation cycles, the demand for more versatile assembly and handling systems is steadily growing. Co-operating robots represent a suitable approach for this purpose. However, reconfiguring a multi-device robot cell usually involves a certain programming effort and unfavorable down times. By integrating self-optimizing functions, the complex task of reconfiguration is substantially simplified in order to make economic use not only of the referenced co-operating robotic systems. Therefore, several self-optimizing functions for different stages of production have been developed and applied to various production tasks. The implemented functions comprise self-optimizing planning and commissioning as well as a self-optimizing joining process. Based on the experience gained from these examples, the self-optimizing functions will be similarly applicable to various cases with rel atively small additional effort

Simulation of rational transfer functions with adjustable coefficients

Design techniques are described for the simulation of quadratic functions with independent control of each coefficient. Rational function approximations, for the simulation of dead time, are considered. Other typical examples are described and include the simulation of Butterworth functions, Chebyshev functions and orthonormal functions, which have application in self optimizing control systems

Towards the integration of process and quality control using multi-agent technology

The paper introduces a vision on the design of distributed manufacturing control systems using the multi-agent principles to enhance the integration of the production and quality control processes. It is highlighted how agent technology may enforce interaction of manufacturing execution system and distributed control system, enhancing the exploitation of the available information at the quality control and process control levels. A specific focus is made on a suitable engineering methodology for the design and realization of such concept. Innovation is also presented at the level of adaptive process control and self-optimizing quality control, with examples related to a home appliance production line

Digital Alchemy for Materials Design: Colloids and Beyond

Starting with the early alchemists, a holy grail of science has been to make desired materials by modifying the attributes of basic building blocks. Building blocks that show promise for assembling new complex materials can be synthesized at the nanoscale with attributes that would astonish the ancient alchemists in their versatility. However, this versatility means that making direct connection between building block attributes and bulk behavior is both necessary for rationally engineering materials, and difficult because building block attributes can be altered in many ways. Here we show how to exploit the malleability of the valence of colloidal nanoparticle "elements" to directly and quantitatively link building block attributes to bulk behavior through a statistical thermodynamic framework we term "digital alchemy". We use this framework to optimize building blocks for a given target structure, and to determine which building block attributes are most important to control for self assembly, through a set of novel thermodynamic response functions, moduli and susceptibilities. We thereby establish direct links between the attributes of colloidal building blocks and the bulk structures they form. Moreover, our results give concrete solutions to the more general conceptual challenge of optimizing emergent behaviors in nature, and can be applied to other types of matter. As examples, we apply digital alchemy to systems of truncated tetrahedra, rhombic dodecahedra, and isotropically interacting spheres that self assemble diamond, FCC, and icosahedral quasicrystal structures, respectively.Comment: 17 REVTeX pages, title fixed to match journal versio

Self-optimizing Uplink Outer Loop Power Control for WCDMA Network

The increasing demands for high data rates, drives the efforts for more efficient usage of the finite natural radio spectrum resources. Existing wideband code division multiple access (WCDMA) uplink outer loop power control has difficulty to answer to the new load on air interface. The main reason is that the maximum allowed noise rise per single user is fixed value. In worst case uplink load can be so high that all services, including conversational service, could be blocked. In this paper investigation has been performed to present correlation of main system parameters, used by uplink outer loop power control, to uplink load. Simulation has been created and executed to present difference in current implementation of uplink outer loop power control against proposed changes. Proposed solution is self-optimizing uplink outer loop power control in a way that maximum allowed noise rise per single user would be dynamically changed based on current uplink load on cell