检索结果-内蒙古大学图书馆

International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT)

作者： Puneet Mishra Vineet Kumar K. P. S. Rana Sreejith S. Nair Jitendra Kumar Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology New Delhi India

ISBN: (纸本)9781509000838

LabVIEW is one of the various programming platforms which is widely utilized by the researchers of fraternities form both industry and academia, due to its simple-to-use graphical programming environment and extra ordinary easy interface with the hardware. LabVIEW is equipped with various in-built toolkits to perform different measurement and control tasks. One of these tasks is solving an optimization problem which is often encountered by researchers from variety of fields viz. control engineering, civil design, machine design, digital signal processing, and economics etc. However, the standard LabVIEW package is equipped with only a single global optimization algorithm, i.e. Differential Evolution (DE) algorithm and there exists a need of other efficient global optimization techniques. This paper deals with same concern and an effort has been made to develop a widely established and practiced global meta-heuristic algorithm i.e. cuckoo search algorithm (CSA) in LabVIEW environment. To test the CSA implementation in LabVIEW environment, nine benchmark test functions have been used and a comparative study has been made with DE algorithm. It was found from the conducted studies that CSA was more efficient in solving optimization problems with better convergence rate and repeatability than DE.

关键词： Optimization Signal processing algorithms Algorithm design and analysis Convergence Linear programming Standards Benchmark testing

来源：评论

学校读者我要写书评

暂无评论

Proximal Support Vector Machine (PSVM) Based Imbalance Fault Diagnosis of Wind Turbine Using Generator Current Signals

引用

Energy Procedia 2016年 90卷 593-603页

作者： Hasmat Malik Sukumar Mishra Department of Electrical Engineering Indian Institute of Technology Delhi 110016 India Instrumentation and Control Engineering Division Netaji Subhas Institute of Technology Delhi 110078 India

This paper presents an intelligent diagnosis technique for wind turbine imbalance fault identification based on generator current signals. For this aim, Proximal Support Vector (PSVM), which is powerful algorithm for classification problems that needs small training time in solving nonlinear problems and applicable to high dimension applications, is employed. The complete dynamics of a permanent magnet synchronous generator (PMSG) based wind-turbine (WTG) model are imitated in an amalgamated domain of Simulink, FAST and TurbSim under six distinct conditions, i.e., aerodynamic asymmetry, rotor furl imbalance, tail furl imbalance, blade imbalance, nacelle-yaw imbalance and normal operating scenarios. The simulation results in time domain of the PMSG stator current are decomposed into the Intrinsic Mode Functions (IMFs) using EMD method, which are utilized as input variable in PSVM. The analyzed results proclaim the effectiveness of the proposed approach to identify the healthy condition from imbalance faults in WTG. The presented work renders initial results that are helpful for online condition monitoring and health assessment of WTG.

关键词： Wind turbine fault diagnosis proximal support vector machine empirical mode decomposition FAST

来源：评论

学校读者我要写书评

暂无评论

Analysis of model order reduction based on Mikhailov criterion

Analysis of model order reduction based on Mikhailov criteri...

引用

International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)

作者： Anuj Rawat Shyama Kant Jha Department of Instrumentation Control Engineering Netaji Subhas Institute of Technology New Delhi

Prodigious applications concerning control processes utilize vigorous systems for simulation purpose. The burgeoning requirements for further precise and broad depiction of reasonable phenomena lead to higher order vital systems which intern entails an increased computational effort. Hence, an approximation in terms of Reduced Order Model of these extensive systems becomes essential for a cost efficient simulation. This paper presents a new model algorithm for order reduction, which is based on proposed Mikhailov criterion. The efficacy of the new order reduction algorithm is demonstrated by truncating higher-order SISO an Automatic Voltage Regulator system. The simulation grades show the suitability of the projected algorithm.

关键词： Mathematical model Voltage control Regulators Reduced order systems Computational modeling Approximation algorithms Algorithm design and analysis

来源：评论

学校读者我要写书评

暂无评论

Feature Extraction using EMD and Classification through Probabilistic Neural Network for Fault Diagnosis of Transmission Line

Feature Extraction using EMD and Classification through Prob...

