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作者： Wu, Jin-Ping Peng, Zhi-Hong Chen, Jie School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Ministry of Education China

ISBN: (纸本)9783902661937

Low-altitude penetration is one of the most important military applications of Unmanned Aerial Vehicles (UAVs). 3D route planning, which is a complex multi-objective optimization problem with multiple constraints, is the key technology of UAV low altitude-penetration. A 3D route planning method based on Multi-Agent Genetic Algorithm (MAGA) is proposed in this paper. Specifically, a dynamic route representation form is proposed to improve the flight route accuracy. An efficient constraint handling method is used to simplify the treatment of multi-constraint and reduce the time-cost of planning computation. More importantly, details are presented to show how to apply MAGA to 3D route planning while some necessary improvements of MAGA are proposed to make it more efficient. Simulation and analysis illustrate the effectiveness of this method. © 2011 IFAC.

关键词： Military applications

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The new field power device based on super capacitor and it's application

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Binggong Xuebao/Acta Armamentarii 2012年第SUPPL2期33卷 417-422页

作者： Bai, Yong-Qiang Jin, Tian-Xu Wang, Hai-Jie School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing 100081 China Harbin Jurong New Power Co. Ltd. Harbin 150078 Heilongjiang China

Based on special demand of field power for artillery electric drive system and analysis of the existing power system, a new design of hybrid power device with super capacitor is proposed to replace the traditional battery, which is more suitable to the field requirements, and has more energy efficiency, greater power ratio, and energy ratio. The design criteria and formula are presented. Test results show that the hybrid device, compared with the traditional power device, has the advantages of high efficiency, high energy volume ratio, high weight ratio, strong environmental adaptability, and good lower temperature performances, and can meet the demand of power device in the field condition.

关键词： Energy efficiency

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Adaptive control of 6-DOF parallel manipulator

Adaptive control of 6-DOF parallel manipulator

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作者： Jin, Qinglong Chen, Wenjie School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 China

ISBN: (纸本)9789881725592

This paper presents an adaptive controller equipped with disturbance rejection capability for a 6 degrees of freedom (6-DOF) parallel manipulator. The control scheme is proposed given that the 6-DOF parallel manipulator system's parameters are all subject to uncertainties, and only the positions and the velocities of links are measurable. In this paper, the dynamics of the 6-DOF parallel manipulator is denoted in the Lagrange method, and, as well as an appropriate storage function, some important properties of the dynamics are derived to develop an adaptive controller which, by the penalty signal chosen, can drive the motion tracking error to zero asymptotically. Lyapunov theory is used to guarantee the stability of the system. Simulation results show that the 6-DOF adaptive control system has a good tracking performance in both normal and extreme limited working conditions. © 2011 Chinese Assoc of Automati.

关键词： Adaptive control systems

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Virtual realization of dynamic path planning in target-creator based on Vega/HLA

Virtual realization of dynamic path planning in target-creat...

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作者： Zhu, Wenbin Zhang, Juan Yu, Haixin Peng, Zhihong School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 China

ISBN: (纸本)9789881725592

The importance of testing for multi-targets detecting and tracking algorithms accelerates the current technologies of target-creator system which provides multiple and various targets. Traditional target-creator systems are mostly based on the physical devices or video stream. Based on the need of building virtual environment and realizing system integration, VR technology and HLA technology are applied to improve the efficiency. With VR technology, three-dimensional models and visual scenes are built effectively and method of dynamic path planning is put forward. Through HLA technology, targets position information will be interacted real time, so algorithm evaluation is available by comparing real positions and detection results. In this paper, a virtual target-creator system based on Vega/HLA is designed which cuts down the outlay and time of the experiment. © 2011 Chinese Assoc of Automati.

关键词： Motion planning

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Adaptive control of air delivery system for PEM fuel cell using backstepping

Adaptive control of air delivery system for PEM fuel cell us...

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作者： Li, Peng Chen, Jie Cai, Tao Zhang, Bo School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Ministry of Education Beijing 100081 China

ISBN: (纸本)9788995605646

The proton exchange membrane (PEM) fuel cells have attracted significant attention due to high efficiency and low pollution. The performance and lifetime of the fuel cell power system depend on the heat and water management, gas flow control and pressure regulation. This paper focuses on the oxygen excess ratio regulation for the fuel cell system to improve the performance and extend the lifetime. Firstly, a third-order model of the air delivery subsystem is introduced based on suitable assumption and simplification. Secondly, the third-order model is transformed to the non-affine nonlinear form, and the oxygen excess ratio regulation is reconsidered as load current tracking problem. Using the backstepping technique and neural network, an adaptive controller is proposed for the tracking problem and guarantees the system's stability in presence of modeling errors, external disturbances and uncertainties. Finally, the simulation illustrates the effectiveness of the adaptive controller. © 2011 Asian control Association.

关键词： Backstepping

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Multi-group consensus via pinning control with non-linear heterogeneous agents

Multi-group consensus via pinning control with non-linear he...

