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Chinese control Conference (CCC)

作者： Li Yang Jia Zhang Fang Deng Jie Chen School of Automation Beijing Institute of Technology Beijing P.R. China Key Laboratory of Intelligent Control of Complex System Beijing P.R. China School of Automation Beijing Institute of Technology Beijing Beijing CN

In order to reduce the memory requirement, and obtain real-time status of equipment, the paper proposed to use the the on-line random forests (ORFs) algorithm to identify sensor fault. The sample set is derived from Tennessee Eastman (TE) process. The models are updated by a group of sensor data, which are collected in each interval. As models are real-time and dynamic, the equipment could be tested at any time. Moreover, the samples obtained at previous intervals are not need to store. The results of experiments show that the accuracies of ORFs and Random Forests (RFs) are similar in sensor fault diagnosis process. And in some fast changing process, ORFs distinguishes fault types with higher accuracy, better adaptable and faster than RFs.

关键词： Radio frequency Vegetation Fault diagnosis Decision trees Data models Training Feeds

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Real-time terrain estimation based on multi-scale radial basis function for unmanned ground vehicle

Real-time terrain estimation based on multi-scale radial bas...

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International Conference on Information and automation (ICIA)

作者： Yi Yang Zhili Wang Xinghe Li Mengyin Fu Beijing Institute of Technology Beijing China Nanjing University of Science and Technology Nanjing China School of Automation and State Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing China

ISBN: (纸本)9781509041039

Accurate terrain estimation is essential for unmanned ground vehicle (UGV) to achieve autonomous navigation. However, some existing approaches are difficult to reconstruct the 3D surface in real-time because of serious amount of computation. A method of environmental terrain estimation based on multi-scale radial basis function with a 3D lidar mounted on a moving vehicle was proposed in this paper. By combining kernel template with terrain grid map, the approach is applicable to the non-uniform density distribution of laser point cloud with the increasing detection range and improves the efficiency of calculation. What's more, the estimation of culverts and trees will be more accurate if treat the point cloud in separate layers for suspended obstacles problem. All terrain estimation approaches were verified with good performance in an interactive system, which is set up with Virtual Robot Experimentation Platform (VREP) and actual vehicle.

关键词： Three-dimensional displays Estimation Laser radar Kernel Lasers Surface reconstruction Real-time systems

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Resident electric vehicles charging optimization strategy in the smart grid 34

Resident electric vehicles charging optimization strategy in...

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34th Chinese control Conference, CCC 2015

作者： Ruiqin, Duan Zhongjing, Ma School of Automation Beijing Institute of Technology National Key Laboratory of Complex System Intelligent Control and Decision Beijing China

ISBN: (纸本)9789881563897

Considering the stochastic nature of electric vehicles (EVs) charging activities, this paper is dedicated to schedule the resident EVs charging load in the smart grid. Three important factors of the EV charging process are taken into account and studied, including the characteristics of EV battery, the start time of EV charging and the initial state-of-charging (SOC) of EV battery. We present a resident EVs charging optimization scheduling strategy to minimize the variation of total power load in the specified time period. And then we propose an approximate evaluation method for the corresponding optimization problem. The simulation results illustrate that the proposed EVs charging scheduling strategy will reduce the total power load curve difference of peak and valley, and the proposed method is very promising to improve the daily load profile of power system. © 2015 Technical Committee on control Theory, Chinese Association of automation.

关键词： Electric vehicle Optimization scheduling Probability model Smart grid

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Integration Weights Determination of Launch Equipment Hydraulic system Based on Indexes Coupling Characteristics 34

Integration Weights Determination of Launch Equipment Hydrau...

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第三十四届中国控制会议

作者： CHEN Chen WANG Yun TIAN Zhimin School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Mechanical Equipment

ISBN: (纸本)9781467374439

Launch equipment hydraulic system plays a vital role in completion of mission due to its stability and accuracy. This paper built an effectiveness evaluation index system based on comprehensive analysis of launch equipment hydraulic system, compared weighting factor determination mechanisms, and integrated independence factor into weight determination by combining the strong coupling feature of launch equipment hydraulic system indexes. The final weight was integrated and determined in four aspects, including importance weight, information weight, independence weight and credibility weight. Then, the paper obtained the system effectiveness evaluation results by utilizing system operation data, and provided theoretical and data reference for equipment selection and effectiveness improvement.

关键词： launch equipment,hydraulic system,effectiveness evaluation,indexes coupling,integration weights

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Design, modeling and control of a novel amphibious robot with dual-swing-legs propulsion mechanism

Design, modeling and control of a novel amphibious robot wit...

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IEEE/RSJ International Conference on intelligent Robots and systems, IROS 2015

作者： Yi, Yang Geng, Zhou Zhang, Jianqing Cheng, Siyuan Fu, Mengyin School of Automation and State Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781479999941

This paper describes a novel amphibious robot, which adopts a dual-swing-legs propulsion mechanism, proposing a new locomotion mode. The robot is called FroBot, since its structure and locomotion are similar to frogs. Our inspiration comes from the frog scooter and breaststroke. Based on its swing leg mechanism, an unusual universal wheel structure is used to generate propulsion on land, while a pair of flexible caudal fins functions like the foot flippers of a frog to generate similar propulsion underwater. On the basis of the prototype design and the dynamic model of the robot, some locomotion control simulations and experiments were conducted for the purpose of adjusting the parameters that affect the propulsion of the robot. Finally, a series of underwater experiments were performed to verify the design feasibility of FroBot and the rationality of the control algorithm. © 2015 IEEE.

