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Aviation Terminal Data Security Architecture Based on Blockchain

Journal of Physics: Conference Series 2020年第1期1575卷

作者： Zhiwei Chen Aidong Xu Hong Wen Yunan Zhang Xinchen Xu School of Aeronautics and Astronautics University of Electronic Science and Technology of China Chengdu 611731 China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province UESTC Chengdu 611731 China EPRI China Southern Power Grid Co. Ltd. Guangzhou China.

With the advent of the 5G era, the number of UAV (Unmanned Aerial Vehicle) has grown dramatically. Accordingly, UAV need more computing and storage capabilities to complete a variety of tasks (including some collaborative tasks). To meet the requirements of UAV terminals, edge computing nodes and storage devices need to be deployed. But the problem of trust between edge computing nodes will lead to a series of data security problems. The blockchain features, which contain detrust, immutable, decentralized, can solve this problem properly. Therefore, this paper establishes an aviation terminal data security architecture based on the blockchain. Edge computing nodes and storage devices provide computing and storage resources for UAVs. As the core operating mechanism of the architecture, blockchain technology guarantees that the system has Byzantine fault tolerance performance through its consensus algorithm. The blockchain data structure under this architecture also guarantees that the data access records of all nodes will be written on the ledger and the ledger is stored by all miner nodes.

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Optimized Kalman Filter Approach with Innovation-based Outlier Diagnosis

Optimized Kalman Filter Approach with Innovation-based Outli...

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IEEE Chinese Guidance, Navigation and control Conference (CGNCC)

作者： Baoshuang Ge Hai Zhang Wei Sheng Jieling Chen School of Automation Science and Electrical Engineering Beihang University Beijing China Science and Technology on Aircraft Control Laboratory Beihang University Beijing China School of Instrumental Science and Optical Electronics Engineering Beihang University Beijing China

ISBN: (数字)9781538611715

ISBN: (纸本)9781538611722

Due to the statistical property of measurement noise varying from time and outliers in engineering applications, the standard Kalman filter is oscillating or even divergent. To solve this problem, a new optimal method is proposed. The measurement covariance is estimated more precisely in time by a replacement of a posteriori covariance at last step with a priori covariance which contains more current information. A novel three-segment function allowing to simultaneously restrain the outliers and tune the a posteriori covariance is presented. The experimental results show that the proposed method outperforms the common robust adaptive filter.

关键词： Technological innovation Kalman filters Robustness Covariance matrices Noise measurement Estimation

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On Designing Sampled-Data Observer for Linear Time-Delay Distributed Parameter Systems

On Designing Sampled-Data Observer for Linear Time-Delay Dis...

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Chinese control Conference (CCC)

作者： Zi-Peng Wang Huai-Ning Wu School of Electrical Engineering University of Jinan Jinan P. R. China Science and Technology on Aircraft Control Laboratory Beihang University Beijing P. R. china

This paper considers the sampled-data observer design problem of linear time-delay distributed parameter systems (DPSs) described by partial differential equations (PDEs). By utilizing a Lyapunov functional, a sampled-data observer is proposed to stabilize exponentially the estimation error PDE. The stabilization condition is presented in the formulation of linear matrix inequalities (LMIs). Finally, simulation results of a numerical example are provided to illustrate the effectiveness of the proposed method.

关键词： Observers Symmetric matrices Estimation error Transmission line matrix methods Distributed parameter systems Linear matrix inequalities

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Event-triggered Model Predictive control Applied to Formation control for Multiple UAVs

Event-triggered Model Predictive Control Applied to Formatio...

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IEEE Chinese Guidance, Navigation and control Conference (CGNCC)

作者： Hui Zhou Zhihao Cai Jiang Zhao Jiang Lou Yingxun Wang Kun Wu Xiaolong Chen School of Automation Science and Electrical Engineering Beihang University Beijing China Beihang University Beijing China Flying College Beihang University Beijing China National Key Laboratory of Science and Technology on Aircraft Control Facri China

ISBN: (数字)9781538611715

ISBN: (纸本)9781538611722

The paper proposes an event-triggered model predictive control (MPC) scheme for formation control of multiple unmanned aerial vehicles (UAVs). A distributed MPC framework is designed in which each UAV only shares the information with its neighbors, and the obtained local finite-horizon optimal control problem (FHOCP) can be solved by swarm intelligent optimization algorithm. An event-triggered mechanism is proposed to reduce the computation burden for the distributed MPC scheme, which takes into consideration of the predictive state errors. Further, numerical simulations show that the proposed event-triggered MPC is more computationally efficient to achieve formation control of multiple UAVs in comparison with the tradition distributed MPC scheme.

