Manual visual inspection for defect detection in manufacturing can lead to high false positive rates. This paper compares data mining techniques for the binary classification of defects in flat products in a relativel...
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It is concluded from the results of testing the frequency characteristics of the sub micron precision machine tool servo control system, that the existence of several oscillating modalities is the main factor that aff...
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It is concluded from the results of testing the frequency characteristics of the sub micron precision machine tool servo control system, that the existence of several oscillating modalities is the main factor that affects the performance of the control system. To compensate for this effect,several concave filters are utilized in the system to improve the control accuracy. The feasibility of compensating for several oscillating modalities with a single concave filter is also studied. By applying a modified Butterworth concave filter to the practical system, the maximum stable state output error remains under ±10 nm in the closed loop positioning system.
Flexible manufacturing puts high demands on industrial automation in terms of affordable and competitive solutions and is of key importance for short-lot production typically found in small and medium sized enterprise...
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ISBN:
(纸本)9783902661432
Flexible manufacturing puts high demands on industrial automation in terms of affordable and competitive solutions and is of key importance for short-lot production typically found in small and medium sized enterprises, situations where today manual labour is extensively used despite e.g., environmental issues and harsh working conditions. Key factors in the successful introduction of new robot automation concepts are that they provide both the desired performance and quality (technical capability), but also that they enable fast deployment and extend available task repertoire. The Gantry-Tau manipulator is a new robot concept which in contrast to other high-performance parallel kinematic manipulators (PKM), has a large, open working range. Its high stiffness makes it ideal for a wide range of tasks such as grinding, deburring, and cutting. An additional aspect of such a PKM is the modularity, which in this work has been studied in terms of possibilities for assembly and mechanical reconfiguration at the end-user site, integration of such a kinematically different robot with a standard industrial controller, and new needs for methods/tools to support simple (re)configuration. A range of software tools and methods were found to be useful and necessary for efficient engineering and integration of the concept in typical SME manufacturing scenarios. For experimental evaluation, two full-scale prototype robots were designed and built, the kinematic software was developed and integrated into a couple of different robot control systems, robot CAD software was adapted to the configuration needs, and both simulations and physical experiments were carried out. Our findings make us believe that enhanced software tools should be integrated on a higher symbolic (or meta-) level to better support transformation of data and code generation, but also that the Gantry-Tau type of robot (with adequate software support) will bring a new dimension of flexibility into SME manufacturing.
In this paper, the problem of robust decentralized control for a class of uncertain interconnected systems is investigated. The proposed continuous state feedback controllers ensure the global exponential stability of...
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In this paper, the problem of robust decentralized control for a class of uncertain interconnected systems is investigated. The proposed continuous state feedback controllers ensure the global exponential stability of the closed loop system. Finally, an example is presented to illustrate the results given in this paper and simulation shows that the method is very effective.
Industrial process control IP networks support communications between process control applications and devices. Communication faults in any stage of these control networks can cause delays or even shutdown of the enti...
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ISBN:
(纸本)9781424434862
Industrial process control IP networks support communications between process control applications and devices. Communication faults in any stage of these control networks can cause delays or even shutdown of the entire manufacturing process. The current process of detecting and diagnosing communication faults is mostly manual, cumbersome, and inefficient. Detecting early symptoms of potential problems is very important but automated solutions do not yet exist. Our research goal is to automate the process of detecting and diagnosing the communication faults as well as to prevent problems by detecting early symptoms of potential problems. To achieve our goal, we have first investigated real-world fault cases and summarized control network failures. We have also defined network metrics and their alarm conditions to detect early symptoms for communication failures between process control servers and devices. In particular, we leverage data mining techniques to train the system to learn the rules of network faults in control networks and our testing results show that these rules are very effective. In our earlier work, we presented a design of a process control network monitoring and fault diagnosis system. In this paper, we focus on how the fault detection part of this system can be improved using data mining techniques.
The problem of correctness and timing of reactions of an agent in interaction with a physical environment is addressed. To this end, a method based on composition of separate models of the software and the environment...
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Based on analyzing the feedback principle of nature immune system, the immune process is imitated from the viewpoint of molecular dynamics and the nonlinear model of immune system is founded. Furthermore, a novel cont...
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ISBN:
(纸本)0780375084
Based on analyzing the feedback principle of nature immune system, the immune process is imitated from the viewpoint of molecular dynamics and the nonlinear model of immune system is founded. Furthermore, a novel control algorithm based on immune feedback principle (IFCA) is designed. According to the result of simulation, the algorithm can respond rapidly and stabilize quickly, which is just like the nature immune system. And the performance of immune feedback controller is superior to that of ordinary controller.
Flexible-antenna systems, such as fluid antennas and movable antennas, have been recognized as key enabling technologies for sixth-generation (6G) wireless networks, as they can intelligently reconfigure the effective...
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This paper presents a comparative study of two well known regulation algorithms designed for a horizontal variable wind speed turbine functioning in the above rated wind speed regime. Typical control in this working r...
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