IEEE Transactions on Industrial Electronics
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IECON is focusing on industrial and manufacturing theory and applications of electronics, controls, communications, instrumentation and computational intelligence.
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.
Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...
Methods, algorithms, and human-machine interfaces for physical and logical design, including: planning, synthesis, partitioning, modeling, simulation, layout, verification, testing, and documentation of integrated-circuit and systems designs of all complexities. Practical applications of aids resulting in producible analog, digital, optical, or microwave integrated circuits are emphasized.
The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes
IEEE Transactions on Industrial Electronics, 2017
We read with interest an article by Zeineldin and Salama, published in the IEEE Transactions on Industrial Electronics (vol. 58, no. 1, pp. 139-146, Jan. 2011) and tried to reproduce the results of this article for the needs of our own research. Unfortunately, we were led to think that the load model equations used by the authors contained an inconspicuous ...
CES Transactions on Electrical Machines and Systems, 2017
Affine projection algorithm (APA) has been used to estimate the parameters of interior permanent magnet synchronous motor (IPMSM). However, there is not a strict guideline of choosing the stepsize of this algorithm to make sure that the results of parameter estimation are convergent. In order to solve such problem, self-adaptive stepsize affine projection algorithm for parameter estimation of IPMSM is ...
IEEE Transactions on Industrial Electronics, 1997
IEEE Transactions on Industrial Electronics, 1987
IEEE Transactions on Industrial Electronics, None
This paper presents the design and performance analysis of a line-start permanent-magnet synchronous motor to overcome the efficiency and power factor deficiencies of induction motors. Proper start-up and synchronization are considered. An optimization algorithm is applied to improve the rotor bar resistance for the smooth line start of the motor. Dynamic d-q modeling and finite element analysis are performed to ...
IEEE ISTAS 2019 - Plenary 3 - Impact of IEEE Division VI Societies Panel
Qing-Chang Zhong, Distinguished Lecturer - PELS
Pat Wheeler, Distinguished Lecturer
Risto Miikkilainen - Multiagent Learning Through Neuroevolution
Robotics History: Narratives and Networks Oral Histories:Ken Goldberg
IROS TV 2019- Welcome to IROS 2019- Opening Ceremony
The Josephson Effect: Josephson Digital Electronics in the Soviet Union
Honors 2020: Rik W. De Doncker Wins the IEEE Power Engineering Medal
Risk Prevention for Industrial Controls: IECON 2018
Brooklyn 5G Summit: Massive MIMO Technology for 5G (6GHz - 100GHz)
Lionel O. Barthold - IEEE Medal in Power Engineering, 2019 IEEE Honors Ceremony
Industry Forum: Panel Discussion 5G Technologies and Applications, Joseph Salvo, Ashutosh Dutta, Kim Fung Tsang - IECON 2018
SIMULATION TECHNIQUES FOR DATA CONVERTER DESIGN
High-Bandwidth Memory Interface Design
Fog Computing Design Principles for Industrial IoT Applications - Sudhanshu Gaur, Fog World Congress 2017
2013 IEEE Medal in Power Engineering
Recycling: Computers & Electronics (com legendas em portugues)
Best of Consumer Electronics Show Webinar
The Upcoming Era of Specialization and the Research Needed to Make It Work for our Country - ICRC 2018 Plenary, William Chappell
We read with interest an article by Zeineldin and Salama, published in the IEEE Transactions on Industrial Electronics (vol. 58, no. 1, pp. 139-146, Jan. 2011) and tried to reproduce the results of this article for the needs of our own research. Unfortunately, we were led to think that the load model equations used by the authors contained an inconspicuous but significant mathematical error, leading to erroneous results and conclusion. This letter brings corrections to some figures and their analysis as well as the paper conclusion. The new results show that the load's frequency dependence has actually no significant impact on the NDZ of the SFS method.
