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Experimental Study on Piezoelectric-Stack-Actuator-Driven Active Vibration control of Helicopter Floor Structure

JOURNAL OF AIRCRAFT 2020年第2期57卷 377-382页

作者： Meng, De Xia, Pinqi Song, Laishou Smith, Edward C. Nanjing Univ Aeronaut & Astronaut Coll Aerosp Engn Nanjing 210016 Peoples R China Penn State Univ Dept Aerosp Engn University Pk PA 16802 USA

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A permanent magnetic actuator with scheduled stroke curve for vacuum circuit breakers

A permanent magnetic actuator with scheduled stroke curve fo...

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24th International Symposium on Discharges and Electrical Insulation in Vacuum ISDEIV

作者： Huang Zhihui Duan Xiongying Zou Jiyan Chen Mingfan Dalian Univ Technol Sch Elect Engn Dalian 116024 Peoples R China

ISBN: (纸本)9781424483655

The load characteristics of vacuum circuit breakers (VCB) are very close to the output characteristics of permanent magnetic actuator (PMA). The combination of PMA and VCB facilitates the development of phase-controlled switching technology because of its controllability. The operation time dispersion of PMA is very small, but when the actuator is impacted by the change of environment or its components, its dispersion will be unfit for phase-controlled switching. A new type of actuator driving system for PMA was proposed, which was combined with sensors, embedded system and capacitor controlled by high-current power electronic devices. The iron core trajectory of PMA was measured by a displacement sensor and compared to a scheduled action curve, the environment temperature is from a temperature sensor and the current from a Hall current sensor, then compensation to displacement was made based on the adaptive control algorithm and history data in order to match the optimal stroke curve of vacuum circuit breakers. In different conditions, the test results show that the stroke curve was in keeping with the scheduled curve and the operating time dispersion of VCB meets the requirement. The new type actuator driving system can supply an easy-controlled, constant-operating-time execution unit to controlled switching.

关键词： Hall current sensor actuator driving system adaptive control adaptive control algorithm controllability displacement sensor electromagnetic actuators high-current power electronic devices permanent magnetic actuator permanent magnets phase-controlled switching technology scheduled stroke curve temperature sensor temperature sensors vacuum circuit breakers vacuum circuit breakers

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An adaptive Integral Sliding Mode Tracking control for Robotic Manipulators 2019

An Adaptive Integral Sliding Mode Tracking Control for Robot...

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Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent control

作者： Anh Tuan Vo Hee-Jun Kang Tien Dung Le Graduate School of Electrical Engineering University of Ulsan Ulsan South Korea School of Electrical Engineering University of Ulsan Ulsan South Korea The University of Danang - University of Science & Technology Danang Vietnam

ISBN: (纸本)9781450376617

This paper proposes an adaptive integral sliding mode tracking control for robotic manipulators. Our proposed control method is developed based on the benefits of both integral sliding mode control and adaptive control, such as high robustness, high accuracy, and estimation ability. In this paper, an integral sliding mode controller is designed with the elimination of the reaching stage to provide better trajectory tracking accuracy and to stabilize the closed-loop system. To reduce the computation complexity, an adaptive controller with only one simple adaptive law is used to estimate the upper-bound values of the lumped model uncertainties. As a result, the requirement of their prior knowledge is eliminated and then decrease the computation cost. Consequently, this controller provides better tracking accuracy and handles the dynamic uncertainties and external disturbances more strongly. The system global stability of the controller is guaranteed by using Lyapunov criteria. Finally, the effectiveness of the proposed control method is tested by computer simulation for a PUMA560 robotic manipulator.

关键词： adaptive control algorithm Integral Sliding Mode control Robotic Manipulators

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Radial Basis Function Neural Network adaptive control of Flexible-Joint Space Robot

Radial Basis Function Neural Network Adaptive Control of Fle...

