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A Safe Hierarchical control Scheme Incorporated with Constrained Deep Neural Networks

A Safe Hierarchical Control Scheme Incorporated with Constra...

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第三十九届中国控制会议

作者： Hongyuan Wang Jingcheng Wang Haotian Xu Shangwei Zhao Xiaocheng Li Yuanhao Shi Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai School of Electrical and Control Engineering North University of China

A methodology is proposed for the control design of hierarchical systems. The high layer makes a decision without knowing the overall systems dynamics precisely. This procedure is implemented by a deep neural network constructed ***, to handle the safe learning issue, an additional technique is developed to guarantee constraints satisfaction of the trained neural network. At the underlying layer, local model predictive control（MPC） controllers are designed to regulate the subsystems to follow the optimal trajectories derived from high layer. The sample data from lower layer is utilized as the training set of neural network in high layer. The efficacy of the presented algorithm is illustrated in a simulation example.

关键词： Hierarchical multilevel and multilayer control Energy Management Model Predictive control Deep Neural Network Safe Learning

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Sampled-Data Observer Design for Space-Varying Distributed Parameter systems

Sampled-Data Observer Design for Space-Varying Distributed P...

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第三十九届中国控制会议

作者： Zi-Peng Wang Huai-Ning Wu Tingwen Huang School of Electrical Engineering University of Jinan Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical EngineeringBeihang University Science Program Texas A&M University at Qatar

This paper considers the sampled-data observer design problem of space-varying distributed parameter systems（DPSs）. By utilizing a Lyapunov functional, a sampled-data observer design is developed by spatial linear matrix inequalities（SLMIs） to guarantee the exponential stability for the estimation error DPS. Furthermore, to solve SLMIs, the sampled-data observer design for space-varying DPSs is formulated as an LMI feasibility problem. Lastly, simulation results of a numerical example are provided to illustrate the effectiveness of the proposed method.

关键词： Sampled-data observer distributed parameter systems（DPSs） spatial linear matrix inequality（SLMI）

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Research on Demand Response Strategy of Integrated Energy system Based on Hybrid Particle Swarm Optimization with Roulette Wheel Operator

Research on Demand Response Strategy of Integrated Energy Sy...

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第33届中国控制与决策会议

作者： Shuying Ren Yan Zhao Tieyan Zhang Yuri Wang Lin Tong School of Elecrtic Power Shenyang Institute of Engineering School of Renewable Energy Shenyang Institute of Engineering Key Laboratory of Regional Multi-energy System Integration and Control Liaoning Province School of Automation and Electrical Engineering Shenyang Ligong University Huludao Power Supply Company State Grid Liaoning Electric Power Supply Co.Ltd.

As one of the core elements of the technology base of the smart energy industry,the comprehensive energy system standard plays a link and catalytic role in promoting China's energy equipment manufacturing,the safe and stable operation of power systems,and the industrialization of scientific and technological *** response can play an important role in the consumption of renewable energy in integrated energy *** paper establishes an objective function to minimize the cost of integrated energy system and optimize user power *** the multiple objective functions and constraints,the traditional single objective optimization model can no longer meet the present problem *** view of the demand response in the integrated energy system,a multi-objective optimization method,the hybrid particle swarm algorithm with roulette operator,is *** algorithm can make the game *** partial optimal solution is spread globally to find the optimal scheduling strategy.

关键词： Integrated energy Demand response Particle swarm optimization Multi-objective optimization and photovoltaic power generation

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Monocular Visual-Inertial Odometry Based on Point and Line Features

Monocular Visual-Inertial Odometry Based on Point and Line F...

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International Conference on Computer and Communications (ICCC)

作者： Gongyan Chen Hai Zhang Wenxing Fu Yiqun Qiao School of Automation Science and Electrical Engineering Beihang University Beijing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186368

In order to solve the problem that the point feature tracking is not robust enough to reduce the accuracy of the system in a low-texture environment, this paper proposes a visual inertial odometry system based on point-line features (PL-VINS). Firstly, the system improves the extraction and matching algorithm of line features to increase the speed and accuracy of the algorithm; then the line features are added to the front-end tracking and back-end optimization. Finally, the EuRoc public data set is used as the experimental object to prove the effectiveness of the algorithm.

关键词： Visualization Conferences Feature extraction Cameras Real-time systems Optimization Optical flow

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Joint Energy Trading and Scheduling for Multi-Energy microgrids with Storage

Joint Energy Trading and Scheduling for Multi-Energy microgr...

