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A Novel control Strategy of Energy Storage System Considering Prediction Errors of Photovoltaic Power

A Novel Control Strategy of Energy Storage System Considerin...

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international conference on control, automation, robotics and vision (ICARCV)

作者： Fang Liu Bo Hu Ranran Li Yong Li School of Information Science and Engineering Central South University Changsha Global Energy Interconnection Development and Coonertaion Orzanization Beijing China College of Electrical and Information Engineering Hunan University Changsha China

the photovoltaic (PV) energy, as clean and renewable energy, has become increasingly important. With energy storage system, the PV power can become schedulable and the use efficiency of PV power can be greatly improved. the tracking output is one of the running modes for energy storage to adjust the PV power generation. However, the research on the tracking output do not consider the fluctuation of PV power generation, the upper and lower limits of prediction errors, or only consider tracking the power curve. In this paper, a novel control method is proposed based on the super short-term prediction PV power and the prediction errors distribution law to obtain the charge and discharge strategy for energy storage ahead. In this control method, the objective function includes three parts, respectively the D-value between the planned output and actual output of PV power and energy storage system, the change of the state of charge (SOC) with different weight, the constraint condition considers the power demand, flexibility requirement and storage costs comprehensive. then the prediction errors distribution law can be obtained by analyzing prediction errors of the PV power, the proper errors correction parameters can be selected according to the law to get a more accurate predication range and make the energy storage scheduling strategy more flexible. the particle swarm optimization (PSO) algorithm is used to get the optimal charge and discharge power strategy in advance. With the data collected from typical PV power station as an example, the simulation results verify the feasibility and flexibility of the proposed strategy, it also provides effective reference scheme for day-ahead control of battery energy storage systems.

关键词： Forecasting Power generation Energy storage Discharges (electric) State of charge Computer aided software engineering Fluctuations

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Driving-PASS: An Automatic Driving Performance Assessment System for Stroke Drivers Based on ANN and SVM

Driving-PASS: An Automatic Driving Performance Assessment Sy...

引用

international conference on control, automation, robotics and vision

作者： Sanghoon Jeon Joonwoo Son Myoungouk Park Bawul Kim Sang Hyuk Son Yongsoon Eun Department of Information and Communication Engineering DGIST Republic of Korea HumanLab DGIST Republic of Korea

Although many stroke survivors are not fully capable of driving, they drive again without any formal assessment due to an absence of valid screening tools. this leads to an elevated risk of accidents. Although an on-road test is considered a standard assessment method for items relevant to actual driving, it may be dangerous to evaluate all stroke drivers with the on-road test. For safe pre-screening of unsuitable stroke drivers, we propose an automatic Driving Performance Assessment System for Stroke drivers (Driving-PASS). Driving-PASS aims to provide not only information about problematic driving assessment items but also a decision about fitness to drive. the problematic driving items are classified by abnormal classifiers while the decision item is determined by a decision classifier in Driving-PASS. For designing the system, we firstly propose a subjective assessment method consisting of ten assessment items and one decision item. And then, we propose an automated method of the subjective assessment method with a machine learning approach (i.e., ANN and SVM) by using assessment criteria from five expert's judgments. Evaluation results demonstrate that Driving-PASS automatically assess not only the ten assessment items (total average Accuracy of 90% and F1-score of 88%) but also the decision item (Accuracy of 93% and F1-score of 92%). We expect Driving-PASS provides analytical assessment results that can be used in driving rehabilitation programs and contributes to reducing the risk of vehicle accidents by pre-screening unsuitable stroke drivers with high accuracy and reliability.

关键词： Vehicles Velocity control Machine learning Measurement Standards Road transportation

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Circuit Tolerance Design Using an Improved Genetic Algorithm

Circuit Tolerance Design Using an Improved Genetic Algorithm

引用

international conference on control, automation, robotics and vision (ICARCV)

作者： Jinn-Tsong Tsai Jyh-Horng Chou Department of Computer Science National Ping Tung University of Education Ping Tung Taiwan Institute of System Information and Control National Kaohsiung First University of Science and Technology Kaohsiung Taiwan

In this paper, we present an improved genetic algorithm to solve the worst-case circuit tolerance design problem, which has many design parameters and constraints. the evolutionary design approach, which is called a quality-engineering-based genetic algorithm (QEGA), with a penalty function is proposed for solving the constrained optimization problem. the QEGA approach is able to explore a wide design parameter space without any prior knowledge about position and size of the region of acceptability. the QEGA approach is a method of combining the traditional genetic algorithm (TGA), which has a powerful global exploration capability, with the quality engineering method, which can exploit the optimum offspring. the quality engineering method is inserted between crossover and mutation operations of the TGA. then, the systematic reasoning ability of the quality engineering method is incorporated in the crossover operations to select the better genes to achieve crossover, and consequently enhance the genetic algorithms. therefore, the QEGA approach can be more robust and quickly convergent. In the worst-case circuit tolerance design problem, the vertex analysis has been used to check the feasibility of any candidate tolerance region. For this reason, if, as for a large part of cases, the region of acceptability is convex and simply connected, the QEGA approach ensures an optimal design with 100% yield. the proposed QEGA approach with a penalty function is effectively applied to solve the worst-case circuit tolerance design problem. the computational experiments also show that the presented QEGA approach can obtain better results than previous design methods

