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第23届过程控制会议

作者： Meng Zong Fu Liyuan Song Minghou Key Laboratory of Measurement Technology and Instrumentation of Hebei Province Yanshan University Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University Qin

The nonlinear dynamical model of wind turbine generator drive system is presented considering nonlinear stiffness of the drive system. The frequency characteristics of wind turbine drive system incented by different forms, such as phase plane and Poincaré section are studied by simulation. The stability of wind turbine generator drive system is analyzed by using bifurcation and chaos theories. The stability of the periodic motion and the process of period-doubling bifurcation into chaos are further studied, and the effect of nonlinear stiffness on stability of wind turbine generator drive system is showed. The results show that negative nonlinear stiffness is beneficial to keep the stability of system, and when the chaos appears on the system, incentive parameter increases as the negative nonlinear stiffness increases.

关键词： Wind turbine generator system Drive system Dynamical model Nonlinear stiffness Bifurcation and chaos

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Sparse online LS-SVM based on modified particle swarm optimization algorithm and application

Sparse online LS-SVM based on modified particle swarm optimi...

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2012 3rd International Conference on Intelligent control and Information Processing, ICICIP 2012

作者： Zhang, Weiping Niu, Peifeng Li, Guoqiang Institute of Electrical Engineering Yanshan University China Qinhuangdao Institute of Technology CO 066100 China Key Lab. of Industrial Computer Control Engineering of Hebei Province National Engineering Research Center for Equipment and Technology of Cold Strip Rolling CO 066004 China Institute of Electrical Engineering Yanshan University CO 066004 China

ISBN: (纸本)9781457721427

In this paper, A simple and effective mechanism is proposed to realize the parsimoniousness of the online least squares support vector machine. Hence, the response time is curtailed. Besides, a modified Particle Swarm Optimization (PSO) algorithm is proposed to ascertain the optimal model parameters. Simulation results show that it outperforms GA and common PSO algorithms and LS-SVM model based on the modified PSO algorithm has the best regression accuracy and generalization ability. The sparse online LS-SVM algorithm is applied to build a turbine heat rate forecasting model, which possesses dynamic prediction functions. © 2012 IEEE.

关键词： Particle swarm optimization (PSO)

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Based on multi-sensor information fusion circulating fluidized bed boiler combustion process clustering control research

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Advances in Information Sciences and Service Sciences 2012年第3期4卷 35-43页

作者： Ma, Yunfei Niu, Peifeng Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 China National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Qinhuangdao 066004 China

Over the decade, due to the fact that the global energy resources are in deadly shortage, much emphasis is put on the energy consumption in thermal power throughout the world. Following developed is Circulating Fluidized Bed Boiler (CFBB) in recent years, a kind of combustion boiler that can clean and desulfurize the coal efficiently in the combustion process. Circulating Fluidized Bed Boiler (CFBB) is a control object with features of time varying parameters, large delay, and multivariable control tightly coupled. Noticeably, many factors influence the combustion process. This paper designs a three level ART2-BP-BP of data fusion--fusion cluster control system based on methods of multi-sensor information fusion and cluster analysis. It completes data fusion from the data level, the feature level to the decision level. Especially, the concept of Situation Threat Space aiming at the potential threats in CFBB is presented. Results of simulation show that the control system in this paper is feasible and effective, in particular, the control system still has more satisfactory control effect in the case of a variety of sensor failures.

关键词： Fluidized beds

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Iterative learning control for nonlinear systems with uncertain state delay and arbitrary initial error

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控制理论与应用（英文版） 2011年第4期9卷 541-547页

作者： Hongbin WANG Yan WANG Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao Hebei 066004 China

Most of the existing iterative learning control algorithms proposed for time-delay systems are based on the condition that the time-delay is precisely available, and the initial state is reset to the desired one or a fixed value at the start of each operation, which makes great limitation on the practical application of corresponding results. In this paper, a new iterative learning control algorithm is studied for a class of nonlinear system with uncertain state delay and arbitrary initial error. This algorithm needs to know only the boundary estimation of the state delay, and the initial state is updated, while the convergence of the system is guaranteed. Without state disturbance and output measurement noise, the system output will strictly track the desired trajectory after successive iteration. Furthermore, in the presence of state disturbance and measurement noise, the tracking error will be bounded uniformly. The convergence is strictly proved mathematically, and sufficient conditions are obtained. A numerical example is shown to demonstrate the effectiveness of the proposed approach.

关键词： Iterative learning control State-delay system Initial condition Uncertain disturbances

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Adaptive position tracking control for electro-hydraulic servo system with input saturation

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ICIC Express Letters 2012年第10期6卷 2699-2704页

作者： Shi, Shengli Fang, Yiming Li, Jianxiong Jiao, Zongxia Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University No. 438 Hebei Ave. Qinhuangdao 066004 China College of Science Yanshan University No. 438 Hebei Ave. Qinhuangdao 066004 China College of Automation Beijing University of Aeronautics and Astronautics No. 37 Xueyuan Road Haidian Dist. Beijing 100191 China

An adaptive controller is proposed for the position tracking of an electrohydraulic servo system with uncertainties and input saturation. Firstly, fuzzy logic is employed to approximate the unknown nonlinear uncertainties. And a nonlinear tracking controller is developed by combining the adaptive backstepping with H∞ control method. In addition, in order to tackle the input constraint, an auxiliary design system based on Lyapunov method is presented. The proposed controller not only can effectively avoid the problem of input saturation, but also can guarantee that the output tracking error satisfies the H-infinity performance. Finally, the simulation results testify the effectiveness of the proposed method. © 2012 ISSN.

