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.
In this paper, a novel method for controlling main irrigation canals with variable dynamic parameters is proposed. A non-integer order based gain-scheduling controller for canal systems is presented. This controller t...
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We investigate the conflict resolution problem in a self separation airspace. Using the recent advances in the fields of robotics and control, we use navigation functions to resolve conflicts arising in the Short Term...
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We investigate the conflict resolution problem in a self separation airspace. Using the recent advances in the fields of robotics and control, we use navigation functions to resolve conflicts arising in the Short Term, which guarantee conflict avoidance, while in Mid Term, a model predictive controller makes sure that the designed system respects the operational constraints of the situation and maximizes some performance for the system. Both algorithms operate in a decentralized scheme, following the autonomous aircraft concept investigated under the European project iFly. Priority issues are discussed and ways to take them into consideration in our setting are shown. The algorithm performance is demonstrated on simulations in planar configurations.
This paper presents a speed control of an induction motor. The design uses an feedforward Artificial Neural Network (ANN) to implement a rotor speed estimator, and a robust control strategy based on the sliding-mode. ...
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This paper presents a Web-based control laboratory of a non-linear and unstable system: the ball and beam plant. Different control strategies, apart from the traditional PID, as Robust, Fuzzy and PD-Reset control have...
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ISBN:
(纸本)9783902661562
This paper presents a Web-based control laboratory of a non-linear and unstable system: the ball and beam plant. Different control strategies, apart from the traditional PID, as Robust, Fuzzy and PD-Reset control have been taken to give students a wider vision of control approaches. The client-side of the virtual laboratory has been developed using EJS (Easy Java Simulations), an open-source tool that allows creating Java applications easily. Meanwhile, the application that locally interacts with the system is written in LabVIEW. Different experiences are presented showing the advantages of advanced control strategies over PD control.
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.
This paper describes the application of a Parallel Genetic Algorithm that solves the weekly timetable construction problem for elementary schools. Timetable construction is NPcomplete and highly constrained problem, a...
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This paper proposes an asymmetrical pulse width modulation (APWM) with frequency tracking control of full bridge series resonant inverter for induction heating application. In this method, APWM is used as power regula...
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ISBN:
(纸本)9789948427155
This paper proposes an asymmetrical pulse width modulation (APWM) with frequency tracking control of full bridge series resonant inverter for induction heating application. In this method, APWM is used as power regulation, and phased locked loop (PLL) is used to attain zero-voltage-switching (ZVS) over a wide load range. The complete closed loop control model is obtained using small signal analysis. The validity of the proposed control is verified by simulation results.
Nuclear fusion has the potential to produce unlimited, clean energy, which presents itself as a reliable energy supply but it also helps to stop the threat of climate change that faces the world nowadays. However, to ...
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ISBN:
(纸本)9783902661555
Nuclear fusion has the potential to produce unlimited, clean energy, which presents itself as a reliable energy supply but it also helps to stop the threat of climate change that faces the world nowadays. However, to sustain the pulse duration long enough to produce the necessary energy, new controls have to be developed, composing a new application area of controlengineering, with new and interesting challenges for the control community. In this sense, this paper deals with the modeling of tokamak nuclear fusion reactors. In order to control the creation of unstable modes in fusion processes, it is necessary to derive numerical models suitable for control strategies. The model presented in this paper addresses flux and energy conservation issues, discussing the mechanisms behind the creation of uncontrollable modes. The dynamics of the system is given by means of the energy functions which are solved for the currents in the structure, plasma current and plasma position. Thus, the equations for the state variables are derived based on the Hamiltonian equation of motion. In order to solve this system numerically, this model is linearized around an operation point by taking a Newton-Raphson step. Besides, the system output is completed by considering the equations for the flux and the poloidal field. Finally, the resulting low-order linear model is modified so as to obtain the corresponding state-space model which is verified by means of numerical experiments.
This paper is concerned with system level energy management in wireless sensor networks. The network is required to conduct certain tasks which require information from individual sensors to be sent to a base station....
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