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Chinese Automation Congress (CAC)

作者： Guo, Yicong Liu, Xiaoxiong Zhang, Weiguo Liu, Xuhang Yang, Yue Northwestern Polytech Univ Sch Automat Xian Peoples R China

ISBN: (纸本)9781728140940

Considering the collision-prone problem near the initial point, goal nonreachable with obstacle nearby (GNWON) and the chattering problem of the traditional artificial potential field algorithm(TAPF), the attractive potential field function and the repulsive potential field function are improved respectively, and an improved adaptive artificial potential field algorithm(AAPF) is proposed. The algorithm can calculate the different potential field of each path point on-line in real time. On this basis, a 2D improved adaptive artificial potential field algorithm is extended to 3D space for autonomous obstacle avoidance planning of quadrotor UAV. A 3D obstacle model is established, and the principle of obstacle avoidance at the nearest contact point is designed to calculate the repulsive potential field. Then the obstacle avoidance planning strategy of Four-rotor UAV based on 3D adaptive potential field algorithm is designed. The simulation results show that the improved adaptive algorithm effectively compensates for the shortcomings of the traditional artificial potential field method and can be applied in 3D.

关键词： artificial potential field obstacle avoidance planning 3D quadrotor UAV adaptive algorithm

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Online Estimation of Aircraft Flow Angles in Turbulent Atmosphere

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IFAC-PapersOnLine 2020年第1期53卷 597-601页

作者： Majeed Mohamed Nidhin Joy Principal Scientist Flight Mechanics and Control Division CSIR-National Aerospace Laboratories Bangalore 560017 India M.Tech Student College of Engineering Trivandrum Trivandrum

The estimation of accurate values of aircraft flow angles namely angle of attack (AOA) and angle of sideslip (AOSS) is a crucial step in the safe flight operation and aircraft modeling. The airdata measurement is solely dependent on the data from sensors installed on aircraft, and such sensor data is prone to errors due to flow distortion at aircraft body and sensor misalignment. Further, the online estimation of airdata measurement is more cost-effective and is of more relevance in autonomous flight applications. This work focuses on the online estimate of aircraft flow angles in the presence of atmospheric turbulence using an adaptive sequential estimation algorithm. The proposed estimator has the potential to accurately estimate the AOA and AOSS even in the adverse effect of external disturbance like atmospheric turbulence.

关键词： Extended Kalman filter adaptive algorithm noise covariance matrix state estimation atmospheric turbulence

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Behavior of Protective Relays During Subsynchronous Resonance in Transmission Line and Adaptation of Generator Out-of-Step Protection

Behavior of Protective Relays During Subsynchronous Resonanc...

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17th IEEE International Conference on Environment and Electrical Engineering (IEEE EEEIC) / 1st IEEE Industrial and Commercial Power Systems Europe Conference (IEEE I and CPS Europe)

作者： Rezaei, Salman Kerman Power Generat Management Co Rafsanjan *** Iran

Subsynchronous resonance (SSR) is a phenomenon in which electrical energy is exchanged between the generator and the transmission system below power frequency. SSR occurs due to the interaction of a series-compensated transmission line with a generator. It results in shaft oscillation and out-of-step (OOS) condition. During SSR, the magnitude of voltage and current is increased. It also increases probable occurrence of ferroresonance. It is obviously clear that protective relays are affected in such conditions. In this article, Manitoba Hydro electrical network is examined with series capacitors by PSCAD/EMTDC to investigate the impact of SSR on the operation of different types of protective relays. SSR is mostly concerned with transmission lines. In addition, swing characteristic of impedance during SSR causes activation of the OOS blocking (OSB) element of distance relay and OOS protection of generator. Hence, an adaptive algorithm based on subharmonic measurement and ferroresonance analysis in the time domain is proposed for OOS characteristic of generator protective relay to recognize SSR condition and make a decision on behavior of the function. Finally, the algorithm is examined in SSR condition to certify the correct operation.

关键词： adaptive algorithm Manitoba Hydro out-of-step (OOS) characteristic power oscillation protective relays PSCAD/EMTDC series compensation subsynchronous resonance (SSR)

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An adaptive scheme for diffuse-optical tomography, based on combined structured-light illumination and single-pixel camera detection 7

An adaptive scheme for diffuse-optical tomography, based on ...