关键词： Circuits Algorithm design and analysis Genetic algorithms Power engineering and energy Genetic engineering Constraint optimization Design optimization Genetic mutations Robustness Design methodology

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Containment control of second-order multi-agent systems via asynchronous sampled-data control

Containment control of second-order multi-agent systems via ...

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international conference on control, automation, robotics and vision (ICARCV)

作者： Hongjian Chen Lulu Chen Jinliang Shao Glasgow college University of Electronic Science and Technology of China Sichuan P. R. China School of Automation Engineering University of Electronic Science and Technology of China Sichuan P. R. China Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen P. R. China

ISBN: (数字)9781728177090

ISBN: (纸本)9781728177106

this paper formulates and solves an asynchronous sampled-data containment control problem of second-order multi-agent systems, in which each agent only receives the neighbors' information at certain sampling instants determined by its own clock, not all sampling instants. It is not assumed that the time sequence in which each agent receives its neighbors' information is evenly spaced. A distributed containment control protocol in the asynchronous sampled-data setting is designed. Main research tools, including nonnegative matrix theory and the composite of binary relation, are used to derive a necessary and sufficient condition guaranteeing that all the followers asymptotically converge to a convex hull formed by the static leaders. An example is provided to demonstrate the effectiveness of our theoretical result.

关键词： Multi-agent systems Sensors Clocks Vehicle dynamics Sensor systems Protocols Mathematical model

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the bielefeld anthropomorphic robot head “Flobi”

The bielefeld anthropomorphic robot head “Flobi”

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IEEE international conference on robotics and automation (ICRA)

作者： Ingo Lütkebohle Frank Hegel Simon Schulz Matthias Hackel Britta Wrede Sven Wachsmuth Gerhard Sagerer Applied Informatics Group Bielefeld University Germany Central Lab Facilities Bielefeld University Germany Mabotics GmbH Germany

A robot's head is important both for directional sensors and, in human-directed robotics, as the single most visible interaction interface. However, designing a robot's head faces contradicting requirements when integrating powerful sensing with social expression. Furher, reactions of the general public show that current head designs often cause negative user reactions and distract from the functional capabilities. therefore, this contribution presents a novel anthropomorphic robot head called "Flobi", which combines state-of-the-art sensing functionality with an exterior that elicits a sympathetic emotional response. It can display primary and secondary emotions in a human-like way, to enable intuitive human-robot-interaction. To facilitate further research on facial appearance, the exterior is fully modular and replaceable. While current state-of-the-art still requires trade-offs when integrating sensing and social expression, Flobi has been designed to enable service robotic applications, with high-resolution, wide-angle stereo vision, gyroscope motion compensation and stereo audio. For ease of integration, the head is self-contained, including 18 actuators, sensors and control boards, all in a human-head sized package.

关键词： Anthropomorphism Robot sensing systems Human robot interaction Displays Robot vision systems Stereo vision Gyroscopes Motion compensation Actuators Size control

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Integration of Industrial automation and IoT Devices on the Example of the Assembly Station with the Astorino Educational Robot 4th

Integration of Industrial Automation and IoT Devices on the ...

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4th international conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2023

作者： Ćwikla, Grzegorz Kalinowski, Krzysztof Kciuk, Marek Gold, Michal Waluśkiewicz, Marek Sladek, Michal Tlolka, Jaroslaw Woźnica, Robert Wlazlo, Aleksander Faculty of Mechanical Engineering Silesian University of Technology Konarskiego 18A Gliwice44-100 Poland Faculty of Electrical Engineering Silesian University of Technology Akademicka 10A Gliwice44-100 Poland Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 16 Gliwice44-100 Poland

ISBN: (纸本)9783031442810

the article presents an automated assembly station designed by students as part of Project Based Learning. the task of the project was to familiarize with the issues of integration of automation and control elements operating in various standards in order to implement the idea of Industry 4.0. the main elements of the station are the Astorino educational robot, gripper, servo drive and other professional elements of industrial automation and IoT systems. Raspberry PI, microcontrollers, etc. are also used. the assembly process of the product in the configuration in accordance with the user’s order is carried out at the station, quality control is carried out during the process using a vision system and various sensors. © 2024, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Data acquisition

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Using a knowledge base in manipulator control by calibration-free stereo vision

Using a knowledge base in manipulator control by calibration...

