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Cooperative and distributed algorithm for compressed sensing recovery in WSNs

IET SIGNAL PROCESSING 2018年第3期12卷 346-357页

作者： Azarnia, Ghanbar Tinati, Mohammad Ali Rezaii, Tohid Yousefi Univ Tabriz Fac Elect & Comp Engn Tabriz Iran

Wireless sensor networks (WSNs) could benefit a lot from compressive sensing (CS). Inherent physical structure of sensors of WSNs (battery-powered devices) demands computational-efficient algorithms with no heavy burden on a small subset of the sensors, i.e. fusion sensors. This could be achieved by distributed algorithms in which computation is distributed among all sensor nodes. On this basis, in this study, the authors have proposed a distributed and cooperative sparse recovery algorithm in which each sensor decodes a sparse signal by running a recovery algorithm with the cooperation of its neighbours. The proposed algorithm has a general structure and can be adapted to many optimisation algorithms in the context of the CS. This algorithm is completely distributed and requires an acceptable computational complexity that is suitable for WSNs. A detailed proof of convergence behaviour of the proposed algorithm is also presented. The superiority of the proposed algorithm compared with similar methods in terms of recovery quality and convergence rate is confirmed through simulation.

关键词： wireless sensor networks compressed sensing optimisation computational complexity compressed sensing recovery WSN wireless sensor networks compressive sensing battery-powered devices fusion sensors cooperative sparse recovery algorithm distributed sparse recovery algorithm sparse signal optimisation algorithm computational complexity recovery quality convergence rate

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Active distribution network with efficient utilisation of distributed generation ancillary services

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IET SMART GRID 2018年第4期1卷 151-158页

作者： Ampofo, Desmond O. Al-Hinai, Amer El Moursi, Mohamed Khalifa Univ Elect & Comp Engn Dept Abu Dhabi U Arab Emirates Sultan Qaboos Univ Elect & Comp Engn Dept Muscat Oman

This study introduces an active distribution network with high penetration of inverter-based distributed generations (IBDGs) to improve the steady state, dynamic and transient performance of the distribution network. The size and location of the IBDGs, capacitor bank, on-load tap changers position and voltage regulator set points have been optimised to minimise the system losses, improve voltage profile and maximise the dynamic reactive power reserve. In addition to that, the adaptive master/slave roles are deployed in planning the active distribution network to achieve the best utilisation of each device based on its capability and response time in steady state, dynamic and transient operation. Indeed, the optimisation algorithm allows the IBDGs to operate in an inductive mode of operation during steady state resulted in maximising the dynamic reactive power reserve. Consequently, the IBDGs react with large dynamic margin in response to grid fault leading to enhanced voltage recovery and improved transient response. A comprehensive system optimisation and transient analysis are carried out to demonstrate the performance of the distribution network for enhancing the voltage profile, increasing the penetration level of renewable energy distributed generation, IBDGs, and improving the transient recovery in response to severe grid fault.

关键词： voltage regulators transient analysis power generation faults power grids reactive power invertors distributed power generation transient response power system transients on load tap changers power distribution planning optimisation transient recovery comprehensive system optimisation transient response transient analysis grid fault dynamic margin inductive mode optimisation algorithm voltage profile system losses minimization on-load tap changer position active distribution network planning voltage regulator set points capacitor bank transient performance dynamic performance distributed generation ancillary services renewable energy distributed generation dynamic reactive power reserve IBDGs transient operation dynamic operation B0260 optimisation techniques B8110D Power system planning and layout B8350 Transformers and reactors B8120K Distributed power generation B8360N DC-AC power convertors (invertors)

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New computation method for average dwell time of general switched systems and positive switched systems

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IET CONTROL THEORY AND APPLICATIONS 2018年第16期12卷 2263-2268页

作者： Zhang, Junfeng Li, Miao Zhang, Ridong Hangzhou Dianzi Univ Sch Automat Hangzhou 310018 Zhejiang Peoples R China

