The present paper deals with observer design for discrete-time nonlinear descriptor systems. Through Finsler's Lemma, we cut the link between the observer gains and the Lyapunov function, which relaxes existing co...
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The hot rolling process uses, as raw material, round bars casted using continuous casting at the steel making plant. From here a limited number of casted billets, in terms of length, can be delivered. The supply order...
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ISBN:
(纸本)9781509027217
The hot rolling process uses, as raw material, round bars casted using continuous casting at the steel making plant. From here a limited number of casted billets, in terms of length, can be delivered. The supply order for the rolling process is unpredictable and imprecise, thus in this scenario the current paper intends to offer a solution to the industrial partner as to optimize the casting lengths of billets, considering the restrictions of the casting process, and to achieve minimum production cost. An order is converted into a number of billets that should be casted at an ideal length. Two different methods are proposed, an analytical one, designed by the authors, and the linear programming method, in order to generate an optimal solution to the stated problem based on minimizing a cost function. The analytical method's result is the optimal number of steel blocks that need to be casted at a single length, from the limited set. The linear programming method's result is the optimal number of blocks that need to be casted from each available length. The results obtained from both methods are compared based on a set of casting orders via successive simulations.
The aim of the paper is to present details regarding interfacing and testing mechatronic drive systems based on different energy sources, using dSpace hardware. The considered platforms are represented by fluidic, sha...
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The aim of the paper is to present details regarding interfacing and testing mechatronic drive systems based on different energy sources, using dSpace hardware. The considered platforms are represented by fluidic, shape memory alloy and electroactive polymer actuators based systems. There are studied and pointed out details regarding information flow within the proposed drive systems. The last part of the paper focuses on testing of such mechatronic drive systems, where the shape memory alloy and electroactive polymer based drive systems are considered. The presented approaches are useful components for proper integral education based on mechatronic platforms.
Home automation is gaining popularity nowadays. A smart home automation system is based on ensuring security and making user life easier. It contains a large number of sensors which can control or monitor objects dist...
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Home automation is gaining popularity nowadays. A smart home automation system is based on ensuring security and making user life easier. It contains a large number of sensors which can control or monitor objects distributed in three-dimensional space. The sensors can be specialized in measuring temperature, humidity, pressure, light, noise, dust air, and so on. In this paper, a solution to transform a normal house in a smart house while reducing the energy consumption is proposed. This can be realized with the help of wireless sensor networks and of the LabVIEW™ graphical programming environment, which use the NI LabVIEW™ Statechart Module for collecting data from sensors.
Rapid changes on the goods market take place today. These changes require an increased flexibility of the production systems in order to quickly adapt the manufacturing system to a new model of product. However, incre...
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Rapid changes on the goods market take place today. These changes require an increased flexibility of the production systems in order to quickly adapt the manufacturing system to a new model of product. However, increasing the flexibility usually also increases the complexity of the system, and therefore the costs per part produced. The challenge is to develop control strategies capable to increase the productivity of a production system, while maintaining the associated costs as low as possible. We propose a control strategy capable of responding to this challenge. Using multitasking programming and optimization of the materials' travel between different points of the flexible manufacturing system, we implement a controller capable to reduce the lead time by up to 26.3%, which leads to an increase of the system's productivity by up to 34%. The control strategy proposed will increase the productivity; moreover no interventions on the hardware systems are required. The strategy also reduces the manufacturing cost per part since the productivity increases.
Planar structures are often used recently due to their many advantages. Transformers, power inductors and EMI filters are only a few components that are constructed using this technique. In order to increase their eff...
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Planar structures are often used recently due to their many advantages. Transformers, power inductors and EMI filters are only a few components that are constructed using this technique. In order to increase their efficiency, parasitic capacitance (EPC) and equivalent series inductance (ESL) must be decreased and HF losses must be appropriate to their utilization. This paper represents a study which aims at finding how the shifting of the windings influences HF losses and also determining the optimum geometry for increasing the losses in planar structures.
Coordinate metrology is a subject that has evolved driven by two important vectors: hardware and software development. At present, most 3D measuring software offer features for offline programming of the Coordinate Me...
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In this paper, the optimal operation of a photovoltaic unit, a geothermal generator, a biomass generator and a storage system is determined by a mixed-integer linear programming algorithm. Modeling, control and optima...
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In this paper, the optimal operation of a photovoltaic unit, a geothermal generator, a biomass generator and a storage system is determined by a mixed-integer linear programming algorithm. Modeling, control and optimal operation of intelligent smart islanded microgrids with renewable energy resources (RES) have gotten high attention in the past years. Optimal operation scheduling of the generators and the batteries is a crucial issue in these systems. Starting and stopping the generation units at the right time can maximize the system's performance, minimize the operation cost and ensure a more reliable power balance for the microgrid. A PC software was developed to determine these start- and stop-moments for each generator and the charge of batteries. This Supervisory Control and Data Acquisition (SCADA) system can ensure the optimal scheduling of the generation units and guarantees correct functioning of the equipment, focusing on the operation cost, the generation and control measurements. The results are presented in a GUI (Graphical User Interface).
The paper presents an evolutionary method based on genetic programming (GP) for synthesizing of a monitor alarm system for the railway control traffic unit. Automatic supervision of railway traffic control is a very i...
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The paper presents an evolutionary method based on genetic programming (GP) for synthesizing of a monitor alarm system for the railway control traffic unit. Automatic supervision of railway traffic control is a very important and complex task. A wrong control signal can lead to very serious incidents or accidents. A well-designed monitoring system can prevent these accidents by a simple alarm which signals the appearance of a wrong control signal. The railway network or the plant is modeled by Delay Time Petri Nets (DTPN) and the railway traffic control unit by Time Petri Nets (TPN). The alarm monitor contains transitions joined to the plant and control unit in order to achieve the information on the positions of trains, respectively the control signals of the control unit, and generates an alarm whenever the control signal can cause to an incident or accident. The TPN model of the monitor system is generated by means of the genetic programming method using a Lisp representation of the solution.
Instrumentation amplifiers (IA) used in wearable biomedical monitoring systems have to satisfy several performance requirements, such as low-voltage supply and low-power consumption, enabling increased portability. In...
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Instrumentation amplifiers (IA) used in wearable biomedical monitoring systems have to satisfy several performance requirements, such as low-voltage supply and low-power consumption, enabling increased portability. In the same time, a very important feature is wide range parameter programmability. This paper proposes a solution to implement electronic gain programming into an IA. The proposed solution is developed around the current balancing concept. An electronically tunable transconductance amplifier is used for adjusting the IA voltage gain as a function of the transconductor bias currents. Additionally, the proposed IA outputs a differential signal, useful for latter differential analog signal processing. Simulation results validate the proposed IA.
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