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Real-time implementation of active shunt compensator with adaptive SRLMMN control technique for power quality improvement in the distribution system

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IET GENERATION TRANSMISSION & DISTRIBUTION 2020年第8期14卷 1598-1606页

作者： Badoni, Manoj Singh, Alka Singh, Bhim Saxena, Hemant Thapar Inst Engn & Technol Dept Elect & Instrumentat Engn Patiala Punjab India Delhi Technol Univ Dept Elect Engn Delhi India Indian Inst Technol Dept Elect Engn Delhi India

In this work, the development of sign regressor least mean mixed norm (SRLMMN) control technique for a distribution static compensator (D-STATCOM) is presented. This control technique extracts fundamental weight components from the non-sinusoidal load currents and generates reference grid currents. D-STATCOM is developed for harmonics eradication, reactive power injection and load balancing and its performance is investigated in several operating modes. The performance of SRLMMN control is compared with recursive least square (RLS) and variable step least mean square (VSLMS) control techniques in terms of convergence, steady-state error, harmonics elimination, sample time and computation complexity. The major advantages of SRLMMN control technique, are fast convergence, less steady-state error, low total harmonic distortion (THD) and offers less computation complexity when compared with RLS and VSLMS. A laboratory-scale prototype of compensator is realised using a voltage source converter with the controller implemented in the dSPACE-MicroLabBox. Both MATLAB simulation and experimental results are included to demonstrate the performance of shunt compensator under steady-state and dynamic loadings. The developed SRLMMN control technique mitigates power quality problems and effectively suppresses THD observed in the grid current with reference to IEEE Standard 519-2014.

关键词： least mean squares methods power grids static VAr compensators power supply quality reactive power IEEE standards harmonic distortion active shunt compensator adaptive SRLMMN control technique power quality improvement distribution system sign regressor mixed norm control technique distribution static compensator D-STATCOM fundamental weight components nonsinusoidal load currents reference grid currents harmonics eradication reactive power injection load balancing steady-state error harmonics elimination sample time computation complexity low total harmonic distortion dynamic loadings developed SRLMMN control technique power quality problems

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Adaptive directive neural network control for threephase AC/DC PWM converter

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IEE PROCEEDINGS-ELECTRIC POWER APPLICATIONS 2001年第5期148卷 425-430页

作者： Cheng, KWE Wang, HY Sutanto, D Hong Kong Polytech Univ Dept Elect Engn Kowloon Hong Kong Peoples R China

A novel control strategy is proposed: adaptive B-spline neural network for three-phase AC DC voltage source converters, which realises a sinusoidal AC input current and unity power factor. Compared with other PWM techniques, neural network control provides an excellent component of a nonlinear system and is adaptive enough to fit the environment change. An on-line B-spline neural network is used because of its local weight updating characteristic. which has the advantages of fast convergence speed and low computation complexity. This is very important for real-time control applications. Both simulation and experimental results are presented to verify the effectiveness of the proposed control strategy.

关键词： splines (mathematics) adaptive control convergence speed computation complexity Power convertors and power supplies to apparatus AC-DC power convertors control system analysis local weight updating characteristic PWM power convertors control performance real-time control applications Neural nets control simulation control design Neurocontrol Interpolation and function approximation (numerical analysis) three-phase AC/DC PWM power converter control system synthesis unity power factor voltage source converters adaptive directive neural network control Control system analysis and synthesis methods neurocontrollers Control of electric power systems sinusoidal AC input current Self-adjusting control systems Voltage control voltage control rectifying circuits adaptive B-spline neural network

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Huddle hierarchy based group key management protocol using gray code

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WIRELESS NETWORKS 2014年第4期20卷 695-704页

作者： Varalakshmi, R. Uthariaraj, V. Rhymend Anna Univ Ramanujan Comp Ctr Chennai 600025 Tamil Nadu India

Secure and reliable group communication is an active area of research. Its popularity is fuelled by the growing importance of group-oriented and collaborative applications. The central research challenge is secure and efficient group key management. The present paper is based on the huddle hierarchy based secure multicast group key management scheme using the most popular absolute encoder output type code named gray code. The focus is of twofolds. The first fold deals with the reduction of computation complexity which is achieved in this protocol by performing fewer multiplication operations during the key updating process. To optimize the number of multiplication operations, the fast Fourier transform, divide and conquer approach for multiplication of polynomial representation of integers, is used in this proposed work. The second fold aims at reducing the amount of information stored in the Group Center and group members while performing the update operation in the key content. Comparative analysis to illustrate the performance of various key distribution protocols is shown in this paper and it has been observed that this proposed algorithm reduces the computation and storage complexity significantly.

