检索结果-内蒙古大学图书馆

Soft sensor modeling of ball mill load via principal component analysis and support vector machines

7th International Symposium on Neural Networks, ISNN 2010

作者： Tang, Jian Zhao, Lijie Yu, Wen Yue, Heng Chai, Tianyou Key Laboratory of Integrated Automation of Process Industry Ministry of Education Northeastern University Shenyang 110819 China College of Information Engineering Shenyang Institute of Chemical Technology Shenyang 110142 China Departamento de Control Automatico CINVESTAV-IPN Av.IPN 2508 México D.F. 07360 Mexico

ISBN: (纸本)9783642129896

In wet ball mill, measurement accuracy of mill load (ML) is very important. It affects production capacity and energy efficiency. A soft sensor method is proposed to estimate the mill load in this paper. Vibration signal of mill shell in time domain is first transformed into power spectral density (PSD) using fast Fourier transform (FFT), such that the relative amplitudes of different frequencies contain mill load information directly. Feature variables at low, medium and high frequency bands are extracted through principal component analysis (PCA), which selects input as a preprocessing procedure to improve the modeling performance. Three support vector machine (SVM) models are built to predict the mill operating parameters. A case study shows that proposed soft sensor method has higher accuracy and better predictive performance than the other normal approaches. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Principal component analysis

来源：评论

学校读者我要写书评

暂无评论

Improving transient response of adaptive control systems using multiple neural network models

引用

7th International Symposium on Neural Networks, ISNN 2010

作者： Li, Xiao-Li Yu, Xiang Zhang, Yan Department of Automation Information and Engineering School University of Science and Technology Beijing Beijing 100083 China Key Laboratory of Advanced Control of Iron and Steel Process Ministry of Education University of Science and Technology Beijing Beijing 10083 China Graduate School of Education University of Pennsylvania 3451 Walnut Street Philadelphia PA 19104 United States

ISBN: (纸本)9783642129896

Multiple Radial Basis Function (RBF) neural network models are used to approximate a kind of discrete time nonlinear system described by a combination of nonlinear and linear part. Based on these models, Multiple model adaptive control strategy is given to improve the transient response of closed-loop system. Simulations according to different uncertain changing parameters in the model of the system are studied to show the efficiency of the proposed method. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Transient analysis

来源：评论

学校读者我要写书评

暂无评论

Modelling of mill load for wet ball mill via GA and SVM based on spectral feature

Modelling of mill load for wet ball mill via GA and SVM base...

引用

2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010

作者： Zhao, Lijie Tang, Jian Yu, Wen Yue, Heng Chai, Tianyou College of Information Engineering Shenyang University of Chemical Technology Shenyang I10142 China Key Laboratory of Integrated Automation of Process Industry Northeastern University Ministry of Education Shen yang Liaoning China Departamento de Control Automatico CINVESTAV-IPN Av.IPN 2508 México D.F. 07360 Mexico

ISBN: (纸本)9781424464388

The load of wet ball mill is a key parameter for grinding process, which affects the productivity, quality and energy consumption. A new soft sensor approach based on the mill shell vibration signal is proposed in this paper. As the frequency domain signal contains more evidently information than time domain, the power spectral density (PSD) of the vibration signal was obtained via fast Fourier transform (FFT). And then the mass and the central frequency of the small peaks of the spectrum are extracted as the spectral features. At last the support vector machines (SVM) is used to build the soft model. The parameters of SVM, the input variables including the mass and the central frequency of the peaks are selected by Genetic algorithm (GA). Experimental results show that proposed soft sensor model has higher accuracy and better predictive performance than the other normal approaches. © 2010 IEEE.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Nonperiodic cycle detection and application in gas liquid two-phase flow

Nonperiodic cycle detection and application in gas liquid tw...

