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Compatibility in Power Electronics (CPE)

作者： Mykola Lukianov Enrique Romero Cadaval Oleksandr Matiushkin Ryszard Strzelecki Faculty of Electrical and Control Engineering Gdańsk University of Technology Gdańsk Poland Power Electrical and Electronic Systems R+D Group University of Extremadura Badajoz Spain Department of Electrical Power Engineering and Mechatronics Tallinn University of Technology Tallinn Estonia Faculty of Electrical Engineering Gdynia Maritime University Gdynia Poland

ISBN: (数字)9798331515171

ISBN: (纸本)9798331515188

The limited availability of public electric vehicle (EV) charging infrastructure poses a significant challenge to EV adoption in urban areas. This underscores the need for cost-effective solutions that enable charging for a large number of EVs, particularly for multiterminal charging stations. One promising approach to reducing installation costs is the implementation of a current-fed multi-active bridge multiport converter, powered by existing DC traction infrastructure. The use of a multiport converter allows for sharing electric components between several ports, reducing total number of elements required, compared to conventional systems, where each EV charger relies on a separate converter. Additionally, connection to the DC traction grid enables sharing some of the substation equipment between the traction network and the EV charger, further lowering installation costs while providing additional benefits, such as DC grid voltage stabilization and transit transport braking energy recuperation. In the case studied in the paper, the use of the converter reduced catenary voltage drops by $10 \%$ and voltage surges by $30 \%$, compared to $\pm 35 \%$ in the base scenario (without a converter).

关键词： Power engineering Costs Substations Hardware-in-the-loop simulation Urban areas Voltage DC-DC power converters Electric vehicle charging Traction power supplies Surges

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The Intelligent Transportation Systems with Advanced Technology of Sensor and Network

The Intelligent Transportation Systems with Advanced Technol...

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2021 International Conference on Computing, Electronic and Electrical engineering, ICE Cube 2021

作者： Riaz, Muhammad Tanveer Aaqib, Sheikh Muhammad Ahmad, Saeed Amin, Sundas Ali, Haider Husnain, Sabir Riaz, Sidra UET Lahore Faisalabad Campus Dept. of Mechanical Mechatronics and Manufacturing Engineering Faisalabad Pakistan University of Engineering Technology Faisalabad Campus Dept. of Electrical Engineering Faisalabad Pakistan University of Sargodha Department of Mechanical Engineering Sargodha Pakistan The Islamia University of Bahawalpur Department of Information Security Bahawalpur Pakistan UET Lahore Faisalabad Campus Dept. of Mechatronics and Control Engineering Faisalabad Pakistan University of Agriculture Department of Physics Faisalabad Pakistan

ISBN: (纸本)9781665401548

At present, the latest technologies in the field of sensor, computing, and wireless communication technology have allowed the creation of a wide range of new applications in various fields, such as the transportation involved in civil and military operations, intelligence systems, personally used communications, industrial and health care automation. Although the mechanical image of the automobile, since its beginning, does not seem to have changed much, the industrial structure is now converging towards the revolution in advanced automation and information technology. Therefore, the GPS based navigation systems are very common these days such as;parallel parking driving assistance technology, the control system for an adaptive cruise, and warning system for changing the lane. This advanced technology has a lot of applications in improving the infrastructure of the traffic, like the automatic collection of toll taxes, monitoring of vehicles, an early warning system for road accidents, etc. This research work discusses the supporting technologies and advancement for intelligent transportation systems. Later in this paper, it is verified that by improving the efficiency and service flexibilities the energy consumption and total cost in the transportation system can be reduced. © 2021 IEEE.

关键词： Wireless networks

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Nonlinear MPC for Full-Pose Manipulation of a Cable-Suspended Load using Multiple UAVs

Nonlinear MPC for Full-Pose Manipulation of a Cable-Suspende...