关键词： Tracking (position)

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Bearing fault diagnosis based on multiple classifiers group of Fuzzy C Means

Bearing fault diagnosis based on multiple classifiers group ...

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Chinese control Conference (CCC)

作者： Li Xinbin Sun Xi Chen Yun Qiang key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China

ISBN: (纸本)9781467325813

In this paper, Fuzzy C-Means (FCM) is adopted to constitute multiple classifiers group to classify the bearing failure and its clustering centers are optimized by Particle Swarm Optimization (PSO) algorithm with global optimization and fast convergence characteristics. Classification recognition rate obtained by FCM is integrated by fuzzy integral information fusion system to gain the final result, in which fuzzy measure also is optimized by the PSO algorithm. Simulation of identifying the bearing inner race, outer race and rolling bodies fault, the results show that the classifier improves the recognition accuracy rate of the fault diagnosis.

关键词： Fault diagnosis Electronic mail Educational institutions Particle swarm optimization Classification algorithms Clustering algorithms Sun

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Sparse online LS-SVM based on modified particle swarm optimization algorithm and application

Sparse online LS-SVM based on modified particle swarm optimi...

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International Conference on Intelligent control and Information Processing (ICICIP)

作者： Weiping Zhang Peifeng Niu Guoqiang Li Institute of Electrical Engineering Qinhuangdao Institute of Technology Yanshan University China key Laboratory of Industrial Computer Control Engineering of Hebei Province National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Rolling China Institute of Electrical Engineering Yanshan University China

关键词： Prediction algorithms Heating Mathematical model Training Computational modeling Support vector machines Optimization

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Fault search based on grey fuzzy multi-attribute decision-making

Fault search based on grey fuzzy multi-attribute decision-ma...

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2011 International Conference on Fluid Power and Mechatronics, FPM 2011

作者： Yao, Chengyu Dang, Zhen Chen, Dongning Lv, Shijun Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China

ISBN: (纸本)9781424484522

In order to overcome the characteristics of uncertainty and incomplete information of fault attribute in searching for fault, a new fault search method based on the fault tree and grey fuzzy multi-attribute decision-making is proposed in this paper. Firstly, utilizing fault tree analysis (FTA) method to determine the initial fault alternative, fault probability and search cost of the fault alternative are considered as fault attributes simultaneously, the attribute value of fault alternative is described as grey fuzzy numbers, calculating the attribute weight by the information entropy method. Then, the grey relational grade between the fault alternative and the ideal alternative is calculated base on grey relational analysis method, and relative closeness of fault alternative is achieved. Finally, according to the relative closeness determine the search order of all fault alternatives. An engineering example of the hydraulic suspension system of a certain type truck is adopted to demonstrate the feasibility and accuracy of the proposed method. © 2011 IEEE.

关键词： Fault tree analysis

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PSO algorithm based PID parameters optimization of hydraulic screwdown system of cold strip mill

PSO algorithm based PID parameters optimization of hydraulic...

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2011 International Conference on Fluid Power and Mechatronics, FPM 2011

作者： Chen, Dongning Zhang, Guofeng Yao, Chengyu Key Lab of Heavy Machinery Fluid Power Transmission and Control of Hebei Province Yanshan University Qinhuangdao China Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China

ISBN: (纸本)9781424484522

Hydraulic screwdown system of cold strip mill is nonlinear, time-variant system and it is disturbed by many factors, so the turning quality of controller influences the accuracy of Automatic Gauge control (AGC). In this paper an optimum design method based on particle swarm optimization (PSO) algorithm is presented for PID controller parameters optimization of hydraulic servo screwdown system of one cold strip mill. With PSO algorithm it is fast to calculate PID controller parameters through minimizing the fitness function and searching on the given controller parameter space. Simulation shows that the PID controller turned by PSO algorithm can achieve better control performance than Genetic Algorithm (GA) in AGC system of one single stand reversing cold rolling mill. © 2011 IEEE.

关键词： Three term control systems

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A cooperation strategy based on bargaining solution in wireless sensor networks

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控制理论与应用（英文版） 2011年第1期9卷 121-126页

作者： Ma, Kai Guan, Xinping Zhao, Bin Wang, Juan Key Laboratory of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yanshan University Qinhuangdao Hebei 066004 China School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai 200240 China

This paper presents a symmetric cooperation strategy for wireless sensor networks, aiming to improve the transmission efficiency of the network. The cooperation strategy is implemented by partitioning the nodes into several cooperative groups. Then, in each group, the optimal cooperative bandwidth allocation is obtained based on Raiffa-KalaiSmorodinsky bargaining solution (RBS). Numerical results show that the symmetric cooperation strategy can improve the sensor node’s transmission efficiency dramatically.

关键词： Wireless sensor networks Cooperative diversity Bargaining solution Bandwidth allocation

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