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Institution

Harbin Institute of Technology

EducationHarbin, China
About: Harbin Institute of Technology is a education organization based out in Harbin, China. It is known for research contribution in the topics: Microstructure & Control theory. The organization has 88259 authors who have published 109297 publications receiving 1603393 citations. The organization is also known as: HIT.


Papers
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Journal ArticleDOI
TL;DR: This paper proposes a hybrid terminal sliding-mode observer based on the nonsingular terminal slide-mode (NTSM) and the high-order sliding- mode (HOSM) for the rotor position and speed estimation in the permanent-magnet synchronous motor control system.
Abstract: This paper proposes a hybrid terminal sliding-mode observer based on the nonsingular terminal sliding-mode (NTSM) and the high-order sliding-mode (HOSM) for the rotor position and speed estimation in the permanent-magnet synchronous motor control system. An NTSM manifold is utilized to realize both fast convergence and better tracking precision. In addition, a derivative estimator is used to obtain the derivative of the sliding-mode function. Meanwhile, an HOSM control law is designed to guarantee the stability of the observer and eliminate the chattering, so that smooth back-electromotive-force (EMF) signals can be obtained without a low-pass filter. According to the back-EMF equations, the rotor position and speed of the motor can be calculated. Simulation and experimental results are presented to validate the proposed method.

232 citations

Journal ArticleDOI
Na Wang1, Wenjie Ma1, Ziqiu Ren1, Yunchen Du1, Ping Xu1, Xijiang Han1 
TL;DR: In this article, porous nitrogen-doped carbon (PNC) microspheres derived from Zn-Co Prussian blue analogues (ZnCo PBAs) are employed as heterogeneous catalysts in peroxymonosulfate (PMS) activation.
Abstract: Nitrogen-doped carbon materials are becoming a new type of metal-free heterogeneous catalysts in advanced oxidation processes (AOPs) for wastewater treatment and environmental remediation. In this study, porous nitrogen-doped carbon (PNC) microspheres derived from Zn–Co Prussian blue analogues (Zn–Co PBAs) are employed as heterogeneous catalysts in peroxymonosulfate (PMS) activation. The unique configuration of the metal centers/clusters bound by cyanide groups (–CN) of Zn–Co PBAs offers the PNC microspheres abundant porosity, a high graphitization degree, and rich nitrogen substitution, which lead to improvements in the catalytic performance. PNC-800 (pyrolyzed at 800 °C) exhibits better performance than other common carbon materials and homologous nitrogen-doped carbocatalysts derived from ZIF-8/ZIF-67. Based on radical quenching and trapping experiments, a non-radical pathway is proposed to dominate methylene blue (MB) degradation; and the high graphitization degree and rich surface graphitic N sites of PNC-800 are two key factors that induce the non-radical pathway. Several influential factors, including catalyst dosage, PMS concentration, pH value and reaction temperature, are investigated in detail. Notably, MB degradation over PNC-800 is almost completely insusceptible to common ions and natural organic matter, and maintains its catalytic efficiency under the background conditions of several real water samples. More interestingly, this non-radical pathway and the good catalytic performance of the PNC-800/PMS system are universal in the degradation of other typical organic pollutants. We believe that these PNC microspheres may be a promising green heterogeneous catalyst for the degradation of organic pollutants, and this study can be used for the design of high-performance carbocatalysts in non-radical systems in the future.

232 citations

Journal ArticleDOI
TL;DR: In this article, an eco-driving system for an isolated signalized intersection under partially connected and automated vehicles (CAV) environment is proposed, which prioritizes mobility before improving fuel efficiency and optimizes the entire traffic flow.
Abstract: This research proposed an eco-driving system for an isolated signalized intersection under partially Connected and Automated Vehicles (CAV) environment. This system prioritizes mobility before improving fuel efficiency and optimizes the entire traffic flow by optimizing speed profiles of the connected and automated vehicles. The optimal control problem was solved using Pontryagin’s Minimum Principle. Simulation-based before and after evaluation of the proposed design was conducted. Fuel consumption benefits range from 2.02% to 58.01%. The CO2 emissions benefits range from 1.97% to 33.26%. Throughput benefits are up to 10.80%. The variations are caused by the market penetration rate of connected and automated vehicles and v/c ratio. No adverse effect is observed. Detailed investigation reveals that benefits are significant as long as there is CAV and they grow with CAV’s market penetration rate (MPR) until they level off at about 40% MPR. This indicates that the proposed eco-driving system can be implemented with a low market penetration rate of connected and automated vehicles and could be implemented in a near future. The investigation also reveals that the proposed eco-driving system is able to smooth out the shock wave caused by signal controls and is robust over the impedance from conventional vehicles and randomness of traffic. The proposed system is fast in computation and has great potential for real-time implementation.

232 citations

Journal ArticleDOI
TL;DR: In this article, the authors compared the properties of microalgae oil with traditional biodiesel production oils (vegetable oils), and reviewed the net energy ratio (energy output to energy input), GHG emissions, and economic analysis of the process of biodiesel extraction from micro algae; as well as discussed the factors which would influent the energy, environment, and cost of the extraction process.
Abstract: In recent years, biodiesel production has grabbed significant attention due to the awareness of fossil fuel exhaustion. Microalgae become interested feedstock candidate of biodiesel production as they have rapid growth rate and high oil content compared to crops. Efforts have been made to increase microalgae productivity and oil content. To investigate the potential of microalgae for biodiesel production, it is essential to knowledge if the microalgae oil is qualified as possible feedstock oil. Moreover, what would be the energy and environmental effect of the production? And whether the production cost would be reasonable? This paper compared the properties of microalgae oil with traditional biodiesel production oils (vegetable oils); the properties of the biodiesel produced from microalgae and vegetable oils; reviewed the net energy ratio (energy output to energy input), GHG emissions, and economic analysis of the process of biodiesel production from microalgae; as well as discussed the factors which would influent the energy, environment, and cost of the process.

232 citations

Journal ArticleDOI
TL;DR: While many other methods, such as expert system and artificial neural network, have been used in fault monitoring and diagnosis, SVM shows its advantage in generalization performance and in case of small sample and should attract more attention.

232 citations


Authors

Showing all 89023 results

NameH-indexPapersCitations
Jiaguo Yu178730113300
Lei Jiang1702244135205
Gang Chen1673372149819
Xiang Zhang1541733117576
Hui-Ming Cheng147880111921
Yi Yang143245692268
Bruce E. Logan14059177351
Bin Liu138218187085
Peng Shi137137165195
Hui Li1352982105903
Lei Zhang135224099365
Jie Liu131153168891
Lei Zhang130231286950
Zhen Li127171271351
Kurunthachalam Kannan12682059886
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023383
20221,896
202110,085
20209,817
20199,659
20188,215