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International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Sihao Sun Antonio Franchi Robotics and Mechatronics Department Electrical Engineering Mathematics and Computer Science (EEMCS) Faculty University of Twente AE Enschede The Netherlands Department of Computer Control and Management Engineering Sapienza University of Rome Rome Italy LAAS-CNRS Université de Toulouse Toulouse France

In this work, we propose a centralized control method based on nonlinear model predictive control to let multiple UAVs manipulate the full pose of an object via cables. At the best of the authors knowledge this is the first method that takes into account the full nonlinear model of the load-UAV system, and ensures all the feasibility constraints concerning the UAV maximumum and minimum thrusts, the collision avoidance between the UAVs, cables and load, and the tautness and maximum tension of the cables. By taking into account the above factors, the proposed control algorithm can fully exploit the performance of UAVs and facilitate the speed of operation. Simulations are conducted to validate the algorithm to achieve fast and safe manipulation of the pose of a rigid-body payload using multiple UAVs. We demonstrate that the computational time of the proposed method is sufficiently small (<100 ms) for UAV teams composed by up to 10 units, which makes it suitable for a huge variety of future industrial applications, such as autonomous building construction and heavy-load transportation.

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Voltage-controlled robust topological states in perforated beams

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engineering Structures 2025年 338卷

作者： Hong, Fang Zhang, Kai Yao, Yuxin Tang, Lihua Deng, Zichen School of Mechanics Civil Engineering and Architecture Northwestern Polytechnical University Xi'an710072 China MIIT Key Laboratory of Dynamics and Control of Complex Systems Northwestern Polytechnical University Xi'an710072 China Department of Mechanical and Mechatronics Engineering University of Auckland 20 Symonds Street Auckland1010 New Zealand

Topological metamaterials possess waveguiding and energy concentration properties even under perturbations such as defects or disorders. Tunable topological materials offer enhanced flexibility to these properties. In this study, a voltage-controlled strategy is presented to realize the tunable robust topological states. First, a perforated beam with piezoelectric patches and additional steel columns is proposed to analyze the topological properties, and the corresponding numerical model based on Timoshenko beam theory is introduced to analyze the band gap properties and transmission spectra by spectral element method (SEM). Then the effects of the applied voltage on the resonance frequency and equivalent stiffness of piezoelectric patches are characterized. Two new band gaps emerge around the locally resonant band gap and topological phase transition can be achieved by altering the collective displacement of the perforations and resonators. Subsequently, the finite element simulations are presented to validate the accuracy of SEM results, and the equivalent voltage-controlled stiffness is used in SEM to simplify the relationship between voltage and topological properties. The Zak phase calculations demonstrate the topological properties of opened band gaps and further indicate the existence of topologically protected interface states (TPISs). Finally, the transmission spectra are used to analyze the characteristics of TPISs, and the robustness of TPISs is examined by introducing different perturbation factors. The results show that the frequency of topological states can be simply tuned by varying the voltage on the piezoelectric patch, and the topological rainbow trapping can be realized in a designed gradient system without changing the geometric configuration. © 2025 Elsevier Ltd

关键词： Metamaterials

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Heterogeneous microstructure and mechanical behaviour of Al-8.3Fe-1.3V-1.8Si alloy produced by laser powder bed fusion

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Virtual and Physical Prototyping 2023年第1期18卷 Article: e2155197页

作者： Yu, S.J. Wang, P. Li, H.C. Setchi, R. Wu, M.W. Liu, Z.Y. Chen, Z.W. Waqar, S. Zhang, L.C. Additive Manufacturing Institute Shenzhen University Shenzhen China Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robotics College of Mechatronics and Control Engineering Shenzhen University Shenzhen China School of Materials Science and Engineering Shanghai University of Engineering Science Shanghai China Cardiff School of Engineering Cardiff University Cardiff United Kingdom Department of Materials and Mineral Resources Engineering National Taipei University of Technology Taipei Taiwan Department of Mechanical Engineering Institute of Space Technology Islamabad Pakistan School of Engineering Edith Cowan University Perth Australia

The relationship between processing parameters, microstructure, and mechanical properties of Al-8.3Fe-1.3V-1.8Si alloy processed by laser powder bed fusion is seldom studied. Therefore, fully dense alloys with two parameters were selected to investigate this key issue. The results show that the alloy with low power and scanning speed (S200) shows fan-shell-shaped melt pools and laser tracks while another (S350) shows a deeper and wider melt pool. Both alloys obtain a heterogeneous microstructure without a secondary phase in melt pool (MP) and a nano-sized phase in melt pool boundary (MPB). The difference between solid-solution strengthening and Orowan strengthening in MP and MPB contributes to the difference in compressive yield strength (S200: 380 ± 14 MPa and S350: 705 ± 16 MPa), and heterogeneous nano-hardness results in different crack behaviours and failure strains. This work indicates that adjusting processing parameters is an effective method to control microstructure and mechanical properties of this alloy. © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

关键词： Aluminum alloys

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Uninterruptible Power Supply: An Optimal Passivity-Based control Scheme

Uninterruptible Power Supply: An Optimal Passivity-Based Con...