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第三十九届中国控制会议

作者： Dafeng Zhu Bo Yang Qi Liu Kai Ma Shanying Zhu Xinping Guan Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China School of Electrical Engineering Yanshan University

Considering that energy trading might not completely absorb excess renewable energy, we propose a multi-energy management framework including fuel cell vehicles, energy storage, combined heat and power system, and renewable energy to further realize the local absorption of renewable energy and enhance the economic benefits of microgrids. In order to reduce the influence of multi-energy coupling, stochastic renewable energy generation and energy demand, this paper designs a joint energy scheduling and trading algorithm based on Lyapunov optimization and a double-auction mechanism to optimize the long-term energy cost of each microgrid. Coupling with the auction mechanism is a dynamic, efficient energy trading and scheduling algorithm, which carefully decides the valuations of energy in the auction, optimally schedules energy, and judiciously purchases and sells energy on the current electricity prices. Simulations based on real data show that each individual microgrid, by carrying out the proposed algorithm, can achieve a time-averaged profit arbitrarily close to an optimum value while not compromising its own comfort.

关键词： Multi-energy microgrid energy storage energy trading Lyapunov optimization double-auction

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Online open-circuit fault detection and location utilizing estimated instantaneous amplitudes 11

Online open-circuit fault detection and location utilizing e...

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11th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes, SAFEPROCESS 2019

作者： Tao, Songbing Chai, Yi Liu, Bowen Jiang, Congmei Xu, Shuiqing Key Laboratory of Complex System Safety and Control Ministry of EducationCollege of Automation Chongqing University Chongqing400030 China College of Electrical Engineering and Automation Hefei University of Technology Hefei230009 China

ISBN: (纸本)9781728106816

As one of the most key parts of wind power generation systems (WPGSs), the grid-connected converter plays a significant role for energy conversion. It is meaningful to ensure the stability and safety of converters in WPGSs. In this paper, a novel signal processing based approach is proposed to detect and locate power switch failures in grid-connected converters of WPGSs, which is completely different from existing current based approaches. Based on the proposed weighted sliding Hilbert transform (WSHT) algorithm, instantaneous amplitudes of the three-phase output current can be estimated online without effects of the boundary problem. At last, simulation results demonstrate the effectiveness for open-circuit faults in the grid-connected converters. © 2019 IEEE.

关键词： Wind power

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Effect of O2 on Partial Discharge Characteristic of C5F10O/CO2 Gas Mixture

Effect of O2 on Partial Discharge Characteristic of C5F10O/C...

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Advanced electrical Equipment and Reliable Operation (AEERO), International Conference on

作者： Yalong Xia Fan Liu Zhuo Wei Xiaoxing Zhang Pu Han Song Xiao Zhen Li Yi Li Yalong Li State Grid Sichuan Electric Power Research Institute Cheng Du China School of Electrical Engineering and Automation Wuhan University Wuhan China Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System Hubei University of Technology Wuhan China

ISBN: (纸本)9781665402651

C 5 F 10 O, as a new eco-friendly gas insulating medium with great application potential, has attracted much attention from researchers. There are few studies on the partial discharge (PD) characteristics of C 5 F 10 O/CO 2 O 2 gas mixture at present. In this paper, we used needle-plate electrodes to simulate the extremely inhomogeneous electric field caused by the defects of metal protrusions in electrical equipment and tested the partial discharge initial voltage (PDIV) of C 5 F 10 O/CO 2 O 2 gas mixture. The effect of oxygen on the partial discharge characteristics of C 5 F 10 O gas mixture was revealed. We found that C 5 F 10 O gas mixture has an obvious polarity effect, and PDIV + is always larger than PDIV - . The addition of oxygen reduces the PDIV - and PDIV + of C 5 F 10 O gas mixture and the reduction effect on PDIV + is more obvious. Therefore, the degrading effect of O 2 on the partial discharge characteristics of C 5 F 10 O gas mixture should be considered and the proportion of oxygen in C 5 F 10 O gas mixture should be strictly controlled.

关键词： Partial discharges Electrodes Nonuniform electric fields Insulation Electric potential Metals Voltage

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Soft-Sensing Estimation of Optical Density for PHA Production Using Multilayer Perceptron Neural Network 4

Soft-Sensing Estimation of Optical Density for PHA Productio...

