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第三十四届中国控制会议

作者： GAO Kehan XIONG Zihao YI Ke DONG Xiwang YANG Peng LI Qingdong REN Zhang Science and Technology on Aircraft Control Laboratory Beihang University

ISBN: (纸本)9789881563897

The ability of in-time,real-time and reliable fault detection is essential for liquid-propellant rocket engine to monitor its working *** Monitoring System(IMS) is a data-mining based real-time fault detection *** paper studies the problem that how to reduce the high false alarm rate when IMS is applied to monitor the system during trials or *** is found that the order of sample data and outliers of test data contribute a lot to the high false alarm *** reduce the interference evoked by the order of sample data and outliers of test data,an improved IMS method is proposed by rescheduling the sample data and processing outliers that may occur during the monitoring *** is performed to show that the improved IMS in this paper can decrease the false alarm rate while ensuring timeliness,reliability and accuracy of fault detection.

关键词： Liquid-propellant rocket engine fault detection Inductive Monitoring System

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The Design and Analysis of Hierarchical Decision-making for Manned/Unmanned Cooperative Engagement 34

The Design and Analysis of Hierarchical Decision-making for ...

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第三十四届中国控制会议

作者： HU Xiao YANG Lingyu ZHANG Jing Science and Technology on Aircraft Control Laboratory Beihang University

ISBN: (纸本)9781467374439

This paper mainly discusses M anned/Unmanned Cooperative Engagement. We prop ose a framework of hierarchical decision-makin g sy stem considerin g the requ irements of the manned/un manned integrated sy stem. Then we exp ound the p rocess of decision- makin g as well as the key techniques within two asp ects, the p ilots and the unmanned combat aerial veh icle. Three cases have been design ed and simu lated to demonstrate the eff ectiveness of the sy stem in executin g ap p ointed missions similar to these cases.

关键词： Cooperative engagement,UCAV,hierarchical decision-making,maneuver chain

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Adaptive Kalman Filter Based on Improved Second Order Mutual Difference Estimation

Adaptive Kalman Filter Based on Improved Second Order Mutual...

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2015 IEEE Advanced Information technology,Electronic and Automation control Conference(IAEAC 2015)

作者： Zhang Yixin Zhang Hai Science and Technology on Aircraft Control Laboratory Beihang University

ISBN: (纸本)9781479919796

In this paper,a method to compute noise variance and adapt measurement noise covariance matrix R in Kalman filter is *** construct a virtual redundant measurement using α-β-γ filter to apply the second order mutual difference estimation method,which estimate noise variance effectively,in single measurement to calculate noise *** statistical data selection algorithm is proposed to avoid inaccuracy caused by lag in the α-β-γ *** indicate this method is effective in R adaption with relatively low computation.

关键词： adaptive Kalman filter second order mutual difference estimation virtual redundant measurement candidate data selection a-fi-y filter

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A Predator-prey Particle Swarm Optimization Approach to Multiple UCAV Air Combat Modeled by Dynamic Game Theory

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IEEE/CAA Journal of Automatica Sinica 2015年第1期2卷 11-18页

作者： Haibin Duan Pei Li Yaxiang Yu the Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical EngineeringBeihang University (BUAA)

Dynamic game theory has received considerable attention as a promising technique for formulating control actions for agents in an extended complex enterprise that involves an adversary. At each decision making step, each side seeks the best scheme with the purpose of maximizing its own objective function. In this paper, a game theoretic approach based on predatorprey particle swarm optimization (PP-PSO) is presented, and the dynamic task assignment problem for multiple unmanned combat aerial vehicles (UCAVs) in military operation is decomposed and modeled as a two-player game at each decision stage. The optimal assignment scheme of each stage is regarded as a mixed Nash equilibrium, which can be solved by using the PP-PSO. The effectiveness of our proposed methodology is verified by a typical example of an air military operation that involves two opposing forces: the attacking force Red and the defense force Blue. © 2014 Chinese Association of Automation.

关键词： aircraft control Airships Combinatorial optimization Computation theory Decision making Military operations Military vehicles Particle swarm optimization (PSO)

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Mode-free Altitude control for Airship Based on Q-Learning and CMAC Network

Mode-free Altitude Control for Airship Based on Q-Learning a...

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2016 IEEE Chinese Guidance, Navigation and control Conference (IEEE CGNCC2016)

作者： Chunyu NIE Ming ZHU Zewei ZHENG Zhe WU School of Aeronautic Science and Engineering Beihang University Seventh Research Division Science and Technology on Aircraft Control LaboratoryBeihang University

ISBN: (纸本)9781467383196

A mode-free airship altitude control strategy is proposed based on Q-learning algorithm and CMAC(Cerebellar Model Articulation controller) ***,we designed an adaptive method to establish MDP(Markov Decision Process) model of airship altitude control on the foundation of analyzing actual ***,control strategy is learned online via Q-learning algorithm,and CMAC network is used to generalize the value function of ***,typical control tasks are carried out using a simulated low altitude *** strategy could be worked out without access to airship accurate dynamic *** show that the airship's MDP model parameters using the adaptive method are better matched with each other than using simple equally divided method,and CMAC networks could accelerate converge of *** strategy's effectiveness and stability is demonstrated by comparing with a PID controller.

