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Li D.,Civil Aviation Management Institute of China
Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Because PBN(RNAV/RNP) has been implemented in some Chinese routes step by step, and the routes in China are the crossing track mainly, so the stress of the collision risk should be put on the crossing track. The author analyzed deeply the collision risk of intersecting routes based on PBN in this paper. First,the collision risk model of crossing track is built, and the calculating methods are concluded, the influence to the collision risk by the flight separation minima and required navigation performance is analyzed, the minimum separation in given parameters is defined, which offer the theoretical basis for defining the reduced separation minima of the crossing tracks. © 2014 IEEE. Source

Li W.,Civil Aviation Management Institute of China
2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015

In order to improve the cabin safety of civil aviation and reduce the accident or incident result from cabin crew fatigue, a cabin crew fatigue risk index system is formed through the deep study on the factors affecting cabin crew fatigue and the cabin crew questionnaires from an airline. Based on the order relation analysis method and specialists questionnaires, the weight of each factor is determined. Combination the 1490 cabin crew questionnaires with each self-assessment fatigue result by the cabin crew themselves, the fatigue risk value scope related to every fatigue rating is obtained. Finally, the cabin crew fatigue risk comprehensive evaluation model is established. The results show that this model can be used to evaluate the cabin crew fatigue risk for the airlines, and it is a scientific and objective way to measure and reflect fatigue state. © 2015 IEEE. Source

Li K.,Beihang University | Li K.,Civil Aviation Management Institute of China | Wang S.,Beihang University | Wang S.,Science and Technology on Aircraft Control Laboratory | Sullivan J.P.,Purdue University
Applied Thermal Engineering

This paper proposes a novel thermal network to calculate the maximum temperature-rise of hollow cylinder geometry, which is named as the maximum thermal network. Linear transformation and local linear fitting are applied to make the maximum temperature-rise of hollow cylinder represent by the maximum thermal network. One compensation unit is added into the maximum thermal network for the elimination of the error introduced by linear fitting. Moreover, an iterative algorithm is presented in this paper, which is used in the calculation of the maximum temperature-rise for the system composed of more than one hollow cylinder. At the end of the paper, the thermal model of an electric motor is built by the maximum thermal network whose accuracy is verified by comparing with finite-element analysis. © 2012 Elsevier Ltd. All rights reserved. Source

Ren Z.,Beihang University | Wang W.,Civil Aviation Management Institute of China | Shen Z.,Beihang University
Journal of Systems Engineering and Electronics

A new robust fault-tolerant controller scheme integrating a main controller and a compensator for the self-repairing flight control system is discussed. The main controller is designed for high performance of the original faultless system. The compensating controller can be seen as a standalone loop added to the system to compensate the effects of fault guaranteeing the stability of the system. A design method is proposed using nonlinear dynamic inverse control as the main controller and nonlinear extended state observer-based compensator. The stability of the whole closed-loop system is analyzed. Feasibility and validity of the new controller is demonstrated with an aircraft simulation example. Source

Sun L.,Tsinghua University | Sun L.,Civil Aviation Management Institute of China | Chen W.,Tsinghua University
Applied Energy

To achieve the targets in the Paris Climate Change Agreement, carbon capture, utilization and storage (CCUS) will be one of the critical carbon mitigation technologies. For China, the biggest carbon emitter with coal-dominated energy structure, CCUS is expected to play more and more important roles for carbon emissions reduction. This paper looks at a method for designing a pipeline network system for large-scale CO2 capture, utilization, and storage (CCUS) in China. On the basis of performing a moderately significant literature review of past papers and models dating back to the early 2000's, a updated multi-stage mixed integer programming (MIP) model for carbon source and sink matching (SSM) in ChinaCCUS DSS (Decision Support System) is developed. The Jing-Jin-Ji (Beijing-Tianjin-Hebei) region suffering from increasingly serious air pollution is chose as a case study to address the SSM issue with application of the updated model. The modeling results show that around 2200km pipeline with investment of around $1.6billion needed to be built to transport the cumulative sequestrated emissions of 1620Mt CO2 in the planning period of 2020-2050. Compared to the single-stage programming, the multi-stage programming could result to better pipeline connectivity. © 2016 Elsevier Ltd. Source

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