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Chinese control Conference (CCC)

作者： Jing Li Junzheng Wang Jiali Mao Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology Beijing Beijing CN

Moving object detection is usually used in gray image, and the color image should be converted to gray images to achieve detection. However, the color object can't be described by simple gray information completely. In order to achieve automatic color moving object detection, the method based on automatic color clustering is especially proposed. Because the difference between adjacent pixels in an image is very small, the initial cluster center can be moved in the maximum distance. The proposed method can reduce the number of iterations and quicken convergence speed, meanwhile determine the number of color cluster and the location of the color object automatically. The proposed algorithm is validated in the actual system, experimental results show that the proposed method can automatically achieve color clustering for color image, while detect color objects.

关键词： Image color analysis Clustering algorithms Image segmentation Color Classification algorithms Object segmentation Object detection

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Linguistic Dynamic Analysis for Single Lane's Traffic Status Based on FCM

Linguistic Dynamic Analysis for Single Lane's Traffic Status...

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2014 International Conference on Informative and Cybernetics for Computational Social systems(ICCSS2014)

作者： Wang Jie Mo Hong Zhu Fenghua College of Electrical &Information Engineering Changsha University of Science &Technology State Key Laboratory of Management and Control for Complex System

The results of traditional traffic status analysis are mostly single values,whose accuracy can’t be determined;fuzzy c-means clustering(FCM)algorithm based on fuzzy theory can calculate the clustering center of plenty data quickly and easily;linguistic dynamic systems could describe the dynamic rules of complex systems in the language *** this paper,membership functions are decided by FCM;result of a specific time period taken as one example is obtained;it’s discussed that linguistic dynamic analysis of traffic status in different period within a day by the same method.

关键词： fuzzy c-means clustering algorithm linguistic dynamic systems traffic flow

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Immersion and Invariance based Adaptive Attitude Tracking control of a Quadrotor UAV in the Presence of Parametric Uncertainty

Immersion and Invariance based Adaptive Attitude Tracking Co...

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第三十三届中国控制会议

作者： Bo Zhao Bin Xian Yao Zhang Xu Zhang The Institute of Robotics and Autonomous System the Tianjin Key Laboratory of Process Measurement and ControlSchool of Electrical Engineering and Automation Tianjin University

ISBN: (纸本)9781479947249

In this paper, a new adaptive controller for a quadrotor unmanned aerial vehicle(UAV) is presented via Immersion and Invariance(I&I) approach. The quadrotor's dynamic model is subjected to some uncertain parameters such as the inertial moments, aerodynamic damping coefficients and so on. In particular, the mass-eccentric effects by the payloads are also *** all these uncertainties above, the proposed adaptive controller is still capable of driving the quadrotor UAV's attitude asymptotically to a desired trajectory. The stability analysis is performed by Lyapunov techniques and LaSalle's invariance theorem. Numerical simulation results illustrate the good tracking performance of the proposed scheme.

关键词： quadrotor,UAV,adaptive control,immersion and invariance,I&I

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Rotor design techniques for reducing the cogging torque in a novel dual-rotor axial field flux-switching permanent magnet machine

Rotor design techniques for reducing the cogging torque in a...

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International Conference on Electrical Machines and systems (ICEMS)

作者： Li Hao Mingyao Lin Da Xu Wei Zhang Nian Li Key Laboratory of Measurement and Control of Complex Systems of Engineering Southeast University Nanjing China Engineering Research Center for Motion Control of MOE Southeast University Nanjing China

ISBN: (纸本)9781479951635

Dual-rotor axial field flux-switching permanent magnet (DRAFFSPM) machine is a novel permanent magnet (PM) machine which incorporates the merits of both the flux-switching PM machine and the axial field PM machine. The cogging torque of the DRAFFSPM machine is high due to the flux focusing which is caused by the double salient structure. In order to reduce the cogging torque, the influence of the rotor pole width and shape on the cogging torque is analyzed based on the 3D finite element (FE) method. The cogging torque reduction methods, such as the rotor skewing, rotor notching, and rotor pole displacement, etc., are investigated. The results show that increasing the rotor pole width and adopting fan-shaped rotor pole can decrease the cogging torque greatly. The cogging torque can be reduced by ~77% when the rotor pole width and rotor fan-shaped angle are optimized to 15.5 deg. and 3 deg., respectively. The cogging torque can't be decreased by the rotor skewing for DRAFFSPM machine. However, the cogging torque can be reduced by rotor notching and rotor pole displacement.

关键词： Rotors Forging Torque Shape Stator windings Permanent magnet motors

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Improved ICCP algorithm and its application in gravity matching aided inertial navigation system

Improved ICCP algorithm and its application in gravity match...

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Chinese control Conference (CCC)

作者： Meiqi Liu Bo Wang Zhihong Deng Mengyin Fu School of Automation and National Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing Beijing CN

Considering two disadvantages in traditional gravity matching aided inertial navigation system, low matching accuracy and error accumulation, we propose an improved gravity matching algorithm and aided method for inertial navigation system. Instead of using the sequence sampling, the single point sampling is applied to improve the structure of proposed algorithm, enhancing the matching speed and efficiency. In the aided navigation system method, we use combination of Sage-Husa adaptive filter and strong-tracked Kalman filter to make further optimal estimation of the matching trajectory. Simulation results show the effectiveness of the real-time ICCP algorithm and the combined filter algorithm. Comparing to the traditional methods, proposed method provides higher matching and navigation accuracy.