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Chinese Automation Congress

作者： Liang Jie Qing Kai Yu Han Pei Chen Li School of Astronautics &Aeronautic University of Electronic Science and Technology of China Chendu Sichuan Key Laboratory of Space Utilization Chinese Academy of Sciences Beijing Department of Mechanical Engineering and Automation Fuzhou University Fuzhou Fujian

Because of their unique properties and good performance, some elastic components, such as the harmonic reducers and the torque sensors, are widely used in the joints of the space robots and manipulators, in order to obtain high reduction ratio. However these elastic components bring joint flexibility into the system at the same time, which makes its stability control more complex. Based on this, this paper discussed radial basis function neural network adaptive control and elastic vibration suppression for flexible-joint space robots, it worked under the unknown parameter. Firstly, mathematical models which been suit for design of control system are established by using a joint flexibility compensation controller, the model composed of the slow-subsystem robot dynamics model and and the fast-subsystem dynamics model is deduced by the second type of Lagrange method. Then, for the dynamic model of the fast-subsystem dynamics model, the torque differential feedback control algorithm is adopted to the premise that the ultimate doundedness of system, for the slow -subsystem robot dynamics model, the radial basis function neural network adaptive control algorithm is designed to to track the desired trajectory in joint space. The whole control system is superposed by the slow-subsystem and the fast-subsystem control algorithm. The system simulation comparison test proves the effectiveness of said algorithm.

关键词： Flexible-joint space robot Dynamic modeling Radial basis function neural network Flexibility compensation adaptive control algorithm

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Implementation of ML algorithms for the Purpose of Quality Improvement of Power

Implementation of ML Algorithms for the Purpose of Quality I...

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2023 International Conference on Power Energy, Environment and Intelligent control, PEEIC 2023

作者： Raghu, N. Meena, Mansingh Saxena, Kumud Faculty of Engineering and Technology Department of Electrical and Elceltronics Engineering Bangalore India Vivekananda Global University Department of Electrical Engineering Jaipur India Noida Institute of Engineering & Technology Department of Computer Science and Engineering Uttar Pradesh Greater Noida India

ISBN: (纸本)9798350357769

In our fast industrializing world, the need for more reliable and high-quality power production is highlighted by the growing need for electrical energy and the drive toward automation. In an effort to fulfill the growing need for electrical power, sources of renewable electricity (RE) have surfaced as an eco-friendly substitute for traditional energy sources. However, because of their intrinsically erratic and fluctuating production patterns, integrating these sources of renewable energy into the utility grid poses difficulties for sustaining the quality of electricity (PQ) and system stability. Mitigating PQ difficulties related to the adoption of renewable energy has been made possible by the integration of a distributed flexibly AC transfer system gadgets such as distribute static compensator (DSTATCOM) as dynamic voltage restorer (DVR). The control algorithms that dictate the functioning of those DFACTS devices are substantially responsible for their effectiveness. This exploration leads an extensive examination of the ordinary and adjust control methods utilized in DFACTS frameworks to address power quality issues in utility organizations where sustainable power is being incorporated. The exhaustive assessment incorporates an assessment of in excess of 170 examination papers and offers a cautious classification and outline of the different control techniques. The survey investigates these calculations' plan, trying equipment, signs of execution, and reasonability as archived in the group of surviving exploration. This collection is an invaluable tool that provides engineers and scholars working in the dynamic subject of improving power quality in utility networks amid the increasing impact of renewable energy sources with a rapid reference. © 2023 IEEE.

关键词： adaptive control algorithm Conventional control algorithm DFACTS Device Modern Utility Grid Power Quality and Renewable Energy Source

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adaptive client and communication optimizations in Federated Learning

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INFORMATION SYSTEMS 2023年 116卷

作者： Wu, Jiagao Wang, Yu Shen, Zhangchi Liu, Linfeng Nanjing Univ Posts & Telecommun Sch Comp Nanjing 210023 Peoples R China Jiangsu Key Lab Big Data Secur & Intelligent Proc Nanjing 210023 Peoples R China

Federated Learning (FL) is a very effective distributed machine learning framework that enables a large number of devices to jointly train models without sharing raw data. However, the process of iterative learning and data communication in FL can be time-consuming, depending heavily on the number of clients participating in training and the number of local iterations between two consecutive global aggregations (communication period). In this paper, we analyze the runtime of the FL framework and propose a joint optimization problem, which considers both the number of local clients involved in global training and the communication period to minimize the error-runtime convergence of FedAvg. By theoretical analysis, we obtain the optimal solutions of this optimization problem in closed forms under the assumption of different probability distributions of the client's local computation time. In addition, we design an adaptive control algorithm that can dynamically select the number of clients and communication period during FL training to speed up the convergence of the model. Experimental results validate our theoretical analysis and show that the proposed algorithm has outstanding performance compared with other related FL control algorithms.(c) 2023 Elsevier Ltd. All rights reserved.

