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11th International Conference on Electrical Machines and systems, ICEMS 2.08

作者： Lei, Dong Xueping, Wang Zhen, Liu Xiaozhong, Liao Department of Automatic Control Beijing Institute of Technology China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education China

ISBN: (纸本)9787506292214

This paper presents a new soft switching bidirectional buck or boost DC-DC converter. Compared to the traditional bidirectional DC-DC converter, the new topology can be used as a buck converter or a boost converter in bidirectional cases for Hybrid Electric Vehicles (HEV) and Electrosorb Technology (EST) etc. This new converter has the advantages of simple circuit and control strategy, soft-switching implementation without additional devices, high power density, low cost, light weight and high reliability. The operating principle, theoretical analysis, and design guidelines are provided in this paper. The simulation and the experimental verifications are also presented.

关键词： Boost converter

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Group Behaviour control Based on Aggregation and Dilation

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IFAC Proceedings Volumes 2008年第2期41卷 6072-6077页

作者： Bin Xin Jie Chen Li-Hua Dou Zhi-Hong Peng Department of Automatic Control School of Information Science and Technology Beijing Institute of Technology Beijing 100081 Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Ministry of Education China Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Ministry of Education China

The phenomenon of aggregation and dilation(A&D) widely exists in nature. The mechanism behind it is regarded as the effect of some kind of attraction and repulsion(A&R). A&R control becomes a popular and promising way of controlling the structure and distribution of a group composed of several and even numerous individuals. This paper presents the concepts of aggregation, dilation and group evolution criticality based on group variance. We investigate the relationship between different levels of A&D as a foundation for the introduction of A&D analysis. The applications of A&D analysis and A&R control in several researches, including population-based optimization and group behavior control about multi-agent, are given in the form of simulation experiments.

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A Multi-objective Evolutionary Algorithm of Marriage in Honey Bees Optimization Based on the Local Particle Swarm Optimization

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IFAC Proceedings Volumes 2008年第2期41卷 12330-12335页

作者： Chenguang Yang Jie Chen Xuyan Tu Department of Automatic Control School of Information Science and Technology Beijing Institute of Technology Beijing China Education Ministry Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing China

Marriage in Honey Bees Optimization (MBO) is a new swarm-intelligence method, but existing researches concentrate more on its application in single-objective optimization. In this paper, we focus on improving the algorithm to solve the multi-objective problem and increasing its convergence speed. The proposed algorithm is named as multi-objective Particle Swarm Marriage in Honey Bees Optimization (MOPSMBO). It uses non-dominated sorting strategy and crowded-comparison approach, utilizes the local Particle Swarm Optimization (PSO) to perform the local characteristic, and simpler the structure of MBO. Based on the Markov chain theory, we prove that MOPSMBO can converge with probability one to the entire set of minimal elements. Simulations are done on several multi-objective test functions and multi-objective Traveling Salesman Problem (TSP). By comparing MOPSMBO with MOGA, NPGA, NSGA and NSGA-II, simulation results show that MOPSMBO has better convergence speed and can better converge near the true Pareto-optimal front.

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Adaptive fuzzy H control for friction compensation and disturbance rejection

Adaptive fuzzy H control for friction compensation and distu...

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2.th Chinese control Conference, CCC

作者： Li, Zhiping Chen, Jie Zhang, Guozhu Education Ministry Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9787900719706

An adaptive fuzzy H control scheme which possesses the strongpoint of adaptive fuzzy control and H control was proposed in this paper. The adaptive fuzzy control can compensate the nonlinear dynamic friction with its universal approximation function and strong robustness, while the H control can suppress the disturbance efficaciously. Finally, the closed-loop system stability and asymptotic position tracking performance were guaranteed by the Lyapunov function and the system tracking accuracy improved, which was verified by the simulation results.

关键词： Disturbance rejection

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Solution of Cannonball Dispersion Evenness Based on Estimation of Distribution Algorithm

Solution of Cannonball Dispersion Evenness Based on Estimati...

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7th World Congress on intelligent control and Automation (WCICA 2.08), vol.10

作者： Gaopeng Wang Lihua Dou Juan Zhang Chen Chen Education Ministry Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing China Beijing Institute of Technology Beijing Beijing CN

Cannonball dispersion evenness is the main parameter for the design and optimization of future air window. The key of solution of cannonball dispersion evenness is the computations of the biggest value and smallest value of a 2.dimensional continuous function, which has many maximum values and minimum values. Moreover, as it need to compute the biggest value and smallest value for many times in the design and parameter computation of FAW, the solution algorithm is required global convergence and quick convergence speed. Many randomly generated individuals are introduced in each generation to avoid local convergence, and in order to speed up the convergence speed, probability distribution models are founded to guide the searching process. By computer simulation verifying, the algorithm has the advantages of quick convergence speed and high precision of solution in certain generations compared to conventional genetic algorithm. The algorithm is also suitable for other optimizing solutions of 2.dimentional continuous function.

关键词： Future air window Cannonball dispersion evenness Estimation of distribution algorithm (EDA) 2.dimensional continuous function

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Stabilizability of Networked control systems via Packet-loss Dependent Output Feedback controllers

Stabilizability of Networked Control Systems via Packet-loss...