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Innovative Smart Grid Technologies (ISGT)

作者： Abualkasim Bakeer Mohammed Alhasheem Hadi M. Elhelw Department of Electrical Engineering Faculty of Engineering Aswan University Aswan Egypt Dept. of Electrical Power Engineering and Mechatronics Tallinn University of Technology Tallinn Estonia Dept. of Electrical and Control Arab Academy for Science Technology and Maritime Transport Cairo Egypt

Passivity-Based control (PBC) has been successfully used to digitally control a stand-alone voltage source inverter (VSI) associated with the LC filter in recent years. A passivity-based control design methodology for three-phase VSI used in uninterruptible power supply (UPS) systems with low output voltage overshoot and quick settling times is proposed in this study. In a range of operating scenarios where linear and nonlinear loads are presented, the PBC controller's settings are designed using the particle swarm optimization (PSO) technique, which eliminates the difficulties of manual tuning and allows the damping parameters to be acquired more rapidly and effectively using MATLAB in online mode. In addition to the easy implementation and efficient computation of the PSO, the optimization tool is used in association with an enhanced passivity control technique, resulting in a decrease in overall total harmonics distortion (THD). The effects of various parameters on power converter performance are explored, and comparative simulation results are shown to demonstrate the value of the proposed passivity-based control design methodology based on the PSO technique.

关键词： Damping Total harmonic distortion control design Voltage source inverters Power supplies Simulation Smart grids

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Case Study of Supplementary PMSM for Low-Speed Wind Turbine 18

Case Study of Supplementary PMSM for Low-Speed Wind Turbine

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18th International Scientific Technical Conference Alternating Current Electric Drives, ACED 2021

作者： Poliakov, Nikolai Vorobev, Konstantin Demidova, Galina Rassolkin, Anton Ramensky, Dmitry Faculty of Control System and Robotics ITMO University Saint Petersburg Russia Tallinn University of Technology Department of Electrical Power Engineering and Mechatronics Tallinn Estonia Zubax Robotics Tallinn Estonia

ISBN: (纸本)9781665412483

In the last decades, the renewables market is focused on distributed grids and solutions suitable for private use in households. A low-speed wind turbine based on the Magnus effect is one of the promising technologies in that area. By its construction, for the power management, Magnus effect-based wind turbine requires additional motors to control the rotational speed of the blades. An integrated motor-drive system for Unmanned Autonomous Vehicles (UAVs) matching the requirements in terms of weight, size, rotational speed, and controllability. In this case study, an application of the permanent magnet synchronous motor (PMSM) designed for UAVs in a Magnus effect-based wind turbine prototype is presented. The control system design methodology is presented, and the performance of the system is experimentally evaluated. © 2021 IEEE.

关键词： Wind turbines

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AC Network-Constrained Local Electricity Market Mechanism in Low-voltage Distribution Networks

AC Network-Constrained Local Electricity Market Mechanism in...

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2022 IEEE Power and Energy Society General Meeting, PESGM 2022

作者： Yang, Jiajia Yan, Gangui Yang, Yulong Chen, Guo Li, Chaojie Wen, Fushuan Northeast Electric Power University Ministry of Education Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin132012 China School of Electrical Engineering and Telecommunications University of New South Wales SydneyNSW2052 Australia School of Electrical Engineering Zhejiang University Hangzhou China Tallinn University of Technology Department of Electrical Power Engineering and Mechatronics Estonia

ISBN: (数字)9781665408233

ISBN: (纸本)9781665408233

This paper proposes a fully decentralized local electricity market mechanism backboned by a modified version of the Alternating Direction Method of Multipliers (ADMM). Comparing with the state-of-the-art peer-to-peer (P2P) market in local distribution systems, the proposed electricity trading mechanism comprehensively incorporates power network constraints formulated by an Alternating Current (AC) power flow model. In the proposed method, nodal voltages are designed as the only public variables shared among participants. Privacy of each participant is thus sufficiently preserved without exposing the bid data to the others. Meanwhile, the proposed method can also ensure the global optimality of social welfare in electricity transactions. Comprehensive case studies on the IEEE 33-node distribution system are conducted to demonstrate the feasibility and effectiveness of the proposed electricity trading mechanism. © 2022 IEEE.