Average dwell time (ADT) of switched systems is dependent on two parameters: the decay coefficient of the subsystems and the increase coefficient of the Lyapunov functions of different subsystems, namely,. and mu, respectively. In the literature, the two parameters are prescribed because popular computation techniques cannot deal with bilinear conditions easily. A new method for the computation of ADT is presented in this study, where a suggested optimisation algorithm is proposed to obtain a loose ADT condition. The advantages of the method lie in twofold: (i) the parameters. and mu do not need to be given, and (ii) the presented ADT conditions are tractable to solve. The method is also extended to mode- dependent ADT (MDADT), ADT in asynchronous control, and ADT and MDADT of positive switched systems.

关键词： switching systems (control) Lyapunov methods optimisation computation method average dwell time loose ADT condition general switched systems positive switched systems subsystems decay coefficient Lyapunov functions increase coefficient optimisation algorithm mode-dependent ADT asynchronous control MDADT switching signal

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Workspace analysis for a five degrees of freedom hybrid engraving plotter

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JOURNAL OF ENGINEERING-JOE 2019年第13期2019卷 278-283页

作者： Chen, Jiupeng San, Hongjun Kunming Univ Sci & Technol Fac Mech & Elect Engn Kunming Yunnan Peoples R China

At present, there is a little research on the workspace of the hybrid mechanism, and the further development of the engraving plotter is hindered due to the limitation of the workspace. In order to clearly understand the workspace of the hybrid engraving plotter, and verify whether the workspace meets the industrial production needs, the five degrees of freedom hybrid engraving plotter is analysed and studied. First, the structure of the engraving plotter is analysed and simplified, and then the direct equation is deduced by the analytic method. Second, according to the engraving plotter direct solution equation, the boundary of workspace is determined and the volume is calculated by using the optimisation algorithm. In order to understand the change of workspace in different z planes, the workspace of the parallel part is intercepted by some planes, which are parallel to XOY;thus, the authors know that the cut plane area of the workspace increases with the increase of Z values. Finally, the influence of the mechanism parameters is discussed on the dexterity. These theoretical knowledge will make important research significance for guiding engineering practice.

关键词： optimisation production equipment manufacturing processes workspace analysis hybrid mechanism engraving plotter direct solution equation hybrid engraving plotter industrial production optimisation algorithm

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optimisation of dragline inspection intervals with time-counter algorithm

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INTERNATIONAL JOURNAL OF MINING RECLAMATION AND ENVIRONMENT 2017年第6期31卷 412-425页

作者： Golbasi, Onur Demirel, Nuray Colorado Sch Mines Dept Min Engn Golden CO 80401 USA Middle East Tech Univ Dept Min Engn Ankara Turkey

This research study proposed a novel algorithm, called time-counter, to optimise inspection intervals of production systems. The developed algorithm was applied to two active draglines. The algorithm evaluated random uptime/downtime characteristics of the draglines and the planned dragline halts in the mine. Physical and random non-physical costs were included and annual maintenance cost minimisation was achieved. Dragline-1 and Dragline-2 inspection intervals were optimised as 232 and 184 h and their maintenance costs were reduced by 5.9 and 6.2% compared to the current interval, respectively. This study is the first initiative in cost-effective inspection interval optimisation of a mining machinery.

关键词： Inspection interval optimisation algorithm cost minimisation mining machinery dragline

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Improved UFLS with consideration of power deficit during shedding process and flexible load selection

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IET RENEWABLE POWER GENERATION 2018年第5期12卷 565-575页

作者： Jallad, Jafar Mekhilef, Saad Mokhlis, Hazlie Laghari, Javed Ahmad Univ Malaya Fac Elect Engn Kuala Lumpur Malaysia Quaid E Awam Univ Engn Sci & Technol QUEST Dept Elect Engn Nawabshah Sindh Pakistan