关键词： Multicast group key management Huddle hierarchy Fast Fourier transform Polynomial integer multiplications Gray code computation complexity Storage complexity

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Neuro-Fuzzy Logic for Automatic Animation Scene Generation in Movie Arts in Digital Media Technology

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INTERNATIONAL JOURNAL OF computationAL INTELLIGENCE SYSTEMS 2024年第1期17卷 1-15页

作者： Peng, Liu Tianshui Normal Univ Coll Literature & Cultural Commun Tianshui 741000 Peoples R China

Animation scene generation (ASG) is the best digital media tool for lifelike scenes, particularly for movies. Traditional animation methods are laborious, computationally intensive, and scalable. Thus, this work addresses animation production issues using NFL-ASG. Combining fuzzy logic with a convolution neural network may create more realistic animated situations with less human interaction and better learning. Convolutional model training uses animation scenarios' complicated motion patterns, character interactions, and ambient factors. Deep learning and fuzzy logic might change animation by boosting production techniques and releasing digital media technological creativity. After testing the system on the Moana Island scene dataset, it achieved a perception analysis success rate of 0.981% and a minimal processing complexity of (n logn).

关键词： Animation scene generation Convolution neural networks Fuzzy logic Moana island scene computation complexity

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computation-efficient multicast key distribution

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IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 2008年第5期19卷 577-586页

作者： Xu, Lihao Huang, Cheng Wayne State Univ Dept Comp Sci Detroit MI 48202 USA Microsoft Res Labs Redmond WA 98052 USA

Efficient key distribution is an important problem for secure group communications. The communication and storage complexity of multicast key distribution problem has been studied extensively. In this paper, we propose a new multicast key distribution scheme whose computation complexity is significantly reduced. Instead of using conventional encryption algorithms, the scheme employs MDS codes, a class of error control codes, to distribute multicast key dynamically. This scheme drastically reduces the computation load of each group member compared to existing schemes employing traditional encryption algorithms. Such a scheme is desirable for many wireless applications where portable devices or sensors need to reduce their computation as much as possible due to battery power limitations. Easily combined with any key-tree-based schemes, this scheme provides much lower computation complexity while maintaining low and balanced communication complexity and storage complexity for secure dynamic multicast key distribution.

关键词： key distribution multicast MDS codes erasure decoding computation complexity

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Wide-band modelling and transient analysis of the multi-conductor transmission lines system considering the frequency-dependent parameters based on the fractional calculus theory

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IET GENERATION TRANSMISSION & DISTRIBUTION 2016年第13期10卷 3374-3384页

作者： Liu, Xin Ti, Chenyang Liang, Guishu North China Elect Univ Dept Elect Engn Yonghua North St 619 Baoding Peoples R China

The transient analysis of multi-conductor transmission lines should consider the frequency-dependent characteristics due to the skin effect. Fully considering the inherent fractional order characteristics of the frequency-dependent effect, a general wide-band modelling method is proposed. The fractional order vector fitting method is adopted to approximate the frequency-dependent parameters and the corresponding fractional differential equations can be obtained by the inverse Laplace transformation. The backward difference is a practical method to solve the fractional differential equations;however, a linear convolution must be calculated, which will lead to a heavy computation complexity. To address this issue, a new recursive convolution method for the fractional differential equations is proposed and an efficient solution is achieved. Furthermore, considering the indispensability of the passivity verification of a system for the transient simulation, the passivity verification by extending the Hamiltonian matrix for the fractional order systems is studied and a practical criterion is proposed. Three examples are considered to validate the proposed method: (i) a single underground cable, (ii) three-phase underground cable, and (iii) an experimental transformer under very fast transient voltage. The simulation results are compared with the results obtained by power systems computer-aided design or measurements and good agreements are achieved.