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Conference on Diffuse Optical Spectroscopy and Imaging VII held at European Conferences on Biomedical Optics

作者： Farina, Andrea Betcke, Marta Bassi, Andrea Valentini, Gianluca Arridge, Simon D'Andrea, Cosimo CNR Ist Foton & Nanotecnol Piazza Leonardo da Vinci 32 I-20133 Milan Italy UCL Ctr Med Image Comp Malet Pl London WC1E 6BT England Politecn Milan Dipartimento Fis Piazza L da Vinci 32 I-20133 Milan Italy Ist Italiano Tecnol Ctr Nano Sci & Technol PoliMi I-20133 Milan Italy

ISBN: (数字)9781510628427

ISBN: (纸本)9781510628410;9781510628427

Diffuse Optical Tomography (DOT) is a tool for 3D reconstruction of absorption and scattering inside a tissue. Typically, this method requires a dense distribution of sources and detectors, thus hampering the possibility of fully exploring a time-resolved detection. Recently, techniques based on structured-light illumination and compressing detection have been developed, opening the possibility of fully exploiting a source/detector spatial modulation for compression at the measurement stage. Here we propose a combined Continuous-Wave (CW) and time-domain (TD) adaptive scheme based on the singular-value decomposition (SVD) for optimal-patterns calculation. Patterns are firstly computed based on a fast acquisition via a CCD, and consequently projected for time-resolved measurements.

关键词： Diffuse Optical Tomography structured light adaptive algorithm time-resolved compressive sensing singular-value decomposition

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Convex Combination Recursive Even Mirror Fourier Nonlinear Filter for Nonlinear Active Noise Control 22

Convex Combination Recursive Even Mirror Fourier Nonlinear F...

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22nd International Conference on Electrical Machines and Systems (ICEMS)

作者： Guo, Xinnian Jiang, Jean Chen, Jungan Du, Sidan Tan, Lizhe Huaiyin Inst Technol Fac Elect Informat Engn Huaian 223003 Peoples R China Purdue Univ Northwest Coll Technol Westville IN 46391 USA Zhejiang Wanli Univ Coll Elect Informat Ningbo 315100 Peoples R China Nanjing Univ Sch Elect Sci & Engn Nanjing 210023 Peoples R China Purdue Univ Northwest Dept Elect Engn Westville IN 46391 USA

ISBN: (纸本)9781728133980

This paper proposes an improved recursive even mirror Fourier nonlinear filter via a convex combination of feedforward and feedback subsections for nonlinear active noise control (NANC). This proposed convex combination filter and associated algorithm can alleviate the compromise between convergence speed and steady state error. Simulations validate that the proposed convex combination filter equipped with the associated algorithm exhibits satisfied convergence speed and steady-state error.

关键词： Active noise control adaptive filter adaptive algorithm convex combination recursive even mirror Fourier nonlinear filter

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A Parallel adaptive Swarm Search Framework for Solving Black-Box Optimization Problems 32nd

A Parallel Adaptive Swarm Search Framework for Solving Black...

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32nd International Conference on Computer Architecture (ARCS)

作者： Shuka, Romeo Brehm, Juergen Leibniz Univ Hannover Inst Syst Engn Hannover Germany

ISBN: (纸本)9783030186562;9783030186555

This paper presents a framework to support parallel swarm search algorithms for solving black-box optimization problems. Looking at swarm based optimization, it is important to find a well fitted set of parameters to increase the convergence rate for finding the optimum. This fitting is problem dependent and time-consuming. The presented framework automates this fitting. After finding parameters for the best algorithm, a good mapping of algorithmic properties onto a parallel hardware is crucial for the overall efficiency of a parallel implementation. Swarm based algorithms are population based, the best number of individuals per swarm and, in the parallel case, the best number of swarms in terms of efficiency and/or performance has to be found. Data dependencies result in communication patterns that have to be cheaper in terms of execution times than the computing in between communications. Taking all this into account, the presented framework enables the programmer to implement efficient and adaptive parallel swarm search algorithms. The approach is evaluated through benchmarks and real world problems.

关键词： Particle Swarm Optimization Parallelization adaptive algorithm Optimization problems Interplanetary space trajectory

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adaptive BLIND SPARSE SOURCE SEPARATION BASED ON SHEAR AND GIVENS ROTATIONS 44

ADAPTIVE BLIND SPARSE SOURCE SEPARATION BASED ON SHEAR AND G...

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44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

作者： Lassami, Nacerredine Aissa-El-Bey, Abdeldjalil Abed-Meraim, Karim UBL CNRS UMR 6285 IMT AtlantiqueLab STICC F-29238 Brest France Univ Orleans PRISME F-45067 Orleans France

ISBN: (纸本)9781479981311

This paper addresses the problem of adaptive blind sparse source separation in the time domain of an over-determined instantaneous noisy mixture. A two-step approach is proposed: first, the data are projected on the signal subspace estimated using the principal subspace tracker FAPI. In the second step, an l(1) criterion is used to represent the sparsity property of the signal sources. For the optimization of this cost function, an adaptive method based on Givens and Shear rotations is used. This algorithm, referred to SGDS-FAPI, guarantees low computational complexity which is essential in the adaptive context. Numerical simulations have been performed, and showed that the proposed algorithm outperforms existing solutions in both convergence speed and estimation quality.

