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检索条件"主题词=Filtering algorithms"

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Improving the Power Quality of the Grid-Connected PV System Using a High Selective Self Tuning Filter

Improving the Power Quality of the Grid-Connected PV System ...

引用

Electrical Engineering and Automatic Control (ICEEAC), International Conference on

作者： A. Zorig M. Souilah N. Hamouda B. Babes H. Amar Laboratory of Electrical Engineering(LGE) University Med Boudiaf of M'Sila M'Sila Algeria Research Center in Industrial Technologies CRTI Algiers Algeria

ISBN: (数字)9798350349740

ISBN: (纸本)9798350349757

This paper proposes a double stage grid connected photovoltaic system for feeding a nonlinear load by using a shunt active power filter (APF), and ensuring in the same time a power factor correction at the Ac main, on the grid side, a perturbation and observation control is used to extract the maximum power point tracking (MPPT) from the photovoltaique generator (GPV) under changing of solar irradiance. On the other hand, an improved algorithm of instantaneous active and reactive power (PQ) is applied, based on high selective self tuning filter (STF), to extract the harmonic reference used to generate the switching signal of APF to generate the filter current via a hysteresis current control and injected them in the common coupling point at the Ac main network. In addition, it can inject excess active power generated into grid, thereby improving the power factor of the public distribution network. The proposed system and its designed control scheme are examined in response to variations in load and solar irradiation and under unbalanced grid voltage. The simulation outcomes demonstrate that the proposed system facilitates adaptable adjustment of real power exchanges with the grid, maintaining a high power factor during operation. Additionally, the total harmonic distortion (THD) of the grid current remains below 5%, aligning with the IEEE-519 standard.

关键词： Maximum power point trackers Reactive power Power filters filtering algorithms Active filters Harmonic analysis filtering theory

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Towards an efficient tourism recommendation system using multi-objective evolutionary optimization

Towards an efficient tourism recommendation system using mul...

引用

International Conference on Control, Automation and Diagnosis (ICCAD)

作者： Fatima Ezzahra Zaizi Sara Qassimi Said Rakrak L2IS FSTG Cadi Ayyad University Marrakesh Morocco

ISBN: (数字)9798350361025

ISBN: (纸本)9798350361032

The Recommendation System (RS) serves as a technology delivering precise suggestions to users. However, focusing only on recommendation accuracy proves insufficient, given the diverse requirements of users. In addressing this limitation, our paper introduces a collaborative filtering recommendation model based on multi-objective optimization. This model concurrently optimizes accuracy, diversity, novelty, and coverage of recommendations. Using a multi-objective evolutionary algorithm, the proposed approach is evaluated using a substantial dataset of tourism destination recommendations in Indonesia. The results highlight its capability not only to enhance accuracy recommendations but also to offer commendable performance in coverage and diversity criteria. Our experimental results demonstrate the increased effectiveness of the recommendation approach over conventional user-based collaborative filtering methods. This highlights its ability to enhance the overall recommendation experience by considering multiple objectives to meet diverse user needs in a comprehensive approach.

关键词： Accuracy Automation Collaborative filtering Focusing Evolutionary computation filtering algorithms Recommender systems

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Adaptive Asymptotic Tracking Control of Strict-Feedback Nonlinear Parameterized Systems

Adaptive Asymptotic Tracking Control of Strict-Feedback Nonl...

引用

Chinese Automation Congress (CAC)

作者： Yanli Liu Hongjun Ma Zhiyao Ma School of Marine Electrical Engineering Dalian Maritime University Dalian China School of Automation Science and Engineering South China University of Technology Guangzhou China College of Science Liaoning University of Technology Jinzhou China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

In this paper, an adaptive control tactic is designed for a class of nonlinear systems with nonconvex parameterization by using the backstepping method. During the backstepping control process, an improved nonlinear filter with a compensation term is introduced to deal with the repetitive differentiation problem of the designed virtual controllers, which removes the boundary layer error simultaneously. The nonconvex pa-rameterized terms are discussed in light of the extensions of explicit realizability assumptions. Under the constructed control algorithms, the bound ness of all signals in the closed-loop system is proved, and the tracking error can reach 0 as time approaches to infinity. Finally, the effectiveness of the proposed method is demonstrated through a simulation example.

关键词： Fault tolerance Backstepping Control design Simulation Fault tolerant systems Process control Nonlinear filters filtering algorithms Nonlinear systems Adaptive control

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IVCM Image Enhancement Based on Improved Guided Filter

IVCM Image Enhancement Based on Improved Guided Filter

引用

Algorithm, Image Processing and Machine Vision (AIPMV), International Conference on

作者： Wen Qiao Fang Wang Hua Yu Jiying Gao Taiyuan University of Technology Machine Vision Taiyuan Shanxi Province China Department of Cornea Shanxi Eye Hospital Taiyuan Shanxi Province China

ISBN: (数字)9798350390254

ISBN: (纸本)9798350390261

In order to improve the low-quality of manually captured IVCM(In Vivo Confocal Microscopy, IVCM)images, this paper proposes an IVCM image matching algorithm with guided filter enhancement based on meanshift clustering. Firstly, the original IVCM image is clustered and segmented using the meanshift algorithm, and the segmented image is used as the guiding image to realize the guided filter enhancement of the image; secondly, the key points of the neural texture of the IVCM image are extracted by the SIFT(scale-invariant feature transform)algorithm; finally, the two-step matching method is used to realize the matching of the two IVCM images. After experiments, it is proved that the proposed algorithm in this paper can extract the key information of the neural texture in the IVCM image more effectively and improve the accuracy of image alignment.