This study presents an improved under-frequency load shedding (UFLS) scheme that can detect power deficit during the shedding process and accordingly adjust the amount of load shedding. This is achieved by continuous monitoring of the overshooting signal of the second frequency derivative of the centre of inertia. Once detected, an equivalent system inertia constant is estimated in order to quantify the new power deficit. The scheme is also equipped with an optimisation algorithm to determine the best combination of loads that is close to the amount of power deficit, which minimises frequency overshoot/undershoot. The optimisation technique selected for this work is based on particle swarm optimisation. The performance of the proposed UFLS scheme was validated using a modified IEEE 33 bus with two mini-hydro generators and one full converter wind turbine. The system and the proposed UFLS was modelled and simulated in PSCAD/EMTDC software. The results confirmed that the proposed scheme is capable of shedding loads with minimum undershoot/overshoot, and detect and estimate a new power deficit during load shedding. The results reported by the proposed scheme proved to be significantly better than those reported by conventional and adaptive load shedding schemes.

关键词： wind turbines hydroelectric generators particle swarm optimisation load shedding UFLS power deficit shedding process flexible load selection underfrequency load shedding overshooting signal second frequency derivative equivalent system inertia constant optimisation algorithm frequency overshoot frequency undershoot particle swarm optimisation modified IEEE 33 bus minihydro generators full converter wind turbine

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Non-linear MPC for winding loss optimised torque control of anisotropic PMSM

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JOURNAL OF ENGINEERING-JOE 2019年第17期2019卷 4252-4256页

作者： Schnurr, Christoph Hohmann, Soeren Kolb, Johannes Karlsruhe Inst Technol Inst Control Syst Karlsruhe Germany Schaeffler Technol AG & Co KG SHARE KIT Karlsruhe Germany

For a non-linear anisotropic permanent magnet synchronous machine (PMSM), a prediction model for model predictive control (MPC) considering effects like cross-coupling and saturation is developed in a straight forward procedure. The objective of the designed MPC is either tracking of reference currents or torque tracking. Both approaches use the projected fast gradient method (PFGM) as optimisation algorithm. The latter approach makes look-up-tables for current references obsolete and additionally minimises winding losses. This two approaches are compared in a simulation study with a state of the art PI controller.

关键词： synchronous machines control system synthesis gradient methods torque control permanent magnet machines predictive control machine control nonlinear control systems optimisation electric current control nonlinear MPC nonlinear anisotropic permanent magnet synchronous machine prediction model model predictive control cross-coupling reference currents torque tracking projected fast gradient method optimisation algorithm winding loss optimised torque control anisotropic PMSM

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A New Ant-colony Metaheuristic algorithm for Optimising Multi-level Truss Topological Design

A New Ant-colony Metaheuristic Algorithm for Optimising Mult...

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第六届国际仿生工程学术大会暨2019年自然启迪科技国际研讨会

作者： Michael Nwaki Shujun Zhang Kamal Bechkoum Abu Alam School of Computing and Technology University of Gloucestershire

Topological design truss problems are known to be difficult to solve to optimality, partly due to the inaccuracies of computational strategies to evaluate the impact of external forces acting on a specific edge(truss), which can have significant resultant effect on other trusses, through the individual vertices(node) and the magnitude of these resultant effects are difficult to accurately estimate due to the damping effect of the vertices(nodes). Besides, the largeness of the search space can be an issue, which can only be resolved with superior computational power and strategies. The complexities of these problems becomes exponentially larger when it involves multi-level hierarchies. This paper proposes a new ant-colony metaheuristic algorithm(ACO) including a local search metaheuristic. In this algorithm, the ACO will be used exploitatively to identify high performance area of the search field, through the continuous interactions between the search agents(ants) and then using the local search algorithms, such as hill-climber to localise the search solutions. The feasibility of the structure of each combinatorial solutions, i.e. the discrete options and the corresponding continuous design variables will be evaluated using the Grubler‘s criteria(degree of freedom), to determine the kinematic stability i.e. the statistical and dynamic balancing of a solution(structure). The algorithm has been verified and tested using a typical truss design problem. By comparative analysis and evaluation, it has been shown that the proposed algorithm can be used simultaneously, in searching across multi-level hierarchies for solving trust topological design problems with both the discrete and continuous design parameters within a given set of constraints. It is effective and more efficient than the existing algorithms such as GA for the similar problems.