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4th International Conference on engineering Technology 2019, ICET 2019

作者： Mamat, Nor Hana Mohd Noor, Samsul Bahari Che Soh, Azura Saleena Taip, Farah Rashid, Ahmad Hazri Ab. Jufika Ahmad, Nur Liyana Yusof, Ishak Mohd Mohamad, Adida Zuraida Control System and Signal Processing Research Centre Department of Electrical and Electronic Engineering Faculty of Engineering Universiti Putra Malaysia UPM Serdang Selangor43400 Malaysia Food and Process Department Faculty of Engineering Universiti Putra Malaysia UPM Serdang Selangor43400 Malaysia Industrial Biotechnology Research Centre SIRIM Berhad Persiaran Dato' Menteri Seksyen 2 Selangor Shah Alam40700 Malaysia Faculty of Electrical and Automation Engineering Technology TATI University College Teluk Kalong Kemaman Terengganu24000 Malaysia

Biomass concentration is an important indicator of production rate in polyhydroxyalkanoates (PHA) fermentation process. In current practice, measurement of biomass concentration is done off-line by laboratory analysis that is unsuitable for online process monitoring and control. Soft-sensor is often used as an alternative that provides an estimate of hard to measure parameters from easy to measure process data. However, most of these studies use simulated data or data generated from mathematical model that was developed without full consideration of process and measurement uncertainty. In this study, a soft-sensor is developed from real production data for PHA fermentation in pilot-scale bioreactor with the appropriate data pre-processing techniques applied to process data that was obtained from this system. Multilayer perceptron (MLP) neural network is used to estimate biomass concentration using secondary process parameters such as dissolved oxygen (DO), temperature, pH and agitation speed as inputs. Different models are developed based on different batches of production data and various network architecture in order to study the appropriate integration of process data and network topology that gives the best model accuracy. Results indicate that the biomass soft-sensor developed using MLP-ANN provides a better estimate of biomass in comparison to radial basis function (RBF) neural network and support vector regression (SVR) methods. The developed soft-sensor can be further used in monitoring and control of production output. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Multilayer neural networks

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Experimental Prototype of High-Efficiency Wind Turbine Based on Magnus Effect

Experimental Prototype of High-Efficiency Wind Turbine Based...

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International Workshop on Electric Drives: Optimization in control of Electric Drives (IWED)

作者： Aleksandr Lukin Galina L. Demidova Dmitry V. Lukichev Anton Rassõlkin Ants Kallaste Toomas Vaimann Anouar Belahcen Faculty of Control System and Robotics ITMO University Saint Petersburg Russia Department of Electrical Power Engineering and Mechatronics Tallinn University of Technology Tallin Estonia Department of Electrical Engineering and Automation Aalto University Helsinki Finland

ISBN: (数字)9781728141589

ISBN: (纸本)9781728141596

The main feature of Magnus wind turbine is the ability to produce energy at low wind speed. This benefit lets to use such types of turbines in smart homes, which are an important part of the development of distributed energy systems, growth of blockchain electricity technology and needs for duplication of the solar energy system in the private buildings. This paper presents topology of two cylinders Magnus wind turbine in order to ensure the highest values of power coefficient and the Magnus force. The optimal ratio of wind speed and cylinder rotation speed were detected to eliminate the oscillations caused by the Von Karman vortex street phenomenon.

关键词： Wind turbines Force Drag Rotors Mathematical model Wind speed Generators

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Magnus Wind Turbine: Finite Element Analysis and control system

Magnus Wind Turbine: Finite Element Analysis and Control Sys...

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International Symposium on Power Electronics, electrical Drives, automation and Motion, SPEEDAM

作者： Galina L. Demidova Alecksey Anuchin Aleksandr Lukin Dmitry Lukichev Anton Rassõlkin Anouar Belahcen Faculty of Control System and Robotics ITMO University Saint-Petersburg Russia Department of Electrical Power Engineering and Mechatronics Tallinn University of Technology Tallinn Estonia Department of Electrical Engineering and Automation Aalto University Helsinki Finland

ISBN: (数字)9781728170190

ISBN: (纸本)9781728170206

Due to its special features, the Magnus effect wind turbine allows you to produce energy at a very low speed of the wind. This fact, as well as the growing interest in the of blockchain technology, makes it possible to use this type of wind turbine in private household as part of a distributed energy system in addition to solar panels. The article describes a two blades Magnus wind turbine whose cylinders rotate by means of embedded motors. To avoid a von Karman vortex street effect that occur when the cylinders rotate in the air flow, as well as to ensure maximum power, the optimal ratio between the wind speed and the cylinder rotation speed is determined using finite element analysis. Further, the obtained relations are used in the algorithms of the wind turbine control system.

关键词： Wind turbines Force Wind speed Generators Mathematical model Torque control systems

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