关键词： Propulsion

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Architectural distortion recognition based on a subclass technique and the sparse representation classifier

Architectural distortion recognition based on a subclass tec...

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International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

作者： Xiaoming Liu Leilei Zhai Ting Zhu Zhou Yang School of Automation Huazhong University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan China College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China

ISBN: (纸本)9781509037117

Architectural distortion is the third most common sign of breast cancer in mammograms. The accurate recognition is important for computer aided diagnosis of breast cancer. However, due to the subtle symptom and complex structures in the mammogram images, it is difficult to recognize whether a region of interest (ROI) is truly an architectural distortion. In this paper, we proposed a new method for architectural distortion recognition. In the proposed method, several texture features are extracted for each region of interest, including features from GLCM matrix, spiculated related features, entropy features, etc. Feature selection is obtained by a sub-classes clustering based multi-task learning method (SMTL), which can utilize the discriminative label information and reflect the multi-clustering characteristic of the data samples. Finally, the powerful sparse representation based classifier is used for the classification of AD or non-AD. The proposed method has been tested on DDSM dataset and compared with several other methods, the experimental results showed the effectiveness of the proposed method.

关键词： Feature extraction Distortion Entropy Training Mammography Delta-sigma modulation Breast cancer

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Modeling and Optimization of Cooperative Interception and Guidance Allocation in Multi-Platform Air Defense

Modeling and Optimization of Cooperative Interception and Gu...

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第三十四届中国控制会议

作者： Jian Jia Zhihong Peng School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education

ISBN: (纸本)9781467374439

In the multi-platform air defense combat, platforms cooperate to achieve best effect. In the traditional air defense cooperation, assigning interception units has been paid more attention. Based on the existing task allocation model, we added the cooperative guidance and time window constraints to accord with the modern battle mode. An allocation method based on decentralized auctions is also proposed. Each platform employs the heuristic method to choose proper target and confirm the execution time, then resolve the conflict by consensus rules. This method is robust for communication network, besides it can avoid the single point of failure. Simulation results show this algorithm is significantly effective and satisfies the demand of real time.

关键词： Weapon Target Assignment,Cooperative,Modeling,Time Window,Decentralized Auction

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Adaptive fuzzy PD+ based spacecraft attitude maneuvering 11

Adaptive fuzzy PD+ based spacecraft attitude maneuvering

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2014 11th World Congress on intelligent control and automation, WCICA 2014

作者： Zhong, Li Chen, Zhen Liu, Xiangdong Yang, Dapeng Key Laboratory for Intelligent Control and Decision of Complex System School of Automation Beijing Institute of Technology Beijing China

This paper proposes adaptive fuzzy PD+ based controller for the attitude maneuver of rigid spacecraft. Based on the error of the system, the adaptive fuzzy PD+ based controller applies adaptive fuzzy algorithm to modify the gains of PD+ attitude controller online. The advantage of the adaptive fuzzy PD+ based controller is presented in simulation results. © 2014 IEEE.

关键词： Adaptive fuzzy PD+ based controller Attitude maneuver Rigid spacecraft

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Design, modeling and control of a novel amphibious robot with dual-swing-legs propulsion mechanism

Design, modeling and control of a novel amphibious robot wit...

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IEEE/RSJ International Conference on intelligent Robots and systems

作者： Yang Yi Zhou Geng Zhang Jianqing Cheng Siyuan Fu Mengyin School of Automation and State Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing China

关键词： Wheels Legged locomotion Propulsion DC motors Force

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Adaptive robust control for electrical cylinder with friction compensation usingmodified LuGre model

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Journal of Beijing Institute of Technology 2014年第3期23卷 358-367页

作者：郝仁剑王军政赵江波汪首坤 Key Laboratory of Intelligent Control and Decision of Complex System School of AutomationBeijing Institute of Technology

The position tracking control problem of an electrical cylinder in the presence of dynamic friction nonlinearities in its transmission process is addressed in this paper. First, a torque decou- piing approach is proposed to formulate the dynamic model. Secondly, to compensate the friction in the case of servo motion, a modified LuGre model is designed to make a continuous transition be- tween a static model at a high speed and a LuGre model at a low speed to avoid instability due to dis- cretization with a finite sampling rate. To accelerate the speed of estimating time-varying parame- ters, a fast adaption law is proposed by designing an attraction domain around a rough value related to the load force. Finally, a discontinuous projection based adaptive robust controller is synthesized to effectively handle parametric uncertainties for ensuring a guaranteed robust performance. A Lya- punov stability analysis demonstrates that all signals including tracking errors have the guaranteed convergent and bounded performance. Extensive comparative simulations with sinusoidal and point- point tracks are obtained respectively in low and high speeds. The results show the effectiveness and the achievable control performance of the proposed control strategy.

关键词： adaptive robust electrical cylinder friction compensation LuGre model

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