A new prototype of self-validating pressure sensor is described. The elastic body of the transducer is based on circular-flat diaphragm structure. Eight groups of strain gauges are distributed on the diaphragm. One gr...
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A new prototype of self-validating pressure sensor is described. The elastic body of the transducer is based on circular-flat diaphragm structure. Eight groups of strain gauges are distributed on the diaphragm. One group of metal strain gauge with little temperature drift is used as primary pressure sensor, the other seven groups of semiconductor strain gauges with high sensitivity are used as calibration references. Consistency checking is used to detect sensor fault. The outputs of self-validating pressure sensor including validated measurement value (VMV) of pressure, validated uncertainty (VU) of pressure and measurement value status (MVS) of pressure are calculated using the high consistency data. A new fault diagnosis method based on wavelet packet decomposition feature extraction and support vector machine multi-classification is used to identify six sensor fault status. A double DSPs system is implemented to acquire the output signal and complete self-validating methods. The experiment results show that the designed pressure sensor prototype implements the self-validating function. It can detect fault in real-time and identify sensor status with high accuracy.
In this paper are presented some new concepts of control applied in Power systems. Are given the architectures and methodologies based on the agents theory. The complexity of Power systems is included into a new parad...
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ISBN:
(纸本)9783902661388
In this paper are presented some new concepts of control applied in Power systems. Are given the architectures and methodologies based on the agents theory. The complexity of Power systems is included into a new paradigm - Complex Adaptive systems - and the modelling and control of Power systems based on intelligent agents are considered. Some concepts on hierarchical and heterarchical architectures which include different intelligent techniques are also presented in this paper.
In this paper, we present some results obtained from the application of a class of sliding mode observers to the model-based fault diagnosis problem in non-linear dynamic systems. A Takagi-Sugeno fuzzy model is used t...
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ISBN:
(纸本)9781424432455
In this paper, we present some results obtained from the application of a class of sliding mode observers to the model-based fault diagnosis problem in non-linear dynamic systems. A Takagi-Sugeno fuzzy model is used to describe the system and then sliding mode observers are designed to estimate the system state vector, from this the diagnostic signal-residual, is generated by the comparison of measured and estimated output. The linear integer programming technique is proposed to solve the fault isolation problem based in signal-residual. The proposed technique allows determinating the faulted component corresponding to the active signal-residual. This paper shows an application of the fault diagnosis technique which was tested satisfactorily in a two-tank hydraulic system.
In this paper are presented some new concepts of control applied in Power systems. Are given the architectures and methodologies based on the agents theory. The complexity of Power systems is included into a new parad...
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In this paper are presented some new concepts of control applied in Power systems. Are given the architectures and methodologies based on the agents theory. The complexity of Power systems is included into a new paradigm – Complex Adaptive systems – and the modelling and control of Power systems based on intelligent agents are considered. Some concepts on hierarchical and heterarchical architectures which include different intelligent techniques are also presented in this paper.
In this paper we introduce a discrete event system model of immune systems of mammalians using Markov Decision Processes based on Petri Nets Models. Based on immunological principles we propose an approach in order to...
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In this paper we introduce a discrete event system model of immune systems of mammalians using Markov Decision Processes based on Petri Nets Models. Based on immunological principles we propose an approach in order to study the mechanisms that govern the immune system's functionality. A two-module algorithm is developed, which launch a specific action against an anomalous situation. The Petri nets tools are assumed in this approach. Also, Markov Decision Processes (MDPs) with a truncated state space to the problem with infinite state space considered. We also propose a new algorithm to build a large model (e.g., a macro-model) of immune mechanisms of mammalians. We show that an optimal stationary policy exists and we apply the results of [1] to a dynamic scheduling problem of the immunological response to external stimuli.
The paper treats a simple SISO control tool that uses classical nonlinear controllers. Description of basic functions and programs and several examples of their use comprise the main part of the paper. The tool forms ...
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The simple and effective method for determining the probability stability of discrete-time systems consisting of two and more random parameters is presented in this paper. systems with random parameters are often enco...
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The simple and effective method for determining the probability stability of discrete-time systems consisting of two and more random parameters is presented in this paper. systems with random parameters are often encountered in industry of plastic materials, rubber industry, chemical industry, etc., therefore this method can be applied in practice. The presented method provides the choice of such values of parameters for which the system has the largest probability stability. The selection of the adequate parameters values enables the system stability and the correctness of system work.
In the world of control the enormous difficulties encountered in reaching satisfactory results with the design and implementation of controllers for Multi-Input/Multi-Output (MIMO) processes are well known, in particu...
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Background: According to the fundamental importance of the tracking theory on technical systems (ship servomotor), the main goal of this paper is a further development of the theory and the application of the tracking...
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The paper treats a simple SISO control tool that uses classical nonlinear controllers. Description of basic functions and programs and several examples of their use comprise the main part of the paper. The tool forms ...
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The paper treats a simple SISO control tool that uses classical nonlinear controllers. Description of basic functions and programs and several examples of their use comprise the main part of the paper. The tool forms part of bigger system programmed in C++ and C# for industrial use. The MATLAB ® models of the control software and controller adjustment algorithms are freely available on the Czech Technical University web pages.
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