关键词： Power markets

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Identification and control of Industrial Hydraulic Actuators with a Hammerstein-Wiener Model Approach 1st

Identification and Control of Industrial Hydraulic Actuators...

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1st International Symposium on Systems Modelling and Simulation, SMS 2024

作者： Mohamad Ali, Nur Husnina Jaafar, Hazriq Izzuan Ghazali, Rozaimi Ghani, Muhamad Fadli Soon, Chong Chee Has, Zulfatman Fakulti Teknologi dan Kejuruteraan Elektrik Universiti Teknikal Malaysia Melaka Melaka Malaysia Center for Robotics and Industrial Automation Universiti Teknikal Malaysia Melaka Melaka Malaysia Department of Control and Mechatronics Engineering Faculty of Electrical Engineering Universiti Teknologi Malaysia Johor Malaysia Penang Branch Campus Pulau Pinang Malaysia Electrical Engineering Department University of Muhammadiyah Malang Malang Indonesia

ISBN: (纸本)9789819646128

In motion control applications, the precise regulation of Industrial Hydraulic Actuators (IHA) is essential for properly ascertaining the position of the actuator rod. This research used a Hammerstein-Wiener (HW) model to characterize the system, integrating a dead zone to account for nonlinearities and using an open-loop methodology. A grey-box modelling technique is used for estimating the discrete-time model of the system and identifying its parameters. The System Identification toolbox in MATLAB functions as the principal instrument for model estimation, using input-output data acquired via experimental procedures. The validation of the input-output data demonstrated a promising best-fit percentage of 88.21%, indicating a robust connection between the HW model and the real system. To assess the trajectory tracking efficacy of the system, Proportional-Integral-Derivative (PID) and Fractional Order PID (FOPID) controllers developed and evaluated using both simulation and experimental data based on a multi-sinusoidal trajectory. The findings indicate that the FOPID controller surpasses the traditional PID controller, producing reduced Mean Square Error (MSE) and Root Mean Square Error (RMSE) values. In simulations, the FOPID control technique enhanced MSE by 32.8% and RMSE by 18.0% relative to the PID controller, although the experimental findings indicated improvements of 31.9% and 17.5%, respectively. The results highlight the superior efficacy of the FOPID controller in improving trajectory tracking performance owing to its greater complexity and flexibility. Future research may concentrate on developing more sophisticated controllers, including intelligent or nonlinear variants, to enhance the tracking precision of the IHA system. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Three term control systems

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Investigating the dynamic memory effect of human drivers via ON-LSTM

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Science China(Information Sciences) 2020年第9期63卷 83-93页

作者： Shengzhe DAI Zhiheng LI Li LI Dongpu CAO Xingyuan DAI Yilun LIN Department of Automation Tsinghua University Shenzhen International Graduate School Tsinghua University Department of Mechanical and Mechatronics Engineering University of Waterloo State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences

It is a widely accepted view that considering the memory effects of historical information(driving operations) is beneficial for vehicle trajectory prediction models to improve prediction accuracy. However,many commonly used models(e.g., long short-term memory, LSTM) can only implicitly simulate memory effects, but lack effective mechanisms to capture memory effects from sequence data and estimate their effective time range(ETR). This shortage makes it hard to dynamically configure the most suitable length of used historical information according to the current driving behavior, which harms the good understanding of vehicle motion. To address this problem, we propose a modified trajectory prediction model based on ordered neuron LSTM(ON-LSTM). We demonstrate the feasibility of ETR estimation based on ON-LSTM and propose an ETR estimation method. We estimate the ETR of driving fluctuations and lane change operations on the NGSIM I-80 dataset. The experiment results prove that the proposed method can well capture the memory effects during trajectory prediction. Moreover, the estimated ETR values are in agreement with our intuitions.

关键词： driving behavior memory effect trajectory prediction historical information ON-LSTM

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