引用

International Conference on Power Electronics, Intelligent control and Energy Systems

作者： Aastha Aggarwal Hasmat Malik Rajneesh Sharma Dept. of Instrumentation and Control Engineering Netaji Subhas Institute of Technology Delhi University

ISBN: (纸本)9781467385886

In the presented work, an efficient model for classification of fault of a transmission line is proposed. The scheme proposed is the combination of Empirical Mode Decomposition and Probabilistic Neural Network for the classification of ten types of shunt fault. Post fault current signals are used for feature extraction for further study. Empirical Mode Decomposition (EMD) method is used to disintegrate the post fault current signals into Intrinsic Mode Functions (IMFs) and excerpt assertive features from it. The characteristic features of the first nine IMFs of each phase are used as input variable in a Probabilistic Neural Network (PNN) based intelligent fault classification model. For evaluating the expediency of the technique proposed, it is evaluated on a 500kV, 300 km length transmission line for all the ten types of faults using MATLAB/SIMULINK. A broad range of simulation quality is taken to train and test the data. Results simulated suggest that the proposed approach is quick learner, robust and has higher classifying accuracy.

关键词： EMD IMFs PNN fault Transmission Line

来源：评论

学校读者我要写书评

暂无评论

A Gaussian Shuffled Differential Evolution approach to Economic Load Dispatch Problem with valve point effect

A Gaussian Shuffled Differential Evolution approach to Econo...

引用

International Conference on Computing, Communication and Automation

作者： NANDAN KUMAR NAVIN RAJNEESH SHARMA Research Scholar Department of Instrumentation and control Engineering Netaji Subhas Institute of Technology New Delhi India Associate Professor Department of Instrumentation and control Engineering Netaji Subhas Institute of Technology New Delhi India

ISBN: (纸本)9781509016679

This paper proposes a Gaussian shuffled differential evolution (GSDE) for economic load dispatch problem. Proposed technique employs hybrid shuffled differential evolution with Gaussian mutation operator to blend differential evolution with shuffled frog leaping algorithm. Our approach uses shuffled Gaussian mutation operator for avoiding local optima during optimization and prevents prematurisation of convergence. Gaussian differential mutation operator imparts superior convergence efficiency and accuracy to the solution. We validate the effectiveness and superiority of GSDE by simulation on three diverse test system involving 13, 20 and 40 power generating units and compare performance against shuffled differential evolution, and with other recent techniques. Results demonstrate that proposed Gaussian shuffled differential evolution technique leads to faster and accurate solution to the economic load dispatch problem.

关键词： economic load dispatch gaussian shuffled differential evolution stochastic optimization evolutionary computation

来源：评论

学校读者我要写书评

暂无评论

Modeling and control of one-link robotic manipulator using neural network based PID controller

Modeling and control of one-link robotic manipulator using n...

引用

International Conference on Advances in Computing, Communications and Informatics (ICACCI)

作者： Rajesh Kumar Smriti Srivastava J. R.P Gupta Department of Instrumentation and Control Engineering Netaji Subhas Institute of Technology Dwarka New Delhi

ISBN: (纸本)9781509020300

The dynamics of one-link robotic manipulator is complex and non linear and hence, cannot be easily controlled by conventional PID controller. The severity of the problem further increases when the plant's mathematical model is unknown or partially known which makes the use of PID control more difficult because it requires the dynamics of the system for tuning its parameters. Even if the dynamics are known, the parameters of PID controller are required to be retuned when external disturbance signals and/or parameter variations occurs in the system. In this paper, the PID controller is implemented using a multilayer feed forward neural network (MLFFNN) for the desired trajectory tracking control of one-link robotic manipulator (plant). To make the controller adaptive, the dynamics of plant is assumed to be unknown and hence, a separate multilayer feed forward neural network identification model is used which will approximate the plant's dynamics and operate simultaneously with the controller. The other benefits of using an identification model is that it can adjust its own parameters to reflect the effects of the disturbance signal and parameter variations on the system and provides this information to the controller which then makes necessary adjustment to its output to compensate these effects. Simulation results shows that MLFFNN based PID controller is able to control the plant and provides the desired trajectory in the presence of parameter variations and disturbance signal.

关键词： Manipulator dynamics Mathematical model Neurons Trajectory Informatics

来源：评论

学校读者我要写书评

暂无评论

Time series prediction using focused time lagged radial basis function network

Time series prediction using focused time lagged radial basi...

引用

International Conference on Information technology (InCITe) - The Next Generation IT Summit on the Theme - Internet of Things: Connect your Worlds

作者： Rajesh Kumar Smriti Srivastava J. R. P. Gupta Department of Instrumentation and Control Engineering Netaji Subhas Institute of Technology Dwarka New Delhi

ISBN: (纸本)9781509026135

In this paper temporal processing of time series function has been done using radial basis function network. Radial basis function network structure is actually static but it has been converted into dynamic one using memory component. Proposed dynamic radial basis function network is called as focused time lagged radial basis function network (FTLRBFN). In a time series function, output at any given instant of time depends on the past values of the inputs. This feature is exploited while implementing the FTLRBFN. Back propagation algorithm based on gradient descent principle is used to adjust the parameters of radial basis function network. The proposed FTLRBFN is also implemented to simulate the complex time series function. The results so obtained show that FTLRBFN is effective in approximating any complex time series function. Comparison in terms of average mean square error is also made when multi layer feed forward neural network (MLFFNN) is used in the proposed scheme. It is found that the proposed scheme with radial basis function network has given less average mean square error as compared to that obtained with MLFFNN in the scheme.