关键词： Federated learning Distributed machine learning Optimization problem Theoretical analysis adaptive control algorithm Edge computing

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adaptive Least Mean Square controller for Power Quality Enhancement in Solar Photovoltaic System

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ENERGIES 2022年第23期15卷 8909页

作者： Karchi, Nalini Kulkarni, Deepak Perez de Prado, Rocio Divakarachari, Parameshachari Bidare Patil, Sujata N. Desai, Veena Gogte Inst Technol Dept Elect & Elect Engn Belagavi 590006 India KLE Dr MS Sheshgiri Coll Engn & Technol Dept Elect & Elect Engn Belagavi 590008 India Univ Jaen Telecommun Engn Dept Jaen 23700 Spain Nitte Meenakshi Inst Technol Dept Elect & Commun Engn Bangalore 560064 India KLE Dr MS Sheshgiri Coll Engn & Technol Dept Elect & Commun Engn Belagavi 590008 India Gogte Inst Technol Dept Elect & Commun Engn Belagavi 590006 India

The objective of the proposed work is to develop a Maximum Power Point Tracking (MPPT) controller and inverter controller by applying the adaptive least mean square (LMS) algorithm to control the total harmonics distortion of a solar photovoltaic system. The advantage of the adaptive LMS algorithm is given by its simplicity and reduced required computational time. The adaptive LMS algorithm is applied to modify the Perturb and Observe (P&O), MPPT controller. In this controller, the adaptive LMS algorithm is used to predict solar photovoltaic power. The adaptive LMS maximum power point tracking controller gives better optimal solutions with less steady error 0.7% (6 watts) and 0% peak overshot in power with the tradeoff being more settling time at 0.33 s. The development of the inverter control law is performed using the d-q frame theory. This helps to reduce the number of equations to build a control law. The load current, grid current and grid voltage are sensed and transformed into d and q components. This adaptive LMS control law is used to extract the reference grid currents and, later, to compare them with the actual grid currents. The result of this comparison is used to generate the switching gate pulses for the inverter switches. The proposed controllers are developed and implemented with a solar PV system in MATLAB Simulink. The total harmonics distortion in grid and load current (3.25% and 7%) and voltage (0%) is investigated under linear and non-linear load conditions with changes in solar irradiations. The analysis is performed by selecting step incremental values and sampling time.

关键词： adaptive control algorithm inverter controller least mean square maximum power point tracking photovoltaic system power quality issues

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Variable-Speed IGBT Gate Driver with Loss/Overshoot Balancing for Switching Loss Reduction

Variable-Speed IGBT Gate Driver with Loss/Overshoot Balancin...

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IEEE Energy Conversion Congress and Exposition

作者： Alexey Sokolov Diego Mascarella Geza Joos Department of Electrical & Computer Engineering McGill University Montreal Canada

ISBN: (纸本)9781479957774

This paper introduces a new method of IGBT switching loss reduction on the system level, while leaving the PWM scheme completely unchanged. The switching loss reduction is achieved by designing an IGBT gate driver that dynamically sets the IGBT gate current depending on feedback signals from IGBT current, IGBT voltage, phase load current, and DC link voltage if it is not constant in the application. Factors influencing switching losses will be demonstrated for two types of output driver stages: one with discrete switching speed setting and one with continuously variable switching speed. Comparing to other gate driver types with or without feedback aimed at keeping constant dv/dt, di/dt, and overshoots of IGBT voltage and current, the proposed gate driver not only ensures the operation of an IGBT in the safe operating area (SOA), but also improves the SOA utilization density by tracking the programmed voltage and current limits using peak-detection circuitry while minimizing the switching losses. adaptive feedback control algorithms have been developed and verified by simulations.

关键词： gate driver variable current output stage IGBT switching loss adaptive control algorithm

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