关键词： Matched filters Image segmentation Accuracy Image matching Clustering algorithms Object segmentation filtering algorithms Feature extraction Information filters Image enhancement

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Optimal Preprocessing of Raw Signals from Reflective Mode Photoplethysmography in Wearable Devices 43

Optimal Preprocessing of Raw Signals from Reflective Mode Ph...

引用

43rd Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (IEEE EMBC)

作者： Wolling, Florian Wasala, Sudam Maduranga Van Laerhoven, Kristof Univ Siegen Ubiquitous Comp Siegen Germany

ISBN: (纸本)9781728111797

The optical measurement principle photoplethysmography has emerged in today's wearable devices as the standard to monitor the wearer's heart rate in everyday life. This cost-effective and easy-to-integrate technique has transformed from the original transmission mode pulse oximetry for clinical settings to the reflective mode of modern ambulatory, wrist-worn devices. Numerous proposed algorithms aim at the efficient heart rate measurement and accurate detection of the consecutive pulses for the derivation of secondary features from the heart rate variability. Most, however, have been evaluated either on own, closed recordings or on public datasets that often stem from clinical pulse oximeters in transmission instead of wearables' reflective mode. Signals tend furthermore to be preprocessed with filters, which are rarely documented and unintentionally fitted to the available and applied signals. We investigate the influence of preprocessing on the peak positions and present the benchmark of two cutting-edge pulse detection algorithms on actual raw measurements from reflective mode photoplethysmography. Based on 21806 pulse labels, our evaluation shows that the most suitable but still universal filter passband is located at 0.5 to 15.0 Hz since it preserves the required harmonics to shape the peak positions.

关键词： Optical filters Pulse measurements Wearable computers filtering algorithms Benchmark testing Optical variables measurement Photoplethysmography

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Research on Kinect Segmentation Algorithm Based on Pig Point Cloud

Research on Kinect Segmentation Algorithm Based on Pig Point...

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Signal Processing and Intelligent Computing (SPIC), International Conference on

作者： Lijuan Qin Qingtang Wang Xinyu He Ting Wang School of Information Science and Engineering Shenyang Ligong University Shenyang China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Science Shenyang China

ISBN: (数字)9798350368888

ISBN: (纸本)9798350368895

Since arrival of new era of socialism with Chinese characteristics, living standards and quality of life of people have gradually improved. Farmers hope to obtain physical signs of livestock without causing stress reactions, and this demand is gradually increasing. Moreover, animal protection personnel hope to gradually increase requirement for measuring physical characteristics of animals without disturbing them. Therefore, method proposed in this article enables breeders and animal protection personnel to achieve hope of non-contact measurement to obtain animal signs. Contactless measurement has always been one of main research directions in machine vision, using point cloud segmentation method to filter out background point cloud ground and railing of pigs under complex conditions. Point cloud segmentation is a prerequisite for all basic applications, not only for point cloud reconstruction but also for segmentation and classification applications. In point cloud segmentation, a random sampling consensus algorithm (RANSAC) combined with conditional Euclidean clustering segmentation algorithm is proposed. Using single choice point cloud segmentation to divide entire point cloud into two parts, effectively obtaining target point cloud information.

关键词： Point cloud compression Signal processing algorithms Clustering algorithms Object segmentation Consensus algorithm filtering algorithms Classification algorithms Personnel Protection Stress

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OCC-VO: Dense Mapping via 3D Occupancy-Based Visual Odometry for Autonomous Driving

OCC-VO: Dense Mapping via 3D Occupancy-Based Visual Odometry...

引用

IEEE International Conference on Robotics and Automation (ICRA)

作者： Heng Li Yifan Duan Xinran Zhang Haiyi Liu Jianmin Ji Yanyong Zhang School of Computer Science and Technology University of Science and Technology of China Hefei China

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Visual Odometry (VO) plays a pivotal role in autonomous systems, with a principal challenge being the lack of depth information in camera images. This paper introduces OCC-VO, a novel framework that capitalizes on recent advances in deep learning to transform 2D camera images into 3D semantic occupancy, thereby circumventing the traditional need for concurrent estimation of ego poses and landmark locations. Within this framework, we utilize the TPV-Former to convert surround view cameras’ images into 3D semantic occupancy. Addressing the challenges presented by this transformation, we have specifically tailored a pose estimation and mapping algorithm that incorporates Semantic Label Filter, Dynamic Object Filter, and finally, utilizes Voxel PFilter for maintaining a consistent global semantic map. Evaluations on the Occ3D-nuScenes not only showcase a 20.6% improvement in Success Ratio and a 29.6% enhancement in trajectory accuracy against ORB-SLAM3, but also emphasize our ability to construct a comprehensive map. Our implementation is open-sourced and available at: https://***/USTCLH/OCC-VO.