关键词： Integrated circuits Nickel

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Multi-rotor UAVs Formation control and Avoidance technology Based on Ad-hoc Network Strategy

Multi-rotor UAVs Formation Control and Avoidance Technology ...

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IEEE Chinese Guidance, Navigation and control Conference (CGNCC)

作者： Yu Zheng Zhihao Cai Jiang Zhao Yingxun Wang Xuedong Zhao Dongliang Song School of Automation Science and Electrical Engineering Beihang University Beijing China school of college of mechanical and electrical engineering Nanjing University of Aeronautics and Astronautics China National Key Laboratory of Science and Technology on Aircraft Control Facri Xi’an China

ISBN: (数字)9781538611715

ISBN: (纸本)9781538611722

This paper uses five six-rotor UAVs as research objects, and focuses on the research of ad-hoc network, which is based on multi-rotor UAV's organization, maintain, reconstruction and obstacle avoidance. It takes flight test of the multi-rotor UAV's organization, which is based on ad-hoc strategy and the flight of anti-collision formation control system. The test results show that the formation of centralized control system has a stable and reliable way about communication and multi-vehicle formation. The latter is based on the optimization of single vehicle successfully tested formation construction, maintain, reconstruction and the anti-collision function in transforming formation's process. It has important reference value in engineering implementation for multi-rotor UAV's formation technology.

关键词： Fuels Ad hoc networks Shape Optimization TV Collision avoidance

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Exponential Stabilization of Nonlinear Parabolic PDE Systems via Sampled-Data Fuzzy control Approach 36

Exponential Stabilization of Nonlinear Parabolic PDE Systems...

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第36届中国控制会议

作者： Zi-Peng Wang Huai-Ning Wu Han-Xiong Li School of Electrical Engineering University of Jinan Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical EngineeringBeihang University Department of Systems Engineering and Engineering Management City University of Hong Kong

ISBN: (纸本)9781538629185

This paper investigates the exponential stabilization problem of nonlinear parabolic partial differential equation(PDE)systems via sampled-data fuzzy control approach. Initially, the nonlinear PDE system is accurately represented by the TakagiSugeno(T-S) fuzzy PDE model. Then, based on the fuzzy PDE model, a novel time-dependent Lyapunov functional is used to design a sampled-data fuzzy controller such that the closed-loop fuzzy PDE system is exponentially stable with a given decay rate. The stabilization condition is presented in terms of a set of linear matrix inequalities(LMIs). Finally, simulation results on the temperature profile of a catalytic rod show that the proposed design method is effective.

关键词： Exponential Stability Sampled-Data control Fuzzy control Parabolic PDE Systems Linear Matrix Inequality(LMI)

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Finite-time model-assisted active disturbance rejection control with a novel parameters optimizer for hypersonic reentry vehicle subject to multiple disturbances

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Aerospace science and technology 2018年 79卷 588-600页

作者： Yue Yu Honglun Wang Na Li Huiping Zhang Zikang Su Xingling Shao School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China Science and Technology on Aircraft Control Laboratory Beihang University Beijing 100191 China Unmanned System Research Institute Beihang University Beijing 100191 China School of Automation Beijing Institute of Technology Beijing 100081 China Beijing Aerospace Automatic Control Institute Beijing 100854 China Key Laboratory of Instrumentation Science & Dynamic Measurement Ministry of Education North University of China Taiyuan 030051 China National Key Laboratory for Electronic Measurement Technology School of Instrument and Electronics North University of China Taiyuan 030051 China

