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Active fault-tolerant control of dissimilar redundant actuation system based on performance degradation reference models

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JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS 2017年第2期354卷 1087-1108页

作者： Shi, Cun Wang, Shaoping Wang, Xingjian Wang, Jun Tomovic, Mileta M. Beihang Univ Sch Automat Sci & Elect Engn Beijing 100191 Peoples R China Old Dominion Univ Coll Engn & Technol Norfolk VA 23529 USA

Dissimilar redundant actuation system (DRAS) composed of one hydraulic actuator (HA) and one electrohydrostatic actuator (EHA) represents industry trend in actuation system towards more electric aircraft (MEA). The paper investigates performance degradation of DRAS under the system malfunctions and addresses the problem of active switching of DRAS from HA to EHA to ensure the reliable actuation and efficient control. A novel active fault-tolerant controller (AFTC) based on the performance degradation reference models (PDRM) is presented. The main performance degradation rules of DRAS are determined based on the effect of fault degree on the system root locus and the proposed PDRM are then constructed as a series of second-order functions. Finally, an intelligent matching algorithm (MA) is developed based on the dominant closed-loop poles, and a set of adaptive fuzzy controllers (AFC) are designed based on the proposed PDRM and the intelligent MA to achieve the performance degraded fault-tolerant capability. Extensive simulation results are presented to indicate the effectiveness of the proposed AFTC control scheme. (C) 2016 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

关键词： FAULT tolerance (Engineering) HYDRAULIC engineering HYDROSTATICS HYBRID electric airplanes ACTUATOR design & construction computer algorithms DESIGN & construction

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FRANK: A Fast Node Ranking Approach in Large-Scale Networks

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IEEE NETWORK 2017年第1期31卷 36-43页

作者： Zhang, Yu Gu, Lin Liao, Xiaofei Jin, Hai Zeng, Deze Zhou, Bing Bing Huazhong Univ Sci & Technol Comp Sci & Technol Wuhan Hubei Peoples R China Huazhong Univ Sci & Technol Wuhan Hubei Peoples R China China Univ Geosci Sch Comp Sci Wuhan Peoples R China Univ Sydney Sch Informat Technol Sydney NSW 2006 Australia

To support the ever-increasing data traffic demands, the Internet has been experiencing a rapid growth in recent decades. Effective and efficient monitoring is highly needed in order to properly manage such complex infrastructure. It is of theoretical and practical significance to derive network device importance (i.e., node rank) for resource utilization optimization, user experience improvement, and security enhancement. Recent development in the Internet infrastructure has introduced prosperous in-network computation resources across the network. To exploit such distributed resources, in this article, we propose a core-graph-based framework, called FRank, for fast node ranking algorithms, which accelerates convergence and reduces communication cost by converting most inter-partition state change propagations into intra-partition ones. We have implemented FRank in a cluster to validate its correctness and efficiency. The experiment results demonstrate that at the least FRank reduces the execution time of existing cutting-edge methods by 30.2 percent with 43.5 percent less communication cost.

关键词： computer networks Resource allocation computer security computer algorithms Data Traffic Management System (computer system) Wireless sensor nodes

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Fast algorithm for image denoising with different boundary conditions

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JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS 2017年第11期354卷 4595-4614页

作者： Zhang, Xiaole Shi, Yuying Pang, Zhi-Feng Zhu, Yonggui North China Elect Power Univ Dept Math & Phys Beijing 102206 Peoples R China Henan Univ Sch Math & Stat Kaifeng 475004 Henan Peoples R China Commun Univ China Sch Sci Beijing 100024 Peoples R China

In recent works several authors have considered the L-1 fidelity term, the L-2 fidelity term and the combined L-1 and L-2 fidelity term for denoising models, and they used the fast Fourier transform (FFT) algorithm which can only use periodic boundary conditions (BCs). In this paper, we combine the augmented Lagrangian method (ALM) and the symmetric Red Black Gauss Seidel (SRBGS) method to propose three algorithms that are suitable for different BCs. Experimental results show that the proposed algorithms are effective and the model with the combined L-1 and L-2 fidelity term demonstrates more advantages in efficiency and accuracy than other models with the L-1 fidelity term or the L-2 fidelity term. (C) 2017 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

关键词： computer algorithms IMAGE denoising BOUNDARY value problems FOURIER transforms LAGRANGIAN functions

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The Application of PSO-AFSA Method in Parameter Optimization for Underactuated Autonomous Underwater Vehicle Control

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MATHEMATICAL PROBLEMS IN ENGINEERING 2017年第1期2017卷 1-14页