关键词： system verification passivity indispensability backward difference Differential equations (numerical analysis) inherent fractional order characteristics skin effect approximation theory Linear algebra (numerical analysis) multiconductor transmission lines system Hamiltonian matrix transient simulation transient analysis fractional calculus theory conductors (electric) Power transmission lines and cables single underground cable fractional order vector fitting method Laplace transforms inverse transforms frequency-dependent parameters very fast transient voltage underground cables linear convolution three-phase underground cable differential equations experimental transformer wide-band modelling method computation complexity recursive convolution method matrix algebra Interpolation and function approximation (numerical analysis) fractional differential equations vectors inverse Laplace transformation Integral transforms in numerical analysis power transmission lines

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Analysis of black phosphorus double gate MOSFET using hybrid method for analogue/RF application

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IET CIRCUITS DEVICES & SYSTEMS 2020年第8期14卷 1167-1172页

作者： Rathinam, Ramesh Pon, Adhithan Carmel, Santhia Bhattacharyya, Arkaprava SASTRA Deemed Univ Sch Elect & Elect Engn Device Modeling Lab Thanjavur 613401 Tamil Nadu India

In this work, the authors study the performance of black phosphorus double gate MOSFET (BP-DGMOSFET) within the ballistic limit. A hybrid simulation technique involving both atomistic and technology computer-aided design (TCAD) tool has been used for the first time to simulate the device characteristics. First, the density functional theory has been used to simulate the electrical characteristics of single and fewlayer (five layers) phosphorene (including armchair and zigzag directions). The parameters such as bandgap and effective mass obtained using an atomistic simulator tool are exported into Sentaurus TCAD to simulate the BP-DGMOSFET characteristics. They have used the kinetic velocity model and quantum model to account for the ballistic mobility and quantum effects in the device. The current drain characteristics are calibrated with non-equilibrium Greens function (NEGF) simulation and radio frequency (RF) characteristics with compact model values and found that their results agree with them. Secondly, the other RF figure of merits, such as maximum frequency of oscillation, transconductance, output conductance and stability has also been simulated. It is found that their proposed method shows results comparable to NEGF with reduced computation time and complexity.

关键词： technology CAD (electronics) phosphorus Green's function methods ballistic transport semiconductor device models density functional theory MOSFET electronic engineering computing ballistic limit hybrid simulation technique device characteristics density functional theory electrical characteristics atomistic simulator tool BP-DGMOSFET characteristics kinetic velocity model quantum model ballistic mobility quantum effects current drain characteristics black phosphorus double gate MOSFET analysis analogue-RF application technology computer-aided design tool phosphorene effective mass bandgap Sentaurus TCAD nonequilibrium Greens function simulation NEGF simulation reduced computation time computation complexity

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An MPC Approximation Approach for Adaptive Cruise Control With Reduced computational complexity and Low Memory Footprint

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES

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IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 2024年第2期9卷 3154-3167页

作者： Nguyen, Duc Giap Park, Suyong Park, Jinrak Kim, Dohee Eo, Jeong Soo Han, Kyoungseok Kyungpook Natl Univ Grad Sch Mech Engn Daegu 41566 South Korea Hyundai Motor Co Electrified Syst Control Res Lab Hwaseong 18280 South Korea

This work demonstrates the application of deep neural networks (DNN) to alleviate the computational complexity associated with Model Predictive Control (MPC), which has always been an obstacle hindering the practical adoption of MPC. This challenge is particularly critical in applications for autonomous vehicles where achieving multiple objectives while enforcing a certain number of system constraints is essential. We first revisit and design a control algorithm tailored to the Adaptive Cruise Control (ACC) problem. The developed algorithm consists of two distinct implicit MPCs, each addressing a specific control mode, namely velocity and space control. Multiple control objectives and constraints are integrated into the algorithm synthesis to ensure satisfactory control performance. We further adopt supervised learning with deep neural networks to reduce the computational cost of MPC, thereby making MPC more accessible for practical use. Simulation results affirm that the DNN-based approximated policy can match the control performance in terms of both tracking precision and constraint satisfaction of state-of-the-art solvers dedicated to optimization problems. Remarkably, the execution time of the approximated policy is approximately one order of magnitude lower than that of implicit MPCs, while its memory footprint is significantly lower than those of its counterparts, thereby emphasizing its distinct advantages.