关键词： Blind source separation sparse signals adaptive algorithm Shear and Givens rotations

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Modified Least-Mean Mixed-Norm algorithms For adaptive Sparse System Identification Under Impulsive Noise Environment 42

Modified Least-Mean Mixed-Norm Algorithms For Adaptive Spars...

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42nd International Conference on Telecommunications and Signal Processing (TSP)

作者： Rakesh, Pogula Kumar, T. Kishore Albu, Felix Natl Inst Technol Warangal Dept Elect & Commun Engn Warangal Andhra Pradesh India Valahia Univ Targoviste Dept Elect Targoviste Romania

ISBN: (纸本)9781728118642

In this paper, new algorithms robust to a mix of Gaussian and impulsive noises that approximate an unknown sparse impulse response of an LTI system are proposed. They are using the sigmoid cost function and based on the Least-Mean Mixed-Norm (LMMN) adaptive algorithm. It is shown by simulations that the proposed sigmoid LMMN (SLMMN) algorithms that exploit sparsity-enforcing penalties achieve superior performance to other competing algorithms in the sparse system identification context.

关键词： adaptive algorithm impulsive noise least-mean mixed-norm sigmoidfunction sparse system identification

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Illumination Adaptation in a Multi-Wavelength Opto-Electronic Patch Sensor

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SENSORS 2020年第17期20卷 4734页

作者： Yan, Liangwen Yu, Yue Hu, Sijung Mulvaney, David Blanos, Panagiotis Alharbi, Samah Hayes, Matthew Shanghai Univ Sch Mechatron Engn & Automat Shanghai 200444 Peoples R China Loughborough Univ Sch Mech Elect & Mfg Engn Loughborough LE11 3TU Leics England Evonetix Ltd 9a Coldhams Business ParkNorman Way Cambridge CB1 3LH England

In capturing high-quality photoplethysmographic signals, it is crucial to ensure that appropriate illumination intensities are used. The purpose of the study was to deliver controlled illumination intensities for a multi-wavelength opto-electronic patch sensor that has four separate arrays each consisting of four light-emitting diodes (LEDs), the wavelength of the light generated by each array being different. The study achieved the following: (1) a linear constant current source LED driver incorporating series negative feedback using an integrated operational amplifier circuit;(2) the fitting of a linear regression equation to provide rapid determination of the LEDs driver voltage;and (3) an algorithm for the automatic adjustment of the output voltage to ensure suitable LED illumination. The data from a single centrally-located photo detector, which is capable of capturing all four channels of back-light in a time-multiplexed manner, were used to monitor heart rate and blood oxygen saturation. This paper provides circuitry for driving the LEDs and describes an adaptive algorithm implemented on a microcontroller unit that monitors the quality of the photo detector signals received in order to control each of the individual currents being supplied to the LED arrays. The study demonstrated that the operation of the new circuitry in its ability to adapt LED illumination to the strength of the signal received and the performance of the adaptive system was compared with that of a non-adaptive approach.

关键词： multi-wavelength opto-electronic patch sensor heart rate adaptive algorithm photoplethysmographic

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Observer-based Distributed Optimization for Linear Multi-agent Systems 31

Observer-based Distributed Optimization for Linear Multi-age...

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31st Chinese Control And Decision Conference (CCDC)

作者： Zhang, Yu Chen, Wenhai Gao, Lixin Wenzhou Univ Inst Intelligent Syst & Decis Wenzhou 325035 Peoples R China

ISBN: (纸本)9781728101057

This paper investigates the observer-based distributed optimization of multi-agent systems under undirected and connected interaction topology. Different from state-based multi-agent distributed optimization problem, it is assumed that the states of all agents can not be available directly. To solve the problem, a distributed adaptive observer-based distributed optimization algorithm is presented for the multi-agent systems. A state observer is adopted to estimate agent's state, and the gradient-based optimization term make the agent state converge to the optimal solution. Based on theory of Riccati equation and Lyapunov method, a distributed approach is proposed to construct the gain matrices, by which the constructed algorithm can make the system reach a consensus and minimize the team performance function. Finally, a simulation example is provided to illustrate our established result.

关键词： Distributed optimization Multi-agent system Linear system State observer adaptive algorithm

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