The velocity field and pressure field induced by Dielectric-Barrier-Discharge (DBD) plasma actuation (DBD) are accurately measured based on PIV and transient differential pressure sensors. A micro lens is mounted on P...
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ISBN:
(数字)9781624102561
ISBN:
(纸本)9781624102561
The velocity field and pressure field induced by Dielectric-Barrier-Discharge (DBD) plasma actuation (DBD) are accurately measured based on PIV and transient differential pressure sensors. A micro lens is mounted on PIV system to capture the critical region of plasma-induced flow. The transient differential pressure sensors with 0.1 Pa resolutions, respond effectively to the inconspicuous change of pressure gradient in the low speed flow. The neural network model is established, revealing the complex nonlinear mapping of external and internal information, while trained by large numbers of experimental samples. The electrical parameters of the plasma generator, the shape parameters of plasma actuator and coordinate parameters are input into the neural network as external information. On the other hand, the velocity field and pressure field serve as internal information to be output. The obtained velocity field and pressure field through the neural network model are regarded as the source terms and are substituted into momentum equilibrium equations and Navier-Stokes equations to calculate the body force field, thus building the mapping relationship between extrinsic plasma actuator parameters and the body force.
The attitude coordinated tracking problem of multiple spacecraft with control input saturation is studied in this paper. We first construct a decentralized attitude coordinated tracking algorithm with input saturation...
The attitude coordinated tracking problem of multiple spacecraft with control input saturation is studied in this paper. We first construct a decentralized attitude coordinated tracking algorithm with input saturation, such that spacecraft can track a time-varying desired trajectory and align their attitudes. We then introduce a novel auxiliary dynamical systems to present an attitude coordinated tracking algorithm with input saturation and without angular velocity measurements. Throughout this paper, the information flow between spacecraft is assumed to be undirected. Finally, design examples are given to show the effectiveness of the proposed attitude coordinated tracking algorithms.
design is the core of innovation activity, and it aims to establish better and comprehensive qualities of products. It is also a process to explore and enhance the human experience. During decades of exploration and p...
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The paper proposes a complete energy harvesting solution integrated with a low-loss AC/DC rectifier and a high efficiency low dropout regulator (LDO) optimized for micro piezoelectric energy harvester. The AC/DC modul...
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ISBN:
(纸本)9781479923366
The paper proposes a complete energy harvesting solution integrated with a low-loss AC/DC rectifier and a high efficiency low dropout regulator (LDO) optimized for micro piezoelectric energy harvester. The AC/DC module converts AC into DC and then supplies power for the following LDO circuit module, through which the whole chip can obtain a stable 3.3V output voltage. A dynamic compensation mechanism is presented to improve the loop stability of LDO, which is easier to achieve high phase margin than traditional compensation strategy. The simulation results of LDO indicate that the typical dropout is 0.4mV with 1mA load current and 61mV with 150mA load current respectively, and the typical voltage line regulation error is 0.025%/V. In addition, the typical load regulation error was 0.00018%. The results demonstrate that the proposed chip meets the requirements of power supply for wireless sensor node (WSN).
There are plentiful and diverse applications of graph data management and mining in the real-world scientific research and business activities. As one of the most basic operations, uniform path pattern query processin...
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ISBN:
(纸本)9781479967209
There are plentiful and diverse applications of graph data management and mining in the real-world scientific research and business activities. As one of the most basic operations, uniform path pattern query processing on graph data faces three big challenges. In this paper, we deal with these challenges by the following points. Firstly, a new query language on graph, called G-Path, is presented, which focuses on complex path pattern query processing on a very large graph. Also, the design of a system called HDGL is proposed, which is based on a BSP-like model as well as MapReduce model, and can effectively handle distributed graph data operations and queries. Secondly, the implementation of HDGL on the de facto cloud platform - Hadoop - is brought forward. Based on the concept of distributed state machine, the query processing of a G-Path statement in HDGL is detailed. In addition, as the query optimization of G-Path queries, several tricks are utilized to improve dramatically the performance of query execution. Finally, extensive experiments on several graph data sets are conducted to show the usability of G-Path query language and the effectiveness of HDGL.
As the flight scheduling has always been a keytechnology which reduces flight delays and costs. Rational and efficient flight sorting method not only can effectively improve the utilization of the airport, reduce fli...
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As the flight scheduling has always been a keytechnology which reduces flight delays and costs. Rational and efficient flight sorting method not only can effectively improve the utilization of the airport, reduce flight delay, but also ensure flight safety and reduce the incidence of sudden accidents. Firstly, we studied the application of ant colony algorithm in flight sorting, and proposed a new flight sorting method which is combined with ant colony algorithm and genetic algorithm depending on the mutation characteristic of genetic algorithm; Secondly, the minimization objective model that the flight total delay was minimum was established based on the sorting method; Finally, the simulation experiment was done based on the model. The simulation results show that the proposed method can effectively reduce flight delay. Comparing with ant colony algorithm, the global optimal flight sequence can be found in a shorter time.
The fusion of artificial fish algorithm and genetic algorithm is proposed to optimize the flight scheduling of two-runway in large airport in which the problems are difficult, inefficient and serious flight delays. Fi...
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The fusion of artificial fish algorithm and genetic algorithm is proposed to optimize the flight scheduling of two-runway in large airport in which the problems are difficult, inefficient and serious flight delays. First, in this paper, the shortcomings of artificial fish algorithm and genetic algorithm are analyzed, and combing the advantages of two algorithms, optimization algorithm is proposed based on the fusion of artificial fish swarm algorithm and genetic algorithm; Secondly, the objective function model of the total of time-consuming which is minimum about dual runway is established; Finally, the simulation results show that the fusion algorithm in operating efficiency, the reduction of flight delays and other aspects is better than first-come, first-served (FCFS), artificial fish algorithm and genetic algorithm, and can get better convergence results.
Aimed to problems that exist in the regeneration energy feedback technology of the mine hoist, a novel dual-PWM variable frequency control system was proposed for three-phase AC motor in this paper. Compared to the un...
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For traditional Direct Power Control (DPC), the switching frequency is not fixed and the characteristics in steady state are not well. In order to solve these problems, a proposed DPC strategy based on virtual flux is...
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Cooperative guidance for multiple flight vehicles against single moving target is studied in this paper. Two finite-time consensus protocols are developed for multi-agent system with input saturation which underlay th...
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ISBN:
(纸本)9781479925391
Cooperative guidance for multiple flight vehicles against single moving target is studied in this paper. Two finite-time consensus protocols are developed for multi-agent system with input saturation which underlay the design of cooperative guidance law. The cooperative guidance approaches are investigated to solve the many-to-one interception problem, where two novel guidance laws considering the actuator saturation are proposed to guarantee multiple flight vehicles can intercept the target simultaneously. Simulations for a three-to-one scenario are presented to demonstrate the effectiveness of the proposed design approaches.
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