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.
This paper describes the organization and results of several MOOCs delivered about technical topics (i.e., digital electronics, VHDL design on FPGAs, open education and OERs repositories and the use of STEAM technolog...
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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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In addition to its use in building and agriculture, global solar irradiance is one of the most critical aspects in designing and considering any solar station's volume. Because the Iraqi metrological organization ...
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ISBN:
(数字)9798350379648
ISBN:
(纸本)9798350379655
In addition to its use in building and agriculture, global solar irradiance is one of the most critical aspects in designing and considering any solar station's volume. Because the Iraqi metrological organization and seismology lack exact information regarding irradiance, this project aims to use historical global data, develop numerical analysis using artificial neural networks, and forecast hourly irradiance. The test is run over Basra to determine references to their nearest places. The learning technique in this study is a forward neural network (FNN) and time series neural network. Their comparison dep.nds on seven input variables: temperature, wind speed, wind direction, sunshine duration, and date. One of the most essential integrated and impactful events for managing the system of new and renewable energy sources in the power grid is accurate solar energy forecasting. The study offers a valuable method for forecasting solar energy generation using neural networks. It is difficult to apply neural networks to anticipate PV power generation because of the unpredictability of variations in the weather; unlike traditional mathematical models, which struggle to handle complicated nonlinear interactions and provide poor predictions, neural network approaches achieve superior prediction performance. The suggested forecasting model based on neural networks provides a practical means of raising the accuracy of PV generation estimation
This paper presents a generalized direct power control (DPC) scheme for grid connected multilevel converters. The proposed method extends the original DPC operating principle by considering only for selection the clos...
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ISBN:
(纸本)9781424456956
This paper presents a generalized direct power control (DPC) scheme for grid connected multilevel converters. The proposed method extends the original DPC operating principle by considering only for selection the closest vectors to the present switching state. This approach requires the power derivatives for feedback, which can present numerical implementation problems in real time. Therefore a grid virtual flux based observer is proposed to overcome this issue. The proposed method is applicable to any multilevel converter topology of any number of levels. In this paper simulations results are presented for a 9 level cascaded H-bridge converter. The proposed solution enables DPC for multilevel converters used in medium voltage applications while improving overall power quality and efficiency of the system.
Energy communities are emerging entities which need their own Information and Communication System. Resilience is a key metric of such communities, and it has to be implemented for both energy supply versus public net...
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The demand on distribution network reconfiguration abilities is increasing. This paper proposes a Finite State Automaton model of a distribution network that deals with topologically safe reconfiguration. Autonomous o...
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The demand on distribution network reconfiguration abilities is increasing. This paper proposes a Finite State Automaton model of a distribution network that deals with topologically safe reconfiguration. Autonomous operation of distribution networks can be designed, analysed and implemented in day-to-day operation with the aid of these automata: through supervisory control. Two approaches to supervisor design are proposed. One for the normal operating mode and the other for the contingency mode. Simple and comprehensive examples illustrate the approaches.
Teleoperation solves several difficulties that current robots can not overcome. The intervention of a human operator in deciding the strategies required to perform some given tasks allows robots to carry out operation...
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Teleoperation solves several difficulties that current robots can not overcome. The intervention of a human operator in deciding the strategies required to perform some given tasks allows robots to carry out operations in dangerous environments or in areas inaccessible to humans. Despite such task becomes feasible, it is necessary to use methods that assist the operator in its manipulation. This paper describes a method for assisting teleoperation, which is based on the dynamic variation of the scale of the working space to improve the movement precision near the point of interest.
Safety or mission critical systems are those where failures should be avoided at all costs. engineering processes, techniques and tools are, however, not perfect, and lead to software and systems with flaws. This pape...
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Safety or mission critical systems are those where failures should be avoided at all costs. engineering processes, techniques and tools are, however, not perfect, and lead to software and systems with flaws. This paper presents an analysis of the impact of late found issues versus the fault types for critical aerospace systems. These issues are the indep.ndently detected faults that remain once the engineering processes that are required by European space standards have been applied and the engineering teams have performed their verification and validation activities. This study presents the analysis of the fault impact versus fault type distribution according to the detection phases and to the issues severity/type and presents recommendations to improve space systems engineering.
Conventional HAZOP is a collaborative and multidisciplinary activity to identify the hazards associated to operability of the chemical processes. Then the consequences and required safeguards of each potential deviati...
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Conventional HAZOP is a collaborative and multidisciplinary activity to identify the hazards associated to operability of the chemical processes. Then the consequences and required safeguards of each potential deviation or failure are assessed qualitatively one by one. It is performed with the assumption of "one failure at the time" for the process parameters. Furthermore, process complexities such as multiple failures, domino effects, time and amplitude dep.ndent deviations etc. are avoided to keep the HAZOP brainstorming sessions systematic and effective. Therefore, the quality and outcomes of HAZOP study are relatively subjective and dep.nd on the experience and competency of the HAZOP team. This simplified approach cannot fully cover the hazard identification and risk assessment of the complex processes such as polymerization. Furthermore, the incident investigations show that almost all major accidents have occurred due to multiple failures or domino effects. This paper aims at developing a practical methodology in the context of "Industry 4.0" and particularly illustrate how dynamic simulation liberates the HAZOP team from the simplification assumptions such as one failure at the time or neglecting the domino effects during the lifecycle of the complex processes. An industrial styrene bulk free radical polymerization process has been chosen as the case study to dep.ct the applicability of the proposed method. In continuation of this research, the dynamic simulation integrated with Artificial Intelligence (AI) algorithms and Multivariable Process Monitoring (MPM) together with virtual collaboration tools will be invoked towards a more practical and effective HAZOP 4.0 platform. Such a platform can be the foundation of the further Process Safety Management (PSM) elements such as "Operating manuals", "Training and Competency management", "Condition monitoring and predictive maintenance", "Management of Change", "Pre-Start-up Safety Review", etc.
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