关键词： Gravity Filtering algorithms Algorithm design and analysis Navigation Accuracy Filtering theory

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complex Terrain Perception based on Hidden Markov Model

Complex Terrain Perception based on Hidden Markov Model

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IEEE International Conference on Intelligent Transportation systems

作者： Meiling WANG Liang ZUO Yi YANG Qiangrong YANG Tong LIU School of Automation Beijing Institute of Technology Beijing China Key Laboratory of Intelligent Control and Decision of Complex System Beijing China

Terrain perception in complex environment is important for Autonomous Land Vehicle to drive automatically. In order to access the terrain information, in this paper, we present a terrain perception method based on Hidden Markov Model (HMM) which combines LIDAR with machine vision. On the basis of spatial fan-shaped model, terrain feature extraction is performed to acquire the observation model. Hidden markov models describe the vertical structure of the driving space and Viterbi algorithm is used for terrain classification. Then the navigation decision is given based on the perception of the complex environment. Experiment results show that the method can give an accurate environment description for ALV.

关键词： terrain perception sensor fusion feature extraction principal component analysis multihidden markov models

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Distributed Attitude Coordinated Tracking control for Multi-group Spacecrafts Based On Input Normalized Adaptive Neural Network

Distributed Attitude Coordinated Tracking Control for Multi-...

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American control Conference

作者： Xiangdong Liu Chao Gan Pingli Lu School of Automation BIT and the National Key Laboratory of Complex System Intelligent Control and Decision (BIT) China School of Automation BIT

ISBN: (纸本)9781479932757

In this paper, the distributed attitude coordinated tracking controller is presented for multi-group spacecrafts based on input normalized adaptive neural network. In contrast to the existing works about spacecraft formation flying(SFF), where all spacecrafts reach the same reference attitude asymptotically, we require that all spacecrafts track several leaders and each spacecraft only synchronize within its group leader, respectively. A distributed finite time observer is proposed for each spacecraft to obtain an accurate estimation of its corresponding reference attitude. A distributed attitude coordination controller based on input normalized neural network is proposed to guarantee that the whole spacecrafts track their corresponding reference attitude cooperatively. Based on Lyapunov theory, the stability of the overall closed-loop system is guaranteed, and numerical simulations are shown to demonstrate the effectiveness of the proposed controller.

关键词： SFF Distributed Attitude Coordinated Tracking control Multi-group Spacecrafts Based Spacecraft adaptive neural network tracking control Attitude ENTERING tracking controller Induction loop systems Distribute

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Robust Attitude Coordination control for Satellite Formation with Matched Perturbations and measurement Noises

Robust Attitude Coordination Control for Satellite Formation...

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American control Conference

作者： Xiangdong Liu Yaohua Guo Pingli Lu School of Automation BIT and the National Key Laboratory of Complex System Intelligent Control and Decision (BIT) China School of Automation BIT

ISBN: (纸本)9781479932757

In this paper, robust attitude coordination control for satellite formation is addressed in the presence of matched perturbations and measurement noise based on the development of reference model. The reference model generates a smooth and coordinated attitude reference trajectory(ART) for each satellite, which is favorable for the design of attitude tracking and formation keeping control law. The sliding mode control is applied such that the satellite formation controller is global robust against matched perturbations. To attenuate the influence of measurement noise on formation-keeping(i.e., H_∞-type performance), linear matrix inequality(LMI) method is used to design sliding-mode parameters. Finally, a numerical example is introduced to illustrate the efficiency of the proposed method.

关键词： Satellites Noise Attitude control Noise measurement Subspace constraints Trajectory Robustness

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Human-like walking patterns with pelvic rotation for a humanoid robot

Human-like walking patterns with pelvic rotation for a human...

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World Congress on Intelligent control and Automation (WCICA)

作者： Wen Zhang Qiang Huang Zhangguo Yu Gao Huang Xuechao Chen Jing Li Gan Ma Libo Meng Yan Liu Si Zhang Weimin Zhang Junyao Gao Ministry of Education Beijing Institute of Technology Beijing China Key Laboratory of Intelligent Control and Decision of Complex System Beijing China

Fast and stable walking is one of the important prerequisite for humanoid robots to serve the people. Pelvic rotations play a significant role when one walks fast. This paper proposes a method to generate human-like walking patterns with pelvic rotation in the transverse plane for a humanoid robot to effectively improve its quickness and stability. First, the regularities of pelvic rotation in the transverse plane during human walking are studied. Second, the mechanism design of a humanoid robot waist for pelvic rotations is presented. Then, a walking trajectory planning with pelvic rotation to improve the stability margin is proposed. Finally, the effectiveness of the method is demonstrated through simulations and experiments on BHR-5.

关键词： Legged locomotion Humanoid robots Trajectory Joints Pelvis Stability analysis

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Hybrid optimization of dynamic deployment for networked fire control system

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Journal of systems Engineering and Electronics 2013年第6期24卷 954-961页

作者： Chen Chen Jie Chen Bin Xin School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education

With applying the information technology to the military field, the advantages and importance of the networked combat are more and more obvious. In order to make full use of limited battlefield resources and maximally destroy enemy targets from arbitrary angle in a limited time, the research on firepower nodes dynamic deployment becomes a key problem of command and control. Considering a variety of tactical indexes and actual constraints in air defense, a mathematical model is formulated to minimize the enemy target penetration probability. Based on characteristics of the mathematical model and demands of the deployment problems, an assistance-based algorithm is put forward which combines the artificial potential field （APF） method with a memetic algorithm. The APF method is employed to solve the constraint handling problem and generate feasible solutions. The constrained optimization problem transforms into an optimization problem of APF parameters adjustment, and the dimension of the problem is reduced greatly. The dynamic deployment is accomplished by generation and refinement of feasible solutions. The simulation results show that the proposed algorithm is effective and feasible in dynamic situation.

关键词： deployment optimization artificial potential field （APF） constraint handling generation of feasible solutions memetic algorithm

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