In this paper, a scheme which combines finite-time model-assisted active disturbance rejection control and novel greedy criterion-based salp swarm algorithm is developed for attitude tracking problem of hypersonic reentry vehicle with multiple disturbances. To simplify control structure, the control scheme is designed within the framework of active disturbance rejection control completely. To lessen tuning parameters, a sigmoid function-based tracking differentiator is employed to generate a more realizable attitude transient profile instead of utilizing conventional nonlinear tracking differentiator. Taking known model information as model-assisted term, finite-time model-assisted extended state observers are constructed to estimate the lumped disturbance in attitude and angular rate loop with employment of function fal . To achieve rapid response and strong robustness, finite-time model-assisted control laws are derived by utilizing function fhan . Finally, a novel greedy criterion-based salp swarm algorithm is used to optimize control parameters in finite-time model-assisted control laws to achieve optimal solution that minimizes the tracking error and energy consumption. Comparative simulations are conducted to illustrate the effectiveness of the proposed scheme.

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Numerical investigation of influence of structure and operating parameters on performance of vortex oil filter

Numerical investigation of influence of structure and operat...

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CSAA/IET International Conference on aircraft Utility Systems (AUS 2018)

作者： Wang Ning Chen Weijian Ning Guoli Ma Hui Key Laboratory of Aircraft Environment Control and Life Support MIIT Nanjing University of Aeronautics & Astronautics Nanjing P.R. China Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration Nanjing P.R. China

ISBN: (纸本)9781510872745

In this paper, the three-dimensional numerical simulation of solid-liquid two-phase flow in a vortex oil filter is performed by means of numerical simulation. The Reynolds stress turbulence model is used in the simulation flow field, and the DPM model is used for solid particle tracking. The influence of key structural parameters and operating parameters on the filtering effect was mainly studied, such as the inlet width, the size of the overflow pipe, the wall thickness and the insertion depth, the size of the cone angle and the length of the cone end. The results provide the basis for the rational design of the vortex oil filter.

关键词： Vortex oil filter Solid-liquid separation Turbulence model Numerical simulation

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Initial alignment of Inertial Navigation System based on a predictive iterated Kalman filter

Initial alignment of Inertial Navigation System based on a p...

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第37届中国控制会议

作者： Guanghao CHENG Songyin CAO Lei GUO Wenhua CHEN Department of Automation College of Information EngineeringYangzhou University National Key Laboratory on Aircraft Control Technology School of Instrumentation Science and Opto-Electronics EngineeringBeihang University Department of Aeronautical and Automotive Engineering Loughborough University

Inertial navigation systems（INSs） are widely used in practical applications. This paper considers the problem of initial alignment for an inertial navigation system. As the modeling error of an INS is difficult to be measured accurately, it will decrease the accuracy of the initial alignment. In this paper, a predictive iterated Kalman filter（PIKF） is proposed for a class of INSs with the modeling error and Gaussian noise. Firstly, the modeling error is estimated by a predictive filter. Then, in order to reduce the error between the one step prediction of Kalman filter and the true value, a new filtering method combining a predictive filter with an iterative Kalman filter is used to improve the alignment accuracy. Finally, simulations for the stationary alignment of an INS are given to show the efficiency of the proposed approach.

关键词： Inertial Navigation System Initial alignment Predictive filter Kalman filter Iterative filter

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Duck pack algorithm—A new swarm intelligence algorithm for route planning based on imprinting behavior

Duck pack algorithm—A new swarm intelligence algorithm for ...

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第29届中国控制与决策会议

作者： Shen'ao Yan Weihong Wang Sentang Wu Ke Lu Science and Technology on Aircraft Control Laboratory Beihang University Science and Technology on Rotorcraft Aeromechanics Laboratory

In this paper,by studying the foraging behavior of ducks,a new bionic clustering intelligent algorithm-duck pack algorithm(DPA) is proposed and applied to route *** foraging behavior of the duck pack is dependent on imprinting behavior and food orientation,and this is why the ducks are different from other kinds of *** obtain the duck pack algorithm,the imprinting behavior and food orientation are abstracted into two operators and then the two operators are merged into an iterative *** the DPA is applied to route planning,and it can be found that DPA converges more quickly and the path generated by the DPA algorithm is smoother than that generated by the standard *** shows the reasonableness of the algorithm,and proves that the DPA algorithm is superior to the standard DE algorithm in stability and superiority.

关键词： group intelligence imprinting behavior duck pack algorithm(DPA) route planning

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