关键词： ACO optimisation algorithm multi-level-hierarchies truss topological design

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Optimised blind image watermarking method based on firefly algorithm in DWT-QR transform domain

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IET IMAGE PROCESSING 2017年第6期11卷 406-415页

作者： Guo, Yong Li, Bing-Zhao Goel, Navdeep Beijing Inst Technol Sch Math & Stat Beijing 100081 Peoples R China Beijing Inst Technol Beijing Key Lab MCAACI Beijing 100081 Peoples R China Yadavindra Coll Engn Elect & Commun Engn Sect Punjabi Univ Guru Kashi Campus Talwandi Sabo 151302 Punjab India

Firefly algorithm (FA) is one of the newly developed nature inspired optimisation algorithm, inspired by the flashing behaviour of fireflies that a firefly tends to be attracted towards other fireflies with higher brightness. Thus FA has two advantages: local attractions and automatic regrouping. Based on these good properties, a novel image watermarking method based on FA in discrete wavelet transform (DWT)-QR transform domain is proposed in this study. Structural similarity index measure and bit error rate are used in the objective function to trade-off invisibility and robustness. The experiment results show that the proposed image watermarking method not only meet the need of invisibility, but also has better or comparable robustness as compared with some related methods.

关键词： image watermarking optimisation discrete wavelet transforms optimised blind image watermarking method firefly algorithm DWT-QR transform domain FA optimisation algorithm flashing behaviour discrete wavelet transform

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Performance improvements of wire fault diagnosis approach based on time-domain reflectometry

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IET SCIENCE MEASUREMENT & TECHNOLOGY 2017年第5期11卷 538-544页

作者： de Paulis, Francesco Boudjefdjouf, Hamza Bouchekara, Houssem R. E. H. Orlandi, Antonio Smail, Mostafa Kamel Univ Aquila Dept Ind & Informat Engn & Econ UAq EMC Lab Laquila Italy Univ Freres Mentouri Constantine Dept Elect Engn Constantine Elect Engn Lab LEC Constantine 25000 Algeria Univ Freres Mentouri Constantine Dept Elect Engn Lab Elect Engn Constantine LGEC Constantine 25000 Algeria IPSA 7-9 Rue Maurice Grandcoing F-94200 Ivry France

The aim of this study is to improve the performance of a wire fault diagnosis approach based on time-domain reflectometry (TDR). In this approach, the TDR response collected from measurements for a given (faulty) coaxial cable network is used as a reference for the cable network model response computed by an accurate analytical transmission line (ATL) method. The ATL model is iteratively tuned according to the outcome of the optimisation algorithm proposed. The advantage of the proposed ATL method over the more classic finite difference time-domain method is the extremely faster computational time which represents a significant factor for the diagnosis of faults in wiring networks. The proposed ATL method accurately provides the features of the resistance-inductance-conductance-capacitance-based model of a RG-58 coaxial cable employed as a device under test. The ATL model has been validated by comparison with measurement based and circuit simulations. Furthermore, seven experiments have been investigated in order to evaluate the performance of the ATL method for the diagnosis of wiring networks. The obtained results reveal that the ATL method together with the efficient optimisation algorithm is a reliable, efficient and fast method for the diagnosis of wiring networks.

关键词： fault diagnosis time-domain reflectometry wires coaxial cables transmission lines optimisation iterative methods finite difference time-domain analysis wire fault diagnosis approach time-domain reflectometry TDR analytical transmission line method ATL method optimisation algorithm finite difference time-domain method resistance-inductance-conductance-capacitance-based model RG-58 coaxial cable network open-short fault identification Y-shaped network YY-shaped network iterative method

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