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

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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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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Analysis of cutoff frequency in trapezoid tunnel using edge element method

Analysis of cutoff frequency in trapezoid tunnel using edge ...

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2012 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2012

作者： Zhang, Chuanlei Luo, Ji'an Zhang, Shanwen Sun, Jiping Department of Electrical and Computer Engineering Ryerson University Toronto ON M5B 2K3 Canada State Key Lab. of Industrial Control Tech. Zhejiang University Zhejiang 310027 China Department of Engineering and Technology Zhengzhou University Zhengzhou 451150 China D11 Xueyuan Road Haidian District Beijing 100083 China

ISBN: (纸本)9781467321839

The effect of cross section dimension in trapezoid tunnel on cutoff frequency is analyzed with edge element method. The variation of cutoff frequency in trapezoid tunnel with top side, bottom side and height changes are found, respectively. It comes to a useful conclusion that the cutoff frequency of trapezoid tunnel is determined by the larger one of tunnel's height and the average of tunnel's top side and tunnel's bottom side. A simple equivalent formula is given to calculate the dominant mode cutoff frequency in trapezoid waveguide. Computation results are presented to show the validity and the accuracy of the equivalent method. © 2012 IEEE.

关键词： Cutoff frequency

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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

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.

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

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Adaptive backstepping control of multi-model switching for the hydraulic servo position system of a rolling mill

Beijing Keji Daxue Xuebao/Journal of University of Science a...

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Beijing Keji Daxue Xuebao/Journal of University of Science and Technology Beijing 2012年第11期34卷 1346-1351页

作者： Shao, Peng-Zhen Fang, Yi-Ming Wang, Wen-Bin Jiao, Zong-Xia Hebei Key Lab. of Industrial Computer Control Engineering Yanshan University Qinhuangdao 066004 China School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China

To deal with the structure jumping problem resulting from elastic load force and external load force jumping in different working conditions, an adaptive backstepping control method of multi-model switching was presented based on the common Lyapunov function method and the adaptive backstepping method. This approach combines the features of adaptive backstepping control and the design requirements of a common Lyapunov function, and the adaptive controller for every sub-system and the parameter adaptive estimators for the uncertainty upper bound are designed by backstepping control, then taking the Lyapunov function designed by backstepping as a common Lyapunov function to ensure that the system is asymptotically stable under arbitrary switching. It is easy to select the common Lyapunov function by the combination of backstepping and the common Lyapunov function method, and the problem of parameter jumping and parameter slow time-varying existing at the same time is solved. Simulation results demonstrate that the designed controllers can ensure not only good dynamic and static performance for the hydraulic servo position system of a rolling mill, but also good robustness for the system parameter jumping and parameter slow time-varying.

关键词： Backstepping

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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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Introduction to time series search engine systems

Introduction to time series search engine systems

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International Conference on Systems and Informatics (ICSAI)

作者： Chuanlei Zhang Ji'an Luo Shanwen Zhang Chen Zhang Department of Electrical & Computer Engineering Ryerson University State Key Lab. of Industrial Control Tech. Zhejiang University Zhejiang China Department of Engineering and Technology Zhengzhou University China Discover Information Technology Limited Shanghai China

Basic structure of time series search engine system, involving acquisition, data processing and retrieval sub-systems, was elaborated. And options for time series search engine architectures and supported features and... 详细信息

关键词： Time series analysis Data mining Search engines Feature extraction Interpolation Data processing Indexing

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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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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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