Deals with the use of object oriented technologies in the modeling of industrial plants that have to be remotely monitored and/or controlled. The main goal is to propose a design methodology for obtaining the model of...
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ISBN:
(纸本)0780372417
Deals with the use of object oriented technologies in the modeling of industrial plants that have to be remotely monitored and/or controlled. The main goal is to propose a design methodology for obtaining the model of the so-called Virtual Plant, that a remote and certified user will use to access the real plant for performing command actions and/or monitoring. The type of applications and systems targeted must have autonomous behavior and be interconnected and accessible. Reliability, maintainability and flexibility are also required goals, as well as a high rate of reusability of the applications. The methodology has been applied to the remote process monitoring and control of manufacturing processes. The Virtual Plant Model is, in fact, the part of the plant that can be accessed by a certified remote client and thus it can be constituted by a set of sub-models, as many as different types of clients. The Virtual Plant resides inside the Application Server who is responsible of communicating with the cell controller and sends the image of the actual plant state (the Virtual Plant) as required by the remote client (monitoring) or sends the client commands to the cell controller.
Two novel algorithms for speech pitch estimation are presented. One is based on the Average Magnitude Difference Function (AMDF), the other is based on Autocorrelation Pitch Detect Algorithms (PDA). Accurate and stabl...
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ISBN:
(纸本)9628576623
Two novel algorithms for speech pitch estimation are presented. One is based on the Average Magnitude Difference Function (AMDF), the other is based on Autocorrelation Pitch Detect Algorithms (PDA). Accurate and stable pitch estimation can be obtained by using these fast algorithms. The simulation results prove the effectiveness of these algorithms.
A novel approach to fault diagnosis in nonlinear stochastic systems is proposed. It is based on the particle filtering (PF) algorithm, a Monte Carlo technique based state estimation method, and the multiple model (MM)...
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A novel approach to fault diagnosis in nonlinear stochastic systems is proposed. It is based on the particle filtering (PF) algorithm, a Monte Carlo technique based state estimation method, and the multiple model (MM) approach. The simulation results on a univariate model are provided and the fault detection and isolation performance are compared with that using the extended Kalman filter which demonstrate the effectiveness of the proposed approach.
The formation of a convoy of cars (platoon) by linking these electronically (soft platooning) or mechanically (hard platooning) are two of the most researched methods in highway transportation systems, particularly th...
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The formation of a convoy of cars (platoon) by linking these electronically (soft platooning) or mechanically (hard platooning) are two of the most researched methods in highway transportation systems, particularly the first one that is the base of the Automated Highway Systems. This paper focuses on the advantages and disadvantages of both systems and introduces the main technical problems of them. The need for new traffic rules is examined in the case of truck train travels on a multi-lane highway. The kingpin sliding technique is also proposed to face the off-tracking phenomenon of multi-articulated vehicles. Some conclusions from the comparison of the two systems are also given
The motion of a multi-body autonomous robot as well as of a train-like multi-articulated transportation vehicle is characterized by the deviation of the path of each intermediate vehicle from that of the leading one (...
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The motion of a multi-body autonomous robot as well as of a train-like multi-articulated transportation vehicle is characterized by the deviation of the path of each intermediate vehicle from that of the leading one (off-tracking). This paper proposes an intelligent controller for the elimination of the off-tracking phenomenon, in both robotic and transportation multi- articulated vehicles. By using a sliding kingpin technique that allows articulated semi-trailers to follow closely the tractor's path, and taking into consideration the heuristic knowledge that stems from the driving practice and the tests' experience, a fuzzy rule-based controller has been developed to determine the sliding distance and the sliding rate of the kingpin mechanism. Simulation results for various cases, without and with the sliding kingpin system showed that off-tracking elimination is achieved to a significant degree through the use of intelligent controller.
In general, characteristics of classical control theory and properties of real-time scheduling algorithms may cause unexpected control system responses in the implementation of real-time computer-controlled systems. R...
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The paper addresses the problem of design of a robust controller for a class of non linear uncertain systems to guarantee the prescribed decay rate of exponential stability. The polytope type bounded deterministic unc...
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The paper addresses the problem of design of a robust controller for a class of non linear uncertain systems to guarantee the prescribed decay rate of exponential stability. The polytope type bounded deterministic uncertainties are considered both in a studied system and its input part. The proposed approach does not employ matching conditions.
This paper shows how to integrate CDMA's pilot signals and GPS pseudoranges in order to improve the location accuracy, coverage and robustness to various errors in the position-determination. Since two radio posit...
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This paper shows how to integrate CDMA's pilot signals and GPS pseudoranges in order to improve the location accuracy, coverage and robustness to various errors in the position-determination. Since two radio positioning systems are complementary in urban canyons and open areas, the hybrid integration of them gives better performance, especially of wider coverage. Due to signal propagation, ionospheric error, multipath and NLOS(none-line-of-sight) errors cause the measured pseudoranges to contain too severe bias error to be ignored. Hence, this paper presents a 3-stage constrained optimization filter that takes the measurement bias into account. Comparison with simple ILS(iterated least square), extended Kalman filter shows that the presented filter reduces both bias error and linearization error effectively.
A new concept genetic algorithm has been implemented and tested for the use in the particle tracking velocimetry. The algorithm is applicable to relatively large numbers of particles with relatively high degrees of di...
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A new concept genetic algorithm has been implemented and tested for the use in the particle tracking velocimetry. The algorithm is applicable to relatively large numbers of particles with relatively high degrees of distribution density. This is mainly due to a new fitness function as well as unique genetic operations devised especially for the purpose of a particle pairing problem. The new fitness function is based on the relaxation of movement of a group of particles and is particularly suited for an increased density of particle images. The new genetic operations give rise to concentration of 'good' genes in a limited part of the gene strings and prevent them from being destroyed in the crossover and mutation processes. Another merit of the new algorithm is the genetic encoding scheme which can deal with all the possible concerns of the particle pairing problem, typical of which is the existence of unpaired particles.
The majority of current Virtual Prototyping (VP) systems are capable of providing high fidelity visual feedback only, leaving users in a more or less passive role. This paper discusses an upgrading of the visual feedb...
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The majority of current Virtual Prototyping (VP) systems are capable of providing high fidelity visual feedback only, leaving users in a more or less passive role. This paper discusses an upgrading of the visual feedback by haptic feedback. By allowing the user to interact with objects in a Virtual Environment (VE) with his/her hands and fingers such an advanced VP system permits them to play an active role. For the purposes of upgrading a wrist/finger kinesthetic display as well as a vibrotactile and temperature globe were developed. The combination of both devices leads to a novel haptic human system interface. This paper describes the interface hardware and the corresponding haptic rendering algorithms for generating a high fidelity haptic feedback from a VP environment. Moreover, experimental results are reported concerning the performance of the various haptic displays as well as the quality of the generated haptic sensations. An outlook to future multimodal VP techniques is given.
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