Affine projection algorithm (APA) has been used to estimate the parameters of interior permanent magnet synchronous motor (IPMSM). However, there is not a strict guideline of choosing the stepsize of this algorithm to make sure that the results of parameter estimation are convergent. In order to solve such problem, self-adaptive stepsize affine projection algorithm for parameter estimation of IPMSM is proposed in this paper. Compared with traditional affine projection algorithm, this method can obtain the stepsize automatically based on the operation condition, which can ensure the convergence and celerity of the process of parameter estimation. Then, on the basis of self- adaptive stepsize affine projection algorithm, a novel parameter estimation method based on square-wave current injection is proposed. By this method, the error of estimated parameter caused by stator resistance, linkage magnetic flux and dead-time voltage can be reduced effectively. Finally, the proposed parameter estimation method is verified by experiments on a 2.2-kW IPMSM drive platform.
This paper presents the design and performance analysis of a line-start permanent-magnet synchronous motor to overcome the efficiency and power factor deficiencies of induction motors. Proper start-up and synchronization are considered. An optimization algorithm is applied to improve the rotor bar resistance for the smooth line start of the motor. Dynamic d-q modeling and finite element analysis are performed to predict the transient and steady- state performances of the motor. Based on the presented optimized design, a 3-phase, 4-pole, 2 kW line-start permanent-magnet synchronous motor is fabricated and tested. Simulation and experimental results validate the improved performance of the proposed optimized motor.
Some flaws in a paper written by Jawhar Ghommam and Faïçal Mnif ( IEEE Transactions on Industrial Electronics, vol. 56, no. 10, pp. 3951-3963, Oct. 2009) concerning the coordinated path-following control problem for a group of underactuated surface vessels are indicated and corrected.
In the future, we need a new production system (e.g., robot system) releasing workers from dirty and dangerous work environments. Currently, many organizations are trying to develop new safety regulation for robots in the human environment. If the regulation are established, more and more robots will be introduced in our living environments. The future research subject of the mechatronics system will be on the nanoscale control system, which involves biomedical applications. By combining multisensor fusion technology, the performance of mechatronic and robotics systems and the derived applications can be enhanced and extended soon.
This article presents the application of multisensor fusion and integration in a mechatronics aspect. A review of algorithms for multisensor fusion is given, and an overview of the mechatronics is also described. Because of the advancements in mechanical engineering, electrical engineering, and computing technology, more and more compact and highly integrated mechatronic systems are developed. By combining multisensor fusion technology, the performance of mechatronic systems and the derived applications can be enhanced and extended.
This paper presents a novel voltage-shift acceleration control scheme for anti-islanding of power-converter-based distributed generators (DGs). The proposed control objective is achieved by a voltage positive-feedback loop properly designed in the synchronous _d_-_q_ frame. In this paper, the overall power flow control scheme of the studied DG is first described. Then, a quantitative design methodology of an adaptive voltage-shift acceleration gain based on small-signal stability and step-input response is developed. The proposed control approach is intended to achieve reliable detection with quasi-zero nondetection zone, noncompromised power quality, and easy implementation without additional sensing devices or equipment. Performances on constant-power and constant-current control modes are investigated. Both simulation and experimental results verify the feasibility and effectiveness of the proposed anti-islanding scheme and the gain design approach.
Control of electronically-coupled distributed energy resources and topology/switching strategy of power converters have the essential roles to provide high quality power for microgrids including unbalanced and nonlinear loads. Multi-level inverters (MLIs) are used to act as high quality converters with more conversion efficiency, and less switching-frequency/switching- losses. Nevertheless their nonlinearity, complexity, and solvability features of selective harmonic elimination strategy that has affected its industrial applications, it can provide desirable output waveform by keeping fundamental component in its desired value as well as eliminating/minimizing of low-order harmonics. This paper presents adaptive neuro-fuzzy inference system (ANFIS) as a switching angle estimator for harmonic optimization problem in cascade MLIs, which is trained based on the database including optimal switching angles obtained for inverter with non-equal DC sources by artificial bee colony (ABC) algorithm. The reliable search ability, accuracy and convergence time of ABC have been compared with particle swarm optimization algorithm. Also, performance of ANFIS is compared with artificial neural network based on correlation coefficient and root mean square error. Simulation results, experimental tests and real-time simulations reveals the effectiveness of proposed estimator for online elimination of low-order harmonics of MLIs in microgrids and its superiority over other methods.
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