关键词： Approximation algorithms Optimization Cruise control computational complexity Aerospace electronics Supervised learning Predictive control Adaptive cruise control autonomous vehicle approximated MPC computation complexity deep neural networks model predictive control

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Histogram-based cost aggregation strategy with joint bilateral filtering for stereo matching

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IET COMPUTER VISION 2016年第3期10卷 173-181页

作者： Fu, Limei Peng, Guohua Song, Weijie Northwestern Polytech Univ Sch Sci Xian 710072 Peoples R China

The edge-aware bilateral filter has been demonstrated to be effective for preserving depth edges, and disparity maps obtained from Fast Bilateral Stereo (FBS) have enhanced the efficiency of algorithm and the robustness to noise. However, they also lead to a non-perfect localisation of discontinuities. To overcome this issue, a new bilateral filtering based cost aggregation utilising colour statistical classification and similarity measurement within annular blocks is proposed in this study. We have adopted the similarity of histograms evaluated by Earth Mover Distance (EMD) to obtain the raw matching cost in the raised annular block, since histograms are very effective and efficient in capturing the distribution characteristics of visual features. For the weights aggregation, the spatial weight is assumed to be a constant. The colour weight is calculated by using a cluster-mean-value strategy, which is implemented by the local colour histogram. It improves the accuracy in the discontinuous areas. computation redundancy is reduced by disparity candidate selection using the local minimal relevancy in the corresponding annular blocks. We use the efficiency and accuracy to demonstrate the performance of our proposed method. Experimental results have shown that the proposed method reduces the mismatch at depth discontinuous and the computation complexity significantly.

关键词： cluster-mean-value strategy filtering theory Other topics in statistics image matching histogram-based cost aggregation strategy Image recognition statistical analysis similarity measurement stereo matching Earth mover distance edge-aware bilateral filter computation complexity Computer vision and image processing techniques Filtering methods in signal processing image enhancement disparity candidate selection stereo image processing image colour analysis colour histogram statistical classification bilateral filtering based cost aggregation strategy

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Beamspace reduced-dimension space-time adaptive processing for multiple-input multiple-output radar based on maximum cross-correlation energy

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IET RADAR SONAR AND NAVIGATION 2015年第7期9卷 772-777页

作者： Zhang, Wei He, Zishu Li, Jun Li, Chaohai Univ Elect Sci & Technol China Sch Elect Engn Chengdu 610054 Peoples R China

A new method for selecting auxiliary channels in reduced-dimension space-time adaptive processing (STAP) based on maximum cross-correlation energy has been proposed for airborne multiple-input multiple-output radar. It is demonstrated that the proposed algorithm can achieve the same output signal-to-interference-noise ratio (SINR) performance as the multistage multiple-beam STAP algorithm which can assure the optimal performance when the number of auxiliary channels is fixed, but the auxiliary channels selecting process of the proposed algorithm is extremely simplified. Hence, the computation complexity is reduced dramatically. Practical considerations dictate that only the minimum number of auxiliary channels [(adaptive degrees of freedom (DoFs)] is required to achieve the desired array performance. The proposed approach can achieve the desired output signal-to-interference-noise performance with the minimum number of auxiliary channels. Consequently, the proposed approach can reduce the requirement of the sample support dramatically. It is demonstrated that the SINR loss will be <3 dB when only one channel is selected as the auxiliary channel. Generally, two to three channels are enough even when the clutter covariance matrix is unknown. This will be more obvious advantage when the number of independent and identically distributed secondary samples is limited. The reduction in DoFs can make the proposed approach more suitable for the practical clutter environments.

关键词： Radar theory multistage multiple-beam STAP clutter environments Linear algebra (numerical analysis) auxiliary channels multiple input multiple output radar correlation methods signal-to-interference–noise ratio maximum cross correlation energy Radar equipment, systems and applications array performance Signal detection covariance matrices SINR computation complexity array signal processing space time adaptive processing radar clutter computational complexity clutter covariance matrix beamspace reduced-dimension airborne radar MIMO radar

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