引用

IEEE Instrumentation and Measurement Technology Conference

作者： Yuncheng Du Huaxiang Wang Dongping Du School of Electrical Engineering and Automation Tianjin Key Laboratory of Process Measurement and Control Tianjin University TJU China School of Mechanical Electronic and Information Engineering China University of Mining and Technology Beijing China

ISBN: (纸本)9781424428328;9781424428335

Nonperiodic cycle detection methods for gas/liquid two phase flow system were discussed. Cycle detection methods, such as Hurst analysis, the V statistic and the P statistic were briefly reviewed; in addition, a modified P statistic method was introduced. Two types of time series, i.e. mathematically sine wave time series and experimental electrical capacitance tomography time series of plug flow and slug flow under different flow conditions were investigated to verify the effectiveness of different cycle detection methods. The sine wave time series and sine wave time series under gauss noise were used to validate different cycle detection methods. For the electrical capacitance tomography time series of different flow regime, discrete wavelet transform (DWT) was adopted to decompose the original signal into approximate signal and detail signals, and then different cycle detection methods were mainly applied to realize cyclic characterization analysis of detail signals for plug flow and slug flow. The results show that the nonperiodic cycle characteristic analysis can reflect the property of different flow regimes.

关键词： Fluid flow Statistical analysis Discrete wavelet transforms Electrical capacitance tomography Plugs Phase detection Gaussian noise Wavelet analysis Signal analysis Time series analysis

来源：评论

学校读者我要写书评

暂无评论

Absolute stability of Lur'e singularly perturbed systems with multiple nonlinearities

Absolute stability of Lur'e singularly perturbed systems wit...

引用

作者： Yang, Chunyu Zhang, Qingling Chou, Jyh-Horng Zhang, Yingwei Key Laboratory of Integrated Automation of Process Industry Ministry of Education Northeastern University Shenyang 110004 China Institute of Systems Science Northeastern University Shenyang 110004 China Institute of System Information and Control Engineering National Kaohsiung First University of Science and Technology I University Road Yuanchau Kaohsiung 824 Taiwan

ISBN: (纸本)9781424474264

This paper investigates the absolute stability problem for Lur'e singularly perturbed systems with multiple nonlinearities. The objective is to determine if the system is absolutely stable for any Ε ∈ (0, Ε0], where Ε denotes the perturbation parameter and Ε0 is a pre-defined positive scalar. Firstly, an Ε-dependent Lyapunov function of Lur'e-postnikov form is constructed. Then, a stability criterion expressed in terms of Ε-independent linear matrix inequalities (LMIs) is derived. Finally, an example is given to show the feasibility and effectiveness of the obtained method. © 2010 AACC.

关键词： Stability criteria

来源：评论

学校读者我要写书评

暂无评论

Internal model control for hysteretic nonlinear systems based on support vector regression

Internal model control for hysteretic nonlinear systems base...

引用

World Congress on Intelligent control and automation (WCICA)

作者： Wenguang Zhang Jianqin Mao Yanhua Ma Beijing Key Laboratory of Measurement and Control Technology and System for Industrial Process Control & Computer Engineering School North China Electric Power University Beijing China School of Automation Science and Electrical Engineering Beijing Aeronautics and Astronautics University Beijing China

Aim at the hysteretic nonlinearity characteristic of the giant magnetostrictive actuator in control, an internal model control method based on support vector regression is presented in this paper. Its models are built by support vector regression using the input and output data of the actuator and the internal model control is achieved. The simulation results show the method in this paper has better control precision.

关键词： Support vector machines Actuators automation Data models Computational modeling Hysteresis Magnetostriction

来源：评论

学校读者我要写书评

暂无评论

Adaptive Tracking control of Underactuated Quadrotor Unmanned Aerial Vehicles via Backstepping

Adaptive Tracking Control of Underactuated Quadrotor Unmanne...

引用

American control Conference

作者： Mu Huang Bin Xian Chen Diao Kaiyan Yang Yu Feng Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin 300072 China Chinese State Nuclear Power Technology Corporation LTD Beijing 100140 China

ISBN: (纸本)9781424474264

This paper considers about the control problem for an underactuated quadrotor UAV system with model parameter uncertainty. Backstepping based techniques are utilized to design a nonlinear adaptive controller which can compensate for the mass uncertainty of the vehicle. Lyapunov based stability analysis shows that the proposed control design yields asymptotic tracking for the UAV's motion in x, y, z direction and the yaw rotation, while keep the stability of the closed loop dynamics of the quadrotor UAV. Numerical simulation results are provided to show the good tracking performance of proposed control laws.