作者： Jiang, Chunmeng Wan, Lei Sun, Yushan Li, Yueming Harbin Engn Univ Sci & Technol Underwater Vehicle Lab Harbin 150001 Heilongjiang Peoples R China

In consideration of the difficulty in determining the parameters of underactuated autonomous underwater vehicles in multi-degree-of-freedom motion control, a hybrid method that combines particle swarm optimization (PSO) with artificial fish school algorithm (AFSA) is proposed in this paper. The optimization process of the PSO-AFSA method is firstly introduced. With the control simulation models in the horizontal plane and vertical plane, the PSO-AFSA method is elaborated when applied in control parameter optimization for an underactuated autonomous underwater vehicle. Both simulation tests and field trials were carried out to prove the efficiency of the PSO-AFSA method in underactuated autonomous underwater vehicle control parameter optimization. The optimized control parameters showed admirable control quality by enabling the underactuated autonomous underwater vehicle to reach the desired states with fast convergence.

关键词： PARTICLE swarm optimization computer algorithms MATHEMATICAL optimization VERTICAL farming SIMULATION methods & models AUTONOMOUS underwater vehicles

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Subcarriers-and-its allocation algorithms for downlink OFDMA-based MIMO systems

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JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS 2017年第11期354卷 4615-4636页

作者： Wu, Wei-Chiang Hsu, Chieh-Yen Dayeh Univ Dept Elect Engn 168Univ Rd Changhua 515 Taiwan

This paper proposes four resource (subcarriers-and-bits) allocation methods for OFDMA-based multiuser MIMO system. We employ adaptive modulation according to the channel state information (CSI) of each user to meet the symbol error rate (SER) requirement. The first scheme is based on transmit spatial diversity (TSD), in which the vector channel with the highest gain between the base station and specific antenna at remote terminal is chosen for transmission. The second scheme assigns subcarrier to the best user and employs spatial multiplexing on the MIMO system to further enhance the throughput. The space-division multiple-access (SDMA) scheme assigns single subcarrier simultaneously to the remote terminals with pairwise "nearly orthogonal" spatial signatures. In the fourth scheme, we propose to design the transmit beamformers based on the zero-forcing (ZF) criterion such that the multi-user interference (MTH) is completely removed. Moreover, spatial multiplexing technique is jointly exploited to achieve throughput multiplication. Numerical results demonstrate that all the proposed algorithms are simple and reliable and the fourth scheme is the best since all users are allowed to share single subcarrier. (C) 2017 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

关键词： computer algorithms MIMO systems RESOURCE allocation SPACE division multiple access INTERFERENCE (Telecommunication)

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Model Learning

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COMMUNICATIONS OF THE ACM 2017年第2期60卷 85-95页

作者： Vaandrager, Frits Radboud Univ Nijmegen Inst Comp & Informat Sci Dept Software Sci Nijmegen Netherlands

WE ROUTINELY MANAGE to learn the behavior of a device or computer program by just pressing buttons and observing the resulting behavior. Especially children are very good at this and know exactly how to use a smartphone or microwave oven without ever consulting a manual. In such situations, we construct a mental model or state diagram of the device: through experiments we determine in which global states the device can be and which state transitions and outputs occur in response to which inputs. This article is about the design and application of algorithms that perform this task automatically. There are numerous approaches where models of software components are inferred through analysis of the code, mining of system logs, or by performing

关键词： computer algorithms Machine learning Querying (computer science) computer simulation

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A Density-Based Ramp Metering Model Considering Multilane Context in Urban Expressways

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MATHEMATICAL PROBLEMS IN ENGINEERING 2017年第1期2017卷 1-11页

作者： Tang, Li Luo, Xia Zhai, Pengfei Gao, Xunfei Xihua Univ Sch Automobile & Transportat 999 Jinzhou Rd Chengdu 610039 Sichuan Peoples R China Jiangsu Prov Collaborat Innovat Ctr Modern Urban Sipailou 2 Nanjing 210096 Jiangsu Peoples R China Southwest Jiaotong Univ Sch Transportat & Logist 111 Second Ring RdNorth Sect 1 Chengdu 610031 Sichuan Peoples R China

As one of the most effective intelligent transportation strategies, ramp metering is regularly discussed and applied all over the world. The classic ramp metering algorithm ALINEA dominates in practical applications due to its advantages in stabilizing traffic flow at a high throughput level. Although ALINEA chooses the traffic occupancy as the optimization parameter, the classic traffic flow variables (density, traffic volume, and travel speed) may be easier obtained and understood by operators in practice. This paper presents a density-based ramp metering model for multilane context (MDB-RM) on urban expressways. The field data of traffic flow parameters is collected in Chengdu, China. A dynamic density model for multilane condition is developed. An error function represented by multilane dynamic density is introduced to adjust the different usage between lanes. By minimizing the error function, the density of mainstream traffic can stabilize at the set value, while realizing the maximum decrease of on-ramp queues. Also, VISSIM Component Object Model of Application Programming Interface is used for comparison of the MDB-RM modelwith a noncontrol, ALINEA, and density-based model, respectively. The simulation results indicate that theMDB-RM model is capable of achieving a comprehensive optimal result from both sides of the mainstream and on-ramp.