关键词： Time series analysis Training Radial basis function networks Delay lines Mean square error methods Neurons Forecasting

来源：评论

学校读者我要写书评

暂无评论

Efficacy of system optimization by Genetic Algorithm with and without noise

Efficacy of system optimization by Genetic Algorithm with an...

引用

International Conference on Signal Processing and Integrated Networks (SPIN)

作者： Apeksha Tandon Fatima Mumtaz Geetika Jain Asha Rani Jyoti Yadav Division of Instrumentation and Control Engineering Netaii Subhas Institute of Technology New Delhi

ISBN: (纸本)9781467391986

The paper presents two plants which use proportional-integral-derivative (PID) controller for obtaining the desired transient response. Ziegler Nichols (ZN) and Genetic Algorithm (GA) tuning methods are employed on both the plants affected by band-limited white noise, and the optimized parameters (viz. Settling Time and Peak Overshoot) are compared. The efficacy of system optimization by GA is being tested so that both set point tracking and disturbance rejection are enabled, hence posing a servo as well as regulator problem. The result shows that GA proves to be more favorable for optimization of systems with or without noise as compared to ZN tuning method.

关键词： Genetic algorithms Tuning Optimization Sociology Statistics control systems Transient response

来源：评论

学校读者我要写书评

暂无评论

Wind Speed and Power Prediction of Prominent Wind Power Potential States in India using GRNN

Wind Speed and Power Prediction of Prominent Wind Power Pote...

引用

International Conference on Power Electronics, Intelligent control and Energy Systems

作者： Savita M.A. Ansari Nidhi Singh Pal Hasmat Malik School of Electrical Engineering Gautam Buddha University Division of Instrumentation and Control Engineering Netaji Subhash Institute of Technology

ISBN: (纸本)9781467385886

This paper introduces Generalized Regression Neural Network (GRNN) for long term wind speed prediction of major wind power potential states in India. The performance of proposed GRNN model is evaluated using the publicly available online dataset of National Aeronautics and Space Administration (NASA). Data samples of 26 cities are used for training the generalized regression neural network and remaining 5 cities data samples are used for testing purpose. Air temperature, earth temperature, relative humidity, daily solar radiation, elevation, latitude, heating degree days, cooling degree days, frost days, longitude and atmospheric pressure are used as input variables. Mean square error between measured and forecasted wind speed using training data samples and testing data samples are found to be 0.000042279 and 0.1543. Here it is important to impart that the proposed GRNN model is trained and tested with data samples of different geographical locations in order to make it feasible for wind speed prediction of any other location. Wind power of prominent wind power potential states in India are predicted by a variable pitch and speed control wind turbine G80-2MW.

关键词： Wind Speed Prediction Generalized Regression Neural Network Major Wind Power Potential Sites

来源：评论

学校读者我要写书评

暂无评论

A Modified Differential Evolution Approach to Emission Constrained Thermal Unit Commitment Problem

A Modified Differential Evolution Approach to Emission Const...

引用

International Conference on Power Electronics, Intelligent control and Energy Systems

作者： Nandan Kumar Navin Rajneesh Sharma Department of Instrumentation and Control Engineering Netaji Subhas Institute of Technology

ISBN: (纸本)9781467385886

Unit commitment problem (UCP) is complicated non-linear optimization strategy for the scheduling of power generating units. The emission constrained unit commitment problem (ECUCP) is used to acquire the switching status of generating units by incorporating different equality and inequality system constraints. The equality and inequality constraints are power generating limit;maximum allowable emissions limit of the generating units;minimum up/down duration and as well as spinning reserve constraints of the generating units. In this research;Modified Differential Evolution (MODE) optimization techniques have been implemented for solving the emission constrained unit commitment problem (ECUCP). Modified Differential Evolution (MODE) is an evolutionary algorithm in which initial population of the feasible appellant is created randomly. MODE has three operators for searching the global best solution i.e. modified Gaussian mutation;crossover and selection. The result of emission constrained unit commitment problem (ECUCP) has validated on IEEE 30 bus 6 generating unit systems and numerical solution has proved MODE as efficient optimization technique.

关键词： Unit Commitment Emission Dispatch Economic Dispatch Modified Differential Evolution Emission Constraints

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：