scholarly journals Re-Engineering a High Performance Electrical Series Elastic Actuator for Low-Cost Industrial Applications

Actuators ◽  
2017 ◽  
Vol 6 (1) ◽  
pp. 5 ◽  
Author(s):  
Kenan Isik ◽  
Shunde He ◽  
Joseph Ho ◽  
Luis Sentis
2015 ◽  
Vol 3 (7) ◽  
pp. 3450-3455 ◽  
Author(s):  
Wei Wu ◽  
Mei Lei ◽  
Shuanglei Yang ◽  
Li Zhou ◽  
Li Liu ◽  
...  

Copper-based alloy nanoparticles (NPs) have recently triggered much research interest for the development of low-cost and high-performance bimetallic catalysts that have industrial applications.


Author(s):  
Emma Campbell ◽  
Zhao Chad Kong ◽  
William Hered ◽  
Andrew J. Lynch ◽  
Marcia K. O'Malley ◽  
...  

Author(s):  
Ganapathy Ram ◽  
Santha K R

Permanent magnet synchronous motors (PMSMs) are increasingly used in high performance variable speed drives of many industrial applications. PMSM has many features, like high efficiency, compactness, high torque to inertia ratio, rapid dynamic response, simple modeling and control, and maintenance free operation. Presence of position sensors presents several disadvantages, such as reduced reliability, susceptibility to noise, additional cost and weight and increased complexity of the drive system. For these reasons, the development of alternative indirect methods for speed and position control becomes an important research topic. Advantages of sensorless control are reduced hardware complexity, low cost, reduced size, cable elimination, increased noise immunity, increased reliability and decreased maintenance. The key problem in sensorless vector control of ac drives is the accurate dynamic estimation of the stator flux vector over a wide speed range using only terminal variables (currents and voltages). The difficulty comprises state estimation at very low speeds where the fundamental excitation is low and the observer performance tends to be poor. Moreover, the noises of system and measurements are considered other main problems. This paper presents a comprehensive study of the different sliding mode observer methods of speed and position estimations for sensorless control of PMSM drives.


Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 401 ◽  
Author(s):  
Dongliang Shi ◽  
Zhiming Geng ◽  
Kwok Lam

Lead-free thermoelectric material, copper chalcogenides, have been attracting much interest from many research and industrial applications owing to their high capability of harvesting energy from heat. The state-of-the-art copper chalcogenides are commonly fabricated by the spark plasma sintering (SPS) and hot pressing (HP) techniques. Those methods are still costly and complicated particularly when compared to the conventional solid-state sintering method. Here, we report an easy-to-fabricate lead-free copper(I)-selenium (Cu2Se) that was fabricated using the conventional sintering method. The fabrication conditions, including sintering temperature and dwelling time, have been systematically studied to optimize the thermoelectric performance of Cu2Se. The optimized zT value for the pure Cu2Se was found to be 1.2 for the sample sintered at 1173 K for 2 h. The study shows that Cu2Se developed using the simple and low-cost techniques could exhibit comparable thermoelectric performance when compared with those fabricated by the SPS method, which provides an alternative potential technique to synthesize high-performance thermoelectric materials in a cost-effective way for industrialization.


Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1364 ◽  
Author(s):  
Vito Mario Fico ◽  
Antonio Leopoldo Rodríguez Vázquez ◽  
María Ángeles Martín Prats ◽  
Franco Bernelli-Zazzera

In recent years, Brushless DC (BLDC) motors have been gaining popularity as a solution for providing mechanical power, starting from low cost mobility solutions like the electric bikes, to high performance and high reliability aeronautical Electro-Mechanical Actuator (EMA). In this framework, the availability of fault detection tools suited to these types of machines appears necessary. There is already a vast literature on this topic, but only a small percentage of the proposed techniques have been developed to a sufficiently high Technology Readiness Level (TRL) to be implementable in industrial applications. The investigation on the state of the art carried out during the first phase of the present work, tried to collect the techniques which are closest to possible implementation. To fill a gap identified in the current techniques, a partial demagnetisation detection method is proposed in this paper. This technique takes advantage of the asymmetries generated in the current by the missing magnetic flux to detect the failure. Simulations and laboratory experiments have been carried out to validate the idea, showing the potential and the easy implementation of the method. The results have been examined in detail and satisfactory conclusions have been drawn.


Author(s):  
Lewis(In Soo) Kang

The market of Connectivity, Internet of Things (IoT), Wearable and Smart industrial applications leads Fan Out Wafer Level Package (FOWLP) technologies to a promising solution to overcome the limitation of conventional wafer level package, flip chip package and wire bonding package in terms of the solution of low cost, high performance and smaller form factor packaging. Moreover, FOWLP technology can be extended to system-in-package (SiP) area, such as multi chip 2D package and 3D stack package types. nepes Corporation has developed several advanced package platforms such as single, multi dies and 2D, 3D packaging by using FOWLP and embedding technologies. To fulfill SiP (system-in-package) with FOWLP, several dies and components have been embedded into one package which offers 40~90 % of volumetric shrink compared to the current module system with the flexibility of product design for end users. 3D package technology of PoP (Package on Package) structure will be introduced for communication module and system control application.


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Egor S. Manuylovich ◽  
Vladislav V. Dvoyrin ◽  
Sergei K. Turitsyn

Abstract Retrieval of the optical phase information from measurement of intensity is of a high interest because this would facilitate simple and cost-efficient techniques and devices. In scientific and industrial applications that exploit multi-mode fibers, a prior knowledge of spatial mode structure of the fiber, in principle, makes it possible to recover phases using measured intensity distribution. However, current mode decomposition algorithms based on the analysis of the intensity distribution at the output of a few-mode fiber, such as optimization methods or neural networks, still have high computational costs and high latency that is a serious impediment for applications, such as telecommunications. Speed of signal processing is one of the key challenges in this approach. We present a high-performance mode decomposition algorithm with a processing time of tens of microseconds. The proposed mathematical algorithm that does not use any machine learning techniques, is several orders of magnitude faster than the state-of-the-art deep-learning-based methods. We anticipate that our results can stimulate further research on algorithms beyond popular machine learning methods and they can lead to the development of low-cost phase retrieval receivers for various applications of few-mode fibers ranging from imaging to telecommunications.


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