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2.08 American control Conference (ACC), vol.9

作者： Junyan Yu Long Wang Mei Yu Yingmin Jia Jie Chen Intelligent Control Laboratory Center for Systems and Control College of Engineering Peking University Beijing China Department of Automation North China Electric Power University Beijing China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing China

We consider the output feedback stabilizability of networked control systems with bounded packet loss. A packet-loss dependent Lyapunov function is adopted to design packet-loss dependent stabilizing output feedback controllers by resolving some linear matrix inequalities. Moreover, two types of packet-loss processes are discussed: one is the arbitrary packet-loss process, and the other is the Markovian packet-loss process. A numerical example and some simulations are worked out to demonstrate the effectiveness of the proposed design technique.

关键词： Networked control systems Output feedback control systems Switched systems State feedback Lyapunov method Linear matrix inequalities Electrical equipment industry Industrial control Sufficient conditions

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Packet-loss dependent controller design for networked control {2.s via switched {2. approach

Packet-loss dependent controller design for networked contro...

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IEEE Conference on decision and control

作者： Junyan Yu Long Wang Mei Yu Yingmin Jia Jie Chen Intelligent Control Laboratory Center for Systems and Control College of Engineering Peking University Beijing China Department of Automation North China Electric Power University Zhuxinzhuang Beijing China The Seventh Research Division Beihang University Beijing China Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing China

ISBN: (纸本)9781424431236

The stabilization problem of networked control systems with bounded packet loss is addressed. We model such networked control systems as a class of switched systems, and present sufficient conditions for the stabilization by using a packet-loss dependent Lyapunov function. Moreover, different from existing results, we propose the design for packet-loss dependent stabilizing controllers for two types of packet-loss processes: one is a arbitrary packet-loss process, and the other is a Markovian packet-loss process. Several numerical examples and simulations are worked out to demonstrate the effectiveness of the proposed design technique.

关键词： control systems Networked control systems Switched systems Sufficient conditions Optimal control Delay effects Communication system control Communication system traffic control Feedback control Electrical equipment industry

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complex Fault Tree Analysis Based on BDD Route-based Rules

Complex Fault Tree Analysis Based on BDD Route-based Rules

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7th World Congress on intelligent control and Automation (WCICA 2.08), vol.7

作者： Lin Zhu Jie Chen Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing China Department of Automatic control School of Information Science and Technology Beijing Institute of Technology Beijing China

Since traditional methods was limited in terms of accuracy of the solutions and the processing time required when dealing with large-scale complex fault tree (CFT), a new method for CFT analysis based on Binary decision Diagram (BDD) was introduced in this paper. Firstly, FT was decomposed by the proposed rule, Share-node CBDD connection rules were proposed to reduce the size of the intermediate BDD. Furthermore route-based BDD reduction rule was proposed and proved, with which intermediate BDD was reduction. The route sequence and cut sets can be gotten at the same time of BDD composition for FT analysis. Processing time and computational & storage complexity is greatly reduced by the proposed method. Finally, with an example the procedure of the proposed method is presented. The affectivity and practicability is also proved.

关键词： Fault Tree Binary decision Diagram Cut set Reduction rules

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Speed sensorless control with neuron MRAS estimator of an induction machine

Speed sensorless control with neuron MRAS estimator of an in...

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7th International Conference on Power Electronics and Drive systems, PEDS 2.07

作者： Lei, Dong Dong, Yang Xiaozhong, Liao Department of Automatic Control Engineering Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing China

ISBN: (纸本)1424406455

In the high speed range, vector control of rotor flux orientation of an induction machine implements good performance. However, the performance in low speed rang deteriorates because of the inaccurate estimation of rotor flux and speed. In this paper, modified voltage model for rotor flux estimation and neuron model-reference adaptive system (MRAS) for speed estimation are used to improve the performance of speed sensorless vector control. To improve the accuracy of rotor flux estimation, the stator resistance is identified on-line. The experimental results show that the proposed scheme yields improved performance in low speed range. © 2.07 IEEE.

关键词： Induction machine

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Prediction of wind power generation based on chaotic phase space reconstruction models

Prediction of wind power generation based on chaotic phase s...

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7th International Conference on Power Electronics and Drive systems, PEDS 2.07

作者： Lei, Dong Lijie, Wang Shi, Hu Shuang, Gao Xiaozhong, Liao Department of Automatic Control Beijing Institute of Technology China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education China Chu Kochen Honors College Zhejiang University China

ISBN: (纸本)1424406455

The development of wind generation has rapidly progressed over the last decade, but it must be integrated into power grids and electric utility systems. However, it cannot be dispatched like conventional generators because the pover generated by the wind changes rapidly because of the continuous fluctuation of wind speed and direction. So it is very important to predict the wind power generation. This paper discusses why the wind power generation can be predicted in short-term, and how to setup the construction of an ANN (Artificial Neural Network) prediction model of wind power based on chaotic time series. The analysis of modeling with low dimensions nonlinear dynamics indicates that time series of wind power generation have chaotic characteristics, and wind power can be predicted in short-term. Phase space reconstruction method can be used for ANN model design. The data from the wind farm located in the Saihanba China are used for this study. © 2.07 IEEE.

关键词： Electric utilities

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