关键词： Three-dimensional displays Accuracy Simultaneous localization and mapping Heuristic algorithms Semantics filtering algorithms Cameras

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Active Control for Resonance Mitigation in Electric Drive Applications

Active Control for Resonance Mitigation in Electric Drive Ap...

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International Symposium on Industrial Electronics (INDEL)

作者： Emelie Berglund Johan Borg Jonny Johansson Dept. of Computer Science Electrical and Space Engineering Luleå University of Technology Sweden

ISBN: (数字)9798350352320

ISBN: (纸本)9798350352337

The use of inverter-based motor controllers that can generate fast voltage level transitions is increasing in the field of electric drive systems because of their ability to achieve higher efficiency. However, the fast voltage transitions, dv/dt's, are prone to generate bearing currents and cause overvoltages that may harm the electric motor. An LC filter applied between the inverter and the motor terminals can reduce the dv/dt's. However, the LC filter will cause overvoltage due to resonance but this can be overcome by introducing an extra pulse at each pulse-width modulation (PWM) transition. The timing of this extra pulse is crucial for suppressing the resonance, but due to nonlinearities in a real system, the time instants may vary over time and are thus in need of control. In this study, an analytical expression for the optimal pulse location and duration is derived and we propose a control algorithm that continuously calculates the optimal pulse switch time instants based on the measured output voltage. The control algorithm can handle sudden system disturbances and a Monte Carlo simulation is performed to evaluate the performance of the algorithm. This hybrid filter successfully reduces dv/dt's at the motor terminals while simultaneously eliminating overvoltages due to the filter resonance.

关键词： Voltage measurement Monte Carlo methods Heuristic algorithms filtering algorithms Pulse width modulation Resonance Inverters Timing Surges Voltage control

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WOA based Optimal TIDF Controller for Time Delayed System

WOA based Optimal TIDF Controller for Time Delayed System

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IEEE Power India Conference

作者： Vineet Kumar Renu Sharma Department of Electrical and Electronics Engineering MITS Madanapalle Department of Electrical Engineering SOA University Odissa

ISBN: (数字)9798350367065

ISBN: (纸本)9798350367072

This manuscript presents a novel methodology to effectively control time-delayed systems. In this work, authors have proposed a Whale Optimization Algorithm (WOA) tuned Tilt Integral Derivative Controller with Derivative Filter (TIDF) specifically designed for regulating time-delayed systems characterized by 4th order dynamics. The efficacy of the proposed method has been thoroughly verified by comparing its transient response specifications with those of existing approaches documented in the literature. This comparative analysis demonstrates that the WOA-tuned TIDF controller offers superior performance in terms of transient response, highlighting its suitability for the intended application. Additionally, the robustness of the proposed algorithm has been rigorously tested under conditions involving variable time delays, which are a common and challenging aspect of real-world systems. The results of these tests indicate that the WOA-tuned TIDF controller not only achieves a better transient response but also maintains stability and robustness across different scenarios. Consequently, the proposed methodology provides a reliable and effective solution for controlling time-delayed systems, ensuring both enhanced performance and resilience in various industrial and technological applications.

关键词： Transient response Heuristic algorithms Delay effects filtering algorithms Control systems Whale optimization algorithms Robustness Stability analysis Transient analysis Testing

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AI-assisted Digital Terrain System for an Advanced Jet Trainer

AI-assisted Digital Terrain System for an Advanced Jet Train...

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Conference on Digital Avionics Systems (DASC)

作者： Umit Can Bekar Bilgehan Tanyeri Alp Seyhun Canoglu Ibrahim Enes Uslu Nuri Arda Gungor Gokhan Inalhan Turkish Aerospace Istanbul Turkey Cranfield University Bedford United Kingdom

ISBN: (数字)9798350349610

ISBN: (纸本)9798350349627

This work focuses on the design of an artificial intelligence (AI)-assisted Digital Terrain System (DTS) for an advanced jet trainer. The DTS employs an advanced terrain server, a digital elevation map, and an efficient line-of-sight algorithm. The system utilizes a tuned search algorithm and three filter designs, including adaptive filters and a point mass filter, to adaptively trade-off between navigation accuracy and operating efficiency. Search algorithms such as TERCOM are known to be very compute intensive, running it continuously would require specialized or dedicated hardware on board. The AI model has the ability to independently switch between the search algorithm and bank of filters preserving navigation accuracy, while enabling real-time onboard implementation. Monte Carlo simulations shows that the proposed DTS can enable the low flying advanced jet trainer to perform terrain aided navigation without imposing new system requirements.

关键词： Accuracy filtering Simulation Adaptive filters Switches filtering algorithms Aircraft navigation Real-time systems Servers Artificial intelligence

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