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IEEE international conference on Intelligent Processing Systems, ICIPS

作者： Qiang Xie V. Graefe K. Vollmann Institute of Measurement Science Federal Armed Forces University Munich Neubiberg Germany

A 4 dimensional knowledge base that may be used as the long term memory for object manipulation by a completely uncalibrated vision guided robot is introduced. It is constructed automatically by the robot during its normal operation and adapts itself to changing conditions. thus, the system presents self learning characteristics. the knowledge base has been successfully tested in real world experiments involving the grasping of objects.

关键词： robotics and automation Manipulators Automatic control Robot vision systems Testing

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A supervised neural network approach to invariant image recognition

A supervised neural network approach to invariant image reco...

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international conference on control, automation, robotics and vision (ICARCV)

作者： K. Sookhanaphibarn T. Raicharoen C. Lursinsap Faculty of Information Technology Dhurakij Pundit University Bangkok Thailand Advanced Virtual and Intelligent Computing Center Chulalongkom University Bangkok Thailand

Invariant image recognition is one of the hardest problems in computer vision. the aim is to identify an image independently of its rotational orientation and size, as well as changing its color intensity. the current techniques such as high-ordered neural network and Zernike moments are not practical to apply to color images of size at least 256 /spl times/ 256 pixels. this paper introduces a novel recognition system, which has less computational time and space than the current techniques. Most implementations for finding machine classifiers are the multi layer perceptron (MLP) of which drawbacks lead to its costly training time and its slow learning behavior. the proposed system builds the classification function based on the concept of support vector machine (SVM) without kernel function of k-NN, called critical support vector machine (CSVM). CSVM is better generalization ability in terms of accuracy rate and lower complexity in terms of computational time and space. In part of invariance, the paper develops the rotational and scaling invariant self-organizing mapping (RSISOM), which composes the Kohonen's learning concept and principle component analysis. RSISOM can capture the features of color images invariant to rotation, scaling and color intensity. In experiment, the proposed system is tested against different 34 colored images with 98.2 % of the correct classification.

关键词： Neural networks Image recognition Support vector machines Support vector machine classification Color Computer vision Pixel Machine learning Kernel System testing

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An active embedded stereo vision system with IR filters for robust indoor localization

An active embedded stereo vision system with IR filters for ...

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2012 9th IEEE international conference on Mechatronics and automation, ICMA 2012

作者： Chen, Xiaopeng Pan, Min Wang, ZhanTao Meng, Fei Bao, Han Ni, Wencheng Key Laboratory of Robots and Systems Ministry of Education China Intelligent Robotics Institute School of Mechatronic Engineering Beijing Institute of Technology Beijing 100081 China Measurement Technology Beijing Aerospace Institute for Metrology and Measurement Technology Beijing 100081 China

ISBN: (纸本)9781467312776

In this paper, an active embedded stereo vision system with IR filters is proposed for robust three-dimensional localization. In the system, ordinary cameras with infrared (IR) filters are used instead of expensive IR cameras. IR filtered images could be easily transferred to binary image with low noises. Two control servos do contribution to the pan-tilt movement of the stereo pair. A global search algorithm is then proposed for rapid object localization. Experiments show that the system has a good performance on object localization. © 2012 IEEE.

关键词： Binary images

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Automatic verification of hybrid systems: an audio control protocol

Automatic verification of hybrid systems: an audio control p...

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Computer Science Society (SCCC) international conference Chilean FLAGGED

作者： L.R.S. Abbate Instituto de Computación Universidad de la República Montevideo Uruguay

the work is concerned with formal approaches to specification and verification for a better development in systems design. Automatic verification is a solution for validating highly critical systems, like controlling robots or supervising electronical devices. Important efforts have been realized in industry and education for supporting its development. Nevertheless, technical problems keep arising due to the size of specifications, in some cases requiring too much effort to obtain some results. We present the specification of the EEL communication protocol, used by Phillips in its audio components. this protocol verifies the correct communication between an audio system and its remote control, and is a typical case for studying hybrid systems. Hybrid systems are specified by finite automata enriched with a set of real variables. Properties to prove are usually written in some temporal logic. Automatic verification tools solve the "model checking" problem: does property /spl pi/ hold in system S?. To solve difficulties associated to the size of systems, different tools have implemented techniques such as symbolic model checking, "on the fly" analysis, modularization and clock reduction. We believe that there are still ways to improve these tools: diminish redundancy in modelling, optimization for data management and storage, randomization of algorithms.

关键词： Automatic control control systems Protocols Communication system control Robot control Service robots robotics and automation Electrical equipment industry Audio systems Automata

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