关键词： Mode-free Altitude control for Airship Based on Q-Learning and CMAC Network

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Relative Motion Modeling and control for Autonomus UAV Carrier Landing

Relative Motion Modeling and Control for Autonomus UAV Carri...

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第28届中国控制与决策会议

作者： Ming Zhu Zhenghao Jin Zewei Zheng Liang Sun School of Aeronautic Science and Engineering Beihang University The Seventh Research Division Science and Technology on Aircraft Control LaboratoryBeihang University

In this paper,the relative motion model and control strategy for autonomous unmanned aerial vehicle(UAV)carrier landing are ***,a coupled six degrees of freedom(6-DOF) non-linear relative motion model is established from(6-DOF) UAV and carrier *** the(6-DOF) relative motion model is simplified to the four degree of freedom(4-DOF) model to facilitate the control design,because of the underactuated characteristic of two ***,the feedback linearization control law is proposed to control the UAV towards the aircraft carrier with constant forward,vertical velocity and lateral position and yaw ***,simulation results demonstrate the effectiveness of the proposed control system.

关键词： Carrier Landing control UAV Feedback Linearization 4-DOF control

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Model-free control for Stratospheric Airship Based on Reinforcement Learning

Model-free Control for Stratospheric Airship Based on Reinfo...

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第35届中国控制会议

作者： Chunyu NIE Ming ZHU Zewei ZHENG Zhe WU School of Aeronautic Science and Engineering Beihang University The Seventh Research Division Science and Technology on Aircraft Control Laboratory Beihang University

ISBN: (纸本)9781509009107

A model-free control strategy based on reinforcement learning algorithm is investigated for stratospheric ***, an adaptive method of discretizing airship state space is proposed after analyzing its motions, through which the MDP(Markov Decision Process) model of control is established on the foundation of actual motions. Then, to save computing time and avoid being trapped in "curse of dimensionality", data of actual actions online is collected as reference for virtual actions,and control input is worked out by learning from virtual actions offline. Finally, simulations of stratospheric airship's common tasks like hovering and path tracking are performed to demonstrate the effectiveness of the control strategy. Results show that the control strategy works well without access to airship accurate dynamic model. The algorithm's computational efficiency and convergence can meet requirements of practical application, and the precision makes it suitable for tasks like reconnaissance and communication. control results get better in limited constant wind than windless conditions.

关键词： Stratospheric Airship Reinforcement Learning Q-learning Markov Decision Process Path Planning

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Integration control design for a semi-strapdown seeker missile

Integration control design for a semi-strapdown seeker missi...

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第28届中国控制与决策会议

作者： Ke Yi Siyuan Liu Jianglong Yu QingDong Li Zhang Ren Junbiao Wu School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control LaboratoryBeihang University China Airborne Missile Academy

ISBN: (纸本)9781467397155

Semi-strapdown coordinator is located on the missile *** of the existence of the parasitic loop,the semi-strapdown coordinator stable tracking control loop is strongly coupled with the body attitude control *** a result,the stability and tracking performance of the coordinator is severely *** deal with the stability and tracking problem of the semi-strapdown coordinator,an integration control system is *** control law is designed based on backstepping *** choosing an appropriate feedback gain,the stability and dynamic performance of the system can be ***,the integration control system is verified by *** results show that the integration controller can solve the coupling problem between the semi-strapdown coordinator stable control and the body attitude *** designed system is stable and has a good dynamic convergence performance.

关键词： Semi-strapdown coordinator Stable tracking Attitude control Integration control

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Path Following control for a Stratospheric Airship with Constrained control Allocation

Path Following Control for a Stratospheric Airship with Cons...

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第28届中国控制与决策会议

作者： Hui Lv Zewei Zheng Ming Zhu Zhe Wu School of Aeronautic Science and Engineering Beihang University The Seventh Research Division Science and Technology on Aircraft Control LaboratoryBeihang University

ISBN: (纸本)9781467397155

A stratospheric airship with multiple actuators requires control allocation algorithm to meet the requirements of path following while respecting system *** paper proposes a constrained control allocation method for the stratospheric airship on the basis of vector field path following *** control system is divided into two levels,path following and control ***,the high level controller is designed to generate the virtual control inputs to low lever ***,the constrained control allocation is proposed to distribute the control command to every *** constrained control allocation can be transformed into a convex quadratic programming problem which can be solved by a recurrent neural ***,several simulations are given to prove the effectiveness of the control system.

关键词： Stratospheric Airship Path Following control Allocation Redundant control System

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Spacial Vector Field Path Following for a Stratospheric Airship

Spacial Vector Field Path Following for a Stratospheric Airs...

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第35届中国控制会议

作者： Ming Zhu Ye Tian Tian Chen Zewei Zheng School of Aeronautic Science and Engineering Beihang University The Seventh Research Division Science and Technology on Aircraft Control LaboratoryBeihang University

ISBN: (纸本)9781509009107

This paper presents a spacial path following method for stratospheric airship, which is based on the theories of 3-dimensions vector field and sliding mode control. Firstly, the dynamic model of the stratospheric airship, which is an under-actuated nonlinear system, is presented. Secondly, this paper presents a 3-dimensions vector field guidance method, which is based on the theory of plane vector field algorithm. Then, sliding model controller is designed to eliminate the inner-loop error. Finally, simulation results validate the proposed control algorithm.

关键词： Stratospheric Airship Path Following Vector Field Guidance Sliding Mode control

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