关键词： RAMP metering (Traffic engineering) INTELLIGENT transportation systems computer algorithms EXPRESS highways ERROR functions computer simulation

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Method for tuning the motion planning parameters of a mobile robot

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JOURNAL OF computer AND SYSTEMS SCIENCES INTERNATIONAL 2017年第1期56卷 164-172页

作者： Davydov, O. I. Platonov, A. K. Russian Acad Sci Keldysh Inst Appl Math Moscow Russia

This paper presents a method for configuring the motion planning system of an omniwheeled mobile robot with a differential drive. A simulation program that models the horizontal movement of the robot is described. This simulation program is used to select the optimal parameters for the differential drive control algorithm. Then, the motion planning system is tested on a real robot, which is called RB-2, to adjust the parameters selected. This approach allows the control algorithm to be tuned efficiently and effectively, minimizing the number of its test runs on the physical robot.

关键词： tuning Horizontal motion differential drives motion planning emulator program optimal parameter Robot Mobile robots computer algorithms

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Towards prognostics and health monitoring: The potential of fault detection by piezoresistive silicon stress sensor

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MICROELECTRONICS RELIABILITY 2017年 74卷 165-172页

作者： Palczynska, Alicja Prisacaru, Alexandru Gromala, Przemyslaw Jakub Han, Bongtae Mayer, Dirk Melz, Tobias Robert Bosch GmbH Reliabil Modeling & Syst Optimizat AE EDT3 D-72703 Reutlingen Germany Univ Maryland Dept Mech Engn College Pk MD 20742 USA Fraunhofer Inst Betriebsfestigkeit & Syst Zuverla D-64289 Darmstadt Germany

A piezoresistive silicon based stress sensor has been demonstrated successfully as an effective tool to monitor the stresses inside electronic packages during various production processes. More recently, the sensor has been evaluated as a sensor for Prognostics and Health Monitoring (PHM) systems. This paper presents a systematic approach that evaluates its performance from the perspective of failure mode detection. A detailed Finite Element method (FEM) model of existing test vehicles is created. The test vehicle consists of six DPAK (Discrete Package) power packages and three stress sensors. The results of simulation are verified by the signals obtained from the stress sensor as well as the supplementary warpage measurements. After inserting various failure modes into the model, statistical pattern recognition algorithms are implemented for fault detection and classification. The proposed technique can identify detectable failures during reliability testing by utilizing the database of stress sensor responses for healthy and unhealthy state. Thus, the results establish a baseline for the applicability of the piezoresistive stress sensor for an on-line monitoring PHM methodology. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： PIEZORESISTIVE devices FINITE element method FAULT diagnosis (Chemical engineering) PATTERN recognition systems computer algorithms

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Dynamic Rig for Validation of Control algorithms at High Angles of Attack

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JOURNAL OF AIRCRAFT 2017年第5期54卷 1760-1771页

作者： Ignatyev, Dmitry I. Sidoryuk, Maria E. Kolinko, Konstantin A. Khrabrov, Alexander N. TsAGI Flight Dynam & Control Syst Dept 1 Zhukovsky St Moskovskaya Oblast 140180 Russia TsAGI Unsteady Aerodynam Div Dynam & Control Syst Dept 1 Zhukovsky St Moskovskaya Oblast 140180 Russia

The dynamics of a modern aircraft at high angles of attack is complicated, with hazardous phenomena such as wing rock, stall, and spin. The paper presents a technique for cost-effective and safe studying of conventional and critical flight regimes and control validation using an autonomous scaled aircraft model mounted in a three-degree-of-freedom gimbal in a wind tunnel. The similarity of the dynamics at high angles of attack of the wind-tunnel model and the free-flying model is demonstrated. To suppress the wing rock and to prevent the stall, two control laws are designed using linear matrix inequalities and model reference adaptive control techniques. The controllers are tested in a semifree flight of the autonomous scaled model in the wind tunnel. Wing rock suppression and stall and spin prevention are demonstrated.

关键词： HIGH ANGLES High angle of attack Wind Aircraft models scale models dynamics wing rock model reference adaptive control computer algorithms ANGLE OF ATTACK

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