Institution
Northeastern University (China)
Education•Shenyang, China•
About: Northeastern University (China) is a education organization based out in Shenyang, China. It is known for research contribution in the topics: Microstructure & Control theory. The organization has 36087 authors who have published 36125 publications receiving 426807 citations. The organization is also known as: Dōngběi Dàxué & Northeastern University (东北大学).
Papers published on a yearly basis
Papers
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TL;DR: A new fault estimation method is proposed, where an intermediate variable is introduced and a specially designed intermediate estimator is proposed to estimate the state and the faults simultaneously by exploiting the properties of fault distribution matrix.
Abstract: This technical note investigates the problem of fault estimation for a class of nonlinear systems with Lipschitzian nonlinearities. In most of the existing fault estimation approaches, the observer matching condition should be satisfied. However, this condition is hard to meet for many systems. To overcome this restriction, a new fault estimation method is proposed, where an intermediate variable is introduced and a specially designed intermediate estimator is proposed to estimate the state and the faults simultaneously by exploiting the properties of fault distribution matrix. It is proved that the states of the error system are uniformly ultimately bounded. Simulation examples verify the effectiveness of the proposed method.
171 citations
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TL;DR: An appropriate control strategy is developed to control the interlinking converter to realize proportional power sharing between ac and dc microgrids and the system stability can be guaranteed by the Lyapunov method.
Abstract: This paper investigates the coordinated power sharing issues of interlinked ac/dc microgrids. An appropriate control strategy is developed to control the interlinking converter (IC) to realize proportional power sharing between ac and dc microgrids. The proposed strategy mainly includes two parts: 1) the primary outer-loop dual-droop control method along with secondary control; and 2) the inner-loop data-driven model-free adaptive voltage control. Using the proposed scheme, the IC, just like the hierarchical controlled distributed generator units, will have the ability to regulate and restore the dc terminal voltage and ac frequency. Moreover, the design of the controller is only based on input/output measurement data, but not the model any more, and the system stability can be guaranteed by the Lyapunov method. The detailed system architecture and proposed control strategies are presented in this paper. Simulation and experimental results are given to verify the proposed power sharing strategy.
171 citations
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TL;DR: Two scatter search algorithms with different combination operators, namely one with precedence preserved crossover combination operator and another with path-relink combination operator, are designed to solve the proposed model to model and optimize selective disassembly sequences subject to multiresource constraints to maximize disassembly profit.
Abstract: Disassembly modeling and planning are meaningful and important to the reuse, recovery, and recycling of obsolete and discarded products. However, the existing methods pay little or no attention to resources constraints, e.g., disassembly operators and tools. Thus a resulting plan when being executed may be ineffective in actual product disassembly. This paper proposes to model and optimize selective disassembly sequences subject to multiresource constraints to maximize disassembly profit. Moreover, two scatter search algorithms with different combination operators, namely one with precedence preserved crossover combination operator and another with path-relink combination operator, are designed to solve the proposed model. Their validity is shown by comparing them with the optimization results from well-known optimization software CPLEX for different cases. The experimental results illustrate the effectiveness of the proposed method.
171 citations
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TL;DR: Textured grinding wheels (TGWs) as mentioned in this paper are wheels that have both specially-designed active and passive grinding areas on their geometrically active surfaces, which allow TGWs to perform the intermittent grinding process such that total wheel-workpiece contact time, average grinding forces and temperature in the cutting zone can be reduced.
Abstract: Textured grinding wheels (TGWs) are wheels that have both specially-designed active and passive grinding areas on their geometrically active surfaces. The active area allows TGWs to perform the intermittent grinding process such that total wheel-workpiece contact time, average grinding forces and temperature in the cutting zone can be reduced. The passive area (or textures) refers to the non-grinding area where no grain is located at and the main functions of it include serving as reservoirs to transport more coolants/lubricants into the grinding zone and providing larger chip disposal space. With the increasingly demanding requirements from industries, the continuous evolution of TGWs has been enforced. However, to the best of the authors' knowledge, no comprehensive review on TGWs has been reported yet. To address this gap in the literature, this paper aims to present an informative literature survey of research and engineering developments in relation to TGWs, define and categorise TGW concepts, explain basic principles, briefly review the concept developments, discuss key challenges, and further provide new insights into understanding of TGWs for their advanced future engineering applications.
170 citations
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TL;DR: A critical review of chatter is presented, focusing on regenerative chatter and mode coupling chatter, and four directions for future research are presented, including integrating the chatter prediction, detection and suppression units into a smart machine tool or smart spindle.
170 citations
Authors
Showing all 36436 results
Name | H-index | Papers | Citations |
---|---|---|---|
Rui Zhang | 151 | 2625 | 107917 |
Hui-Ming Cheng | 147 | 880 | 111921 |
Yonggang Huang | 136 | 797 | 69290 |
Yang Liu | 129 | 2506 | 122380 |
Tao Zhang | 123 | 2772 | 83866 |
J. R. Dahn | 120 | 832 | 66025 |
Terence G. Langdon | 117 | 1158 | 61603 |
Frank L. Lewis | 114 | 1045 | 60497 |
Xin Li | 114 | 2778 | 71389 |
Peng Wang | 108 | 1672 | 54529 |
David J. Hill | 107 | 1364 | 57746 |
Jian Zhang | 107 | 3064 | 69715 |
Xuemin Shen | 106 | 1221 | 44959 |
Yi Zhang | 102 | 1817 | 53417 |
Tao Li | 102 | 2483 | 60947 |