关键词： Backstepping design control tracking control Adaptive tracking asymptotic tracking control law visual tracking Stability analysis

来源：评论

学校读者我要写书评

暂无评论

Improved multidisciplinary multiobjective collaborative optimization technique based on nsga-ii algorithm

Improved multidisciplinary multiobjective collaborative opti...

引用

IFAC International Workshop on "Supplemental Ways for Improving International Stability", SWIIS 2010 - Proceedings

作者： Li, H. Jing, Y. Zhang, S. Ojleska, V. Kolemisevska, T. Dimirovski, G.M. Key Laboratory of Integrated Automation of Process Industry Northeastern University Ministry of Education Shenyang 110004 China School of Information Science and Engineering Northeastern University 110004 Shenyang China Institute of ASE School FEIT SS Cyril and Methodius University Karpos II BB MK-1000 Skopje Macedonia Computer Eng. and Control Eng. Departments Dogus University TR-34722 Istanbul Turkey

ISBN: (纸本)9783902661920

The multiobjective collaborative optimization (MCO) has been widely adopted in concurrent engineering design as a good multiobjective optimization approach provided the problem of optimization results converging often to a local extremum has been taken care of. It has been demonstrated to yield useful solutions to a wide range of optimization problems under concurrent condition both technical and non-technical ones. A solution strategy for MCO that overcomes this drawback is proposed here on the grounds of genetic NSGA-II algorithm. It is an adaptive heuristic search technique that controls the distances between the individual and system's feasible region during genetic evolution. In the evolving NSGA-II based non-dominated sorting, the individual threshold of infeasibility degree is reduced gradually via genetic evolution and the individual's feasibility capacity is determined by its infeasibility degree and the threshold. It has been applied to a benchmark example of speed reducer design, and the obtained results demonstrate the proposed technique is comparably more efficient and may offer substantial advantages over the gradient-based optimization methods. © 2010 IFAC.

关键词： Multiobjective optimization

来源：评论

学校读者我要写书评

暂无评论

Fault Detection Filter Design for Linear Polytopic Uncertain Continuous-time Systems

引用

Acta Automatica Sinica 2010年第5期36卷 742-750页

作者： Heng WANG He-Hua JU Guang-Hong YANG College of Electronic Information and Control Engineering Beijing University of Technology Beijing 100124 P. R. China Key Laboratory of Integrated Automation for the Process Industry Ministry of Education Shenyang 110004 P. R. China College of Information Science and Engineering Northeastern University Shenyang 110004 P. R. China

The paper studies the problem of fault detection filter design for uncertain linear continuous-time systems. A design procedure dealing with parameter uncertainties is proposed for residual generation, the sensitivity to fault and the robustness against disturbances are both enhanced on residual outputs through satisfying some performance indexes. By the aid of the generalized Kalman-Yakubovich-Popov (GKYP) lemma, the fault sensitivity performance index can be dealt with in the given frequency range directly, which avoids approximations associated with frequency weights of the existing techniques. An iterative algorithm based on linear matrix inequality (LMI) is given to obtain the solutions. A numerical example is given to illustrate the effectiveness of the proposed methods.

关键词： Fault detection polytopic uncertainty Kalman-Yakubovich-Popov (GKYP) lemma linear matrix inequality (LMI)

来源：评论

学校读者我要写书评

暂无评论

Modelling of mill load for wet ball mill via GA and SVM based on spectral feature

Modelling of mill load for wet ball mill via GA and SVM base...

引用

International Conference on Bio-Inspired Computing: Theories and Applications, BICTA

作者： Lijie Zhao Jian Tang Wen Yu Heng Yue Tianyou Chai College of Information Engineering Shenyang University of Chemical Technology Shenyang China Key Laboratory of Integrated Automation of Process Industry Northeastern University Shen yang Liaoning China Departamento de Control Automatico CINVESTAV-IPN Mèxico Mexico

关键词： Support vector machines Genetic algorithms Gallium Irrigation

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：