This paper deals with comparative study of two structures of two liquid level control, that are PD fuzzy control and PD control. The classical control theory which relies on the mathematical model of the underlining s...
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This paper deals with comparative study of two structures of two liquid level control, that are PD fuzzy control and PD control. The classical control theory which relies on the mathematical model of the underlining system has been successfully applied to the control of a large variety of simple plant, therefore the PD fuzzy control that has two input variables and one output variable based on Mamdani inference system using 49 full rules base was introduced to compare it with the conventional one. The main idea from using PD fuzzy control is to build a model of an expert operator who is capable of controlling the plant without thinking in terms of mathematical model. A comparison well detailed in the application of these two control strategies on liquid level problem is presented [4].
The American Institute of Industrial Engineering formulated in 1955 the following paradigm for Manufacturing Systems: conceptual and detailed design, as well as socio- technologic- economic systems including heterogen...
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The American Institute of Industrial Engineering formulated in 1955 the following paradigm for Manufacturing Systems: conceptual and detailed design, as well as socio- technologic- economic systems including heterogeneous resources (human, financial, technologies, capital, energy resources). During the last five decades many paradigm shifts have been identified. The paper is focused on the current achievements sustaining the time of convergence for different recent paradigm shifts. The authors do believe that Intelligent Autonomous Manufacturing Systems should be an appropriate purpose within global digital eve.
The application of power quality parameters measurement algorithms requires utilization of computational methods which transform the signal from the time- to the frequency-domain. Currently, the most frequently applie...
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The application of power quality parameters measurement algorithms requires utilization of computational methods which transform the signal from the time- to the frequency-domain. Currently, the most frequently applied method is the fast Fourier transformation (FFT). Because of the amendment of the proper power quality standards, it is also necessary to consider of implementation discrete Fourier transformation (DFT) algorithms. Considering the number of computations, DFT is more complicated than FFT. This paper presents basic analog-to-digital conversion parameters, which are defined in the norms, the time duration analysis of DFT algorithms, considering described assumptions and comparing them to FFT. Codes created in C and assembler languages, as well as the Matlab/Simulink environment, were taken into account. The software including the aforementioned codes was implemented in a low-cost power quality measurement system based on the TMS320c6713 floating point DSP processor from Texas Instruments. In the software, a real time DSP/BIOS operation system was used. Multi thread programming in power quality measurement systems was presented, and an analysis of computational efficiencies of the systems based on the TMS320c6 713 DSP processors was performed.
The rapid changes, that are induced continuously by the ICT, are going to transform gradually the Information Society into the Knowledge Based Society. It is the time of paradigms convergence like Concurrent Enterpris...
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The rapid changes, that are induced continuously by the ICT, are going to transform gradually the Information Society into the Knowledge Based Society. It is the time of paradigms convergence like Concurrent Enterprising Collaborative Network Organizations, Extended Enterprise, Life Long Learning & Learning Organization, Enterprise Interoperability & Networking, etc. The Concurrent Engineering has been launched in the 80s as a new systematic methodology to design the New Product & Support Services & Systems, concurrently. But the CE is not yet a science. Can we, the Professional Virtual Community (PVC) transform it into a Collaborative multi domain science? The paper is aiming to provide the answer to one of the many questions facing the scientific community based on the results of a Romanian National Research pilot project, called “REMEDIUM”. The project is focused on developing a Complex Adaptive Metasystem (System of Systems) to investigate the pollutants effect on health.
In our paper we are proposing a complex model of the student (learner) in a virtual educational environment, supported by a multi-agent system. The whole system is centered on the student and it mainly takes into acco...
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In our paper we are proposing a complex model of the student (learner) in a virtual educational environment, supported by a multi-agent system. The whole system is centered on the student and it mainly takes into account Vygotsky's socio-cultural theory that states that social interaction plays a fundamental role in the development of cognition. The model is part of a larger project - DANTE - Socio-Cultural Models implemented through multi-agent architecture for e-learning - that has as main objective the development of a student centred framework for the virtual educational universe that facilitates collaborative learning. The virtual educational world is inhabited by agents: human agents and artificial agents that interact. Agents can be mediating agents, semiotic agents or social agents;they can be intelligent software entities or simple ones, like interface agents.
The paper presents the results referring to the dc link voltage control of an induction generator/PWM converter system. This system can be used for the renewable energy sources in isolated areas. The voltage control i...
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The paper presents the results referring to the dc link voltage control of an induction generator/PWM converter system. This system can be used for the renewable energy sources in isolated areas. The voltage control is carried out with an adequate flux control based on an indirect rotor field oriented control.
The paper provides comparison of three different approaches to on-line tuning of adaptive notch filters (ANF) - the algorithms used for extraction/elimination of complex sinusoidal signals (cisoids) buried in noise. T...
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The paper provides comparison of three different approaches to on-line tuning of adaptive notch filters (ANF) - the algorithms used for extraction/elimination of complex sinusoidal signals (cisoids) buried in noise. Tuning is needed to adjust adaptation gains, which control tracking performance of ANF algorithms, to the unknown and/or time time-varying rate of signal nonstationarity. The first of the compared approaches incorporates sequential optimization of adaptation gains. The second solution is based on the concept of parallel estimation. It is shown that the best results are achieved when both approaches are combined in a judicious way. Such joint sequential/parallel optimization preserves advantages of both treatments: adaptiveness (sequential approach) and robustness to abrupt changes (parallel approach).
Generalized adaptive notch filters are used for identification/ tracking of quasi-periodically varying dynamic systems and can be considered an extension, to the system case, of classical adaptive notch filters. Belon...
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Generalized adaptive notch filters are used for identification/ tracking of quasi-periodically varying dynamic systems and can be considered an extension, to the system case, of classical adaptive notch filters. Belonging to the class of causal adaptive filters, the generalized adaptive notch filtering algorithms yield biased frequency estimates. We show that this bias can be removed, or at least substantially reduced. The only price paid for the resulting improvement of the filter's tracking performance is in terms of a decision delay, which must be incorporated in the adaptive loop. Since decision delay is acceptable in many practical applications, the proposed bias/delay trade-off is an attractive alternative to the classical bias/variance compromise.
This paper presents combined approach to testing of analog electronic circuits by means of evolutionary methods (genetic algorithm), information theory and wavelet transform. Finding optimal shape of an aperiodic exci...
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ISBN:
(纸本)8392117263
This paper presents combined approach to testing of analog electronic circuits by means of evolutionary methods (genetic algorithm), information theory and wavelet transform. Finding optimal shape of an aperiodic excitation signal, which maximises probability of fault detection and location, is the task.
Knock in spark ignition (SI) engines is an undesired spontaneous auto-ignition of the unburned gas mixture, causing high combustion pressure pulses associated with vibration of the engine block. Knocking combustion li...
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ISBN:
(纸本)8392263219
Knock in spark ignition (SI) engines is an undesired spontaneous auto-ignition of the unburned gas mixture, causing high combustion pressure pulses associated with vibration of the engine block. Knocking combustion limits performance, durability and produce more pollutants. In the paper the author proposes a fast knock detection method based on wavelet transform.
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