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作者： Sun, Wei Bai, Yongqiang Jia, Rui Xiong, Rui Chen, Jie School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Ministry of Education Beijing 100081 China

ISBN: (纸本)9788995605646

The agents connected by networks are capable to reach a prescribed state if only a small fraction of them are controlled with feedback information. The present work tries to stabilize groups of non-linear agents in a directed network onto a stable state with several equilibriums. The agent dynamics can be identical or heterogeneous. But the agents in the same group share a same non-linear model. The conditions to reach multiple consensus states are provided under both non-switching and switching topologies. The maximum number of heterogeneous equilibriums is discussed. It is proved theoretically and by simulations that under certain conditions, pinning control can lead a multi-group network to reach a multi-valued consensus state. © 2011 Asian control Association.

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Recursive blind LMS parameter identification for single-input multiple-output system

Recursive blind LMS parameter identification for single-inpu...

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作者： Chen, Jie Ma, Tao Chen, Wenjie Zhang, Bo School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Ministry of Education Beijing 100081 China

ISBN: (纸本)9788995605646

A blind least-mean-squares (BLMS) algorithm is proposed for the parameter identification of single-input multiple-output (SIMO) systems. Without requiring knowledge of a reference signal, it is proved that the presented parameter estimates almost sure converge to their real value under the assumption that the observed noises are mutually independent distributed additive white sequence with known variance. The noise variance of observed signal is estimated from the eigenvalues of a matrix related to observed signal sequence firstly. We back our theoretical findings with experiments showcasing the potential merits of the BLMS in practice. © 2011 Asian control Association.

关键词： Eigenvalues and eigenfunctions

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A Mean Square Average Consensus Protocol for Discrete-Time Double-Integrator Multi-Agent systems with Communication Noises

A Mean Square Average Consensus Protocol for Discrete-Time D...

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第七届中国多智能体系统与控制会议(MASC2011)

作者： Long Cheng Zeng-Guang Hou Yunpeng Wang Min Tan Zhiqiang Cao State Key Laboratory of Intelligent Control and Management of Complex System Institute ofAutomation State Key Laboratory of Intelligent Control and Management of Complex System Institute of Automatio

An average consensus protocol is proposed for discrete-time double-integrator multi-agent systems with communication noises under fixed topologies. The proposed consensus protocol is composed of two parts: the agent's own state feedback and the relative states between the agent and its neighbor agents. Due to the existence of communication noises, the relative states cannot be obtained accurately. To attenuate the noise effect, a time-varying consensus gain a(k) is applied to the relative states in the proposed protocol. Hence, the closed-loop dynamics of multi-agent systems is a linear stochastic difference equation with variable coefficients. Fortunately, the state transition matrix of this stochastic system can be solved, and the dynamical behavior of linear multi-agent systems can therefore be determined. It is proved that the proposed protocol is able to solve the mean square average consensus problem if and only if the topology graph is connected;and the time-varying gain a(k) satisfies the stochastic-approximation type conditions (Omission)。

关键词： consensus stochastic mean square multi-agent systems double-integrator

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Unsupervised robust adaptive filtering against impulsive noise

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Journal of systems Engineering and Electronics 2012年第1期000卷

作者： Tao Ma Jie Chen Wenjie Chen and Zhihong Peng School of Automation Beijing Institute of Technology Beijing 100081 P. R. China Key Laboratory of Complex System Intelligent Control and Decision(Ministry of Education) Beijing Institute of Technology Beijing 100081 P. R. China

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Electronic compass calibration based on Adaptive Differential Evolution Algorithm-Fourier Neural Network

Electronic compass calibration based on Adaptive Differentia...

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Chinese control Conference (CCC)

作者： Kun Gong Fang Deng Jie Chen School of Automation Beijing Institute of Technology Beijing Beijing CN Ministry of Education Key Laboratory of Complex System Intelligent Control and Decision Beijing Beijing CN Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Beijing CN

Based on the comparison of several common methods of electronic compass error compensation, this paper presents a new error compensation method based on Adaptive Differential Evolution-Fourier Neural Networks (ADE-FNN) to improve the measurement accuracy of electronic compass. This method uses Fourier neural network to model electronic compass error, and adopts Adaptive Differential Evolution to optimize the weights of neural network, and get more exact error model to compensate measured values. The compensation object is the common electronic compass composed by two-dimensional magnetic resistance sensor. Compared with the compensation effect of Least-square method, BP neural network and Fourier neural networks, It proves that the mode of this method can realize the high precision in the sample space mapping and high non-linear approximation ability, and this method has faster convergence rate, can avoid falling into local minima, reduces the training error, and improves error compensation accuracy. This method decreases the error range from -3.4° ~ 25.2° before compensation to -0.20° ~ 0.72°, and the average of the absolute error is 0.30°. Repeatability tests also proved the compensation plan have a good consistency.

关键词： Compass Error compensation Adaptive systems Electronic mail Neural networks Training Measurement uncertainty

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