Zhang W.,Baoji University of Arts And Sciences |
Ma H.,Shaanxi University of Technology |
Zhang J.,Baoji University of Arts And Sciences |
Chen L.,Troop |
Qu Y.,Baoji University of Arts And Sciences
Journal of Power Electronics | Year: 2015
This study investigates the multi-objective fuzzy optimization of crowbar resistance for the doubly fed induction generator (DFIG) low-voltage ride-through (LVRT). By integrating the crowbar resistance of the crowbar circuit as a decision variable, a multi-objective model for crowbar resistance value optimization has been established to minimize rotor overcurrent and to simultaneously reduce the DFIG reactive power absorbed from the grid during the process of LVRT. A multi-objective genetic algorithm (MOGA) is applied to solve this optimization problem. In the proposed GA, the value of the crowbar resistance is represented by floating-point numbers in the GA population. The MOGA emphasizes the non-dominated solutions and simultaneously maintains diversity in the non-dominated solutions. A fuzzy-set-theory-based is employed to obtain the best solution. The proposed approach has been evaluated on a 3 MW DFIG LVRT. Simulation results show the effectiveness of the proposed approach for solving the crowbar resistance multi-objective optimization problem in the DFIG LVRT. © 2015 KIPE.
Yang S.,National University of Defense Technology |
Zhang C.,National University of Defense Technology |
Wang P.,National University of Defense Technology |
2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2014 | Year: 2014
The aim of this paper is to present an integrated decision making framework for weapon application under uncertain environment. Within this framework, concise decision rules are extracted initially from original decision data based on fuzzy rough set theory. A set of appropriate weapon systems are identified through intuitionistic fuzzy reasoning using extracted fuzzy rules. Next, the optimal weapon system is selected from the set of alternatives by using fuzzy multi-attribute group decision-making methods. Then, the dynamic weapon-target assignment model is investigated on the basis of differential evolution algorithm. Ultimately, agile simulation provides a means for getting feedback on weapon system decisions. © 2014 IEEE.
Wang J.,Jilin University |
Yang Z.,Jilin University |
Liu S.,Jilin University |
Zhang Q.,Jilin University |
Advances in Mechanical Engineering | Year: 2016
With the increasing attention of energy saving and emission reduction technology, the recent application of hybrid powertrain technology affects the development of construction machinery industry. This article reviews these publications and provides comprehensive references. This article reviews the state-of-art for the hybrid wheel loader and excavator, which focuses on powertrain configuration, energy storage devices, and energy management strategies. The basis of classification and characteristic of each powertrain configuration are described. Advantages and disadvantages of batteries, supercapacitors, hydraulic accumulators, and flywheel used in hybrid construction machinery are summarized. The existing energy management strategies for hybrid construction machinery are also elaborated. The technological challenges and developing trends in the near future for hybrid construction machinery are discussed. © SAGE Publications Ltd, unless otherwise noted. Manuscript content on this site is licensed under Creative Commons Licenses.
Zhu X.,Dalian University of Technology |
Gao J.,Shandong University of Science and Technology |
Feng E.,Dalian University of Technology |
Xiu Z.,Dalian University of Technology |
Biotechnology and Applied Biochemistry | Year: 2013
In this paper, stability analysis and controller design in microbial continuous culture with discrete time delay are studied. The dissimilation process of glycerol to 1,3-propanediol cannot avoid the disturbances caused by time delay. Time delay can limit and degrade the achievable performance of controlled systems, and even induce instability. Based on the biodynamic model, some properties of its solutions are discussed. In addition, we investigate how the time-delay affects the stability of the system. A linear matrix inequalities method is applied to find a feedback controller to ensure the stability of the closed-loop system. The simulation results indicate that this controller might be feasible for continuous bioprocess control. © 2013 International Union of Biochemistry and Molecular Biology, Inc.
Hu P.,Zhengzhou University |
Shen J.,Zhengzhou University |
Proceedings - 2012 IEEE 12th International Conference on Computer and Information Technology, CIT 2012 | Year: 2012
Combining cloud computing and mobile computing, a frame of Operational Command Training Simulation System based on mobile cloud computing was proposed, which includes infrastructure, platform, support, application and middleware layer. And the detail design of middleware layer was described. Some key technologies of the layer were settled as: cloud service access adapter, cache management and consistency maintenance strategy, data blocking and parallel processing. The bottleneck of the mobile terminal with limited resources had been solved, and the distribution and interoperability of simulation systems were enhanced. © 2012 IEEE.