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IEEE International Conference on Power Electronics, Intelligent control and Energy Systems (ICPEICES)

作者： S.K. Jha Shivam Singhal Sanchit Gupta Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology Delhi India

ISBN: (纸本)9781467385886

In this paper, to ind a lower order model equivalent to a given higher order system, a simple method based on T.C Hsia's approximation method is proposed. To examine the accuracy of the proposed method, it is compared with the Hutton and Friedland's approach which uses α and β parameters. To demonstrate the correctness and efficacy of the proposed method, a fourth order system is reduced to first and second order using both the methods. The various performance indices of the reduced systems, obtained from the graphs plotted in Matlab platform are compared and analysed.

关键词： MATLAB

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Analysis of model order reduction based on Mikhailov criterion

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

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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

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Development of Ant Lion Optimizer toolkit in LabVIEW™

Development of Ant Lion Optimizer toolkit in LabVIEW™

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International Conference on Innovation and Challenges in Cyber Security (ICICCS-INBUSH)

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

ISBN: (纸本)9781509020850

Metaheuristic or nature inspired optimization have evolved over time towards development of a general purpose optimizer. In this paper, a novel nature inspired algorithm, based on hunting mechanism of antlions, Ant Lion Optimizer toolkit is developed in LabVIEWTM environment. This paper provides an orderly procedure for development of toolkit including random walk of ants, building of traps, catching of prey and finally rebuilding of traps. LabVIEWTM is a highly productive development environment used largely in measurement and control applications. The only standard optimizer toolkit available in LabVIEW™ is Differential Evolution (DE) and therefore a need was felt to have an efficient optimizer. The toolkit so evolved in this paper when tested on different benchmark functions has performed adequately well over the DE toolkit. The results so obtained clearly prove that the submitted toolkit is able to provide superior results in terms of improved exploration, local optima avoidance, exploitation, and convergence.

关键词： Optimization Sociology Statistics Algorithm design and analysis Mathematical model Wheels Indexes

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

A Gaussian Shuffled Differential Evolution approach to Econo...

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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

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

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

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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

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Time series prediction using focused time lagged radial basis function network

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

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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

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Comparative analysis of order reduction techniques

Comparative analysis of order reduction techniques

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Computational Intelligence on Power, Energy and controls with their impact on Humanity (CIPECH), Innovative Applications of

作者： Nitisha Shrivastava Pragya Varshney Division of Instrumentation & Control Engineering Netaji Subhas Institute of Technology New Delhi India

ISBN: (纸本)9781467390811

The mathematical models used to represent physical processes are generally large and complex. Since simpler models are commonly employed in control, design and analysis, it is required to reduce the order of complex systems. This paper presents a comparative analysis of the performance of four order reduction methods. The computation of the lower order transfer functions is based on balance truncation algorithm, Hankel operator, moment matching and optimization algorithm. To demonstrate the performance of the reduction methods, second and third order transfer functions are computed for a plant model of fractional order. The integer transfer function of the plant model is obtained by applying Oustaloup filter approximation technique. For comparison of the reduction methods with ideal response, the analysis has been done both in frequency-domain and time-domain using MATLAB.

关键词： Mathematical model Transfer functions Integrated circuit modeling Computational modeling Conferences Instruments Reduced order systems

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Cuckoo search implementation in LabVIEW

Cuckoo search implementation in LabVIEW

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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

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

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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

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Electrical impedance model of piezoelectric based sensor

Electrical impedance model of piezoelectric based sensor

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IEEE International Conference on control, Measurement and instrumentation

作者： Paramita Banerjee Samhita Dasgupta Ratna Ghosh Bhaswati Goswami Applied Electronics and Instrumentation Engineering Gurunank Institute of Technologgy Control & Instrumentation Engineering Department of Electrical Engineering Netaji Subhas Engineering College Instrumentation and Electronics Engineering Jadavpur University

ISBN: (纸本)9781479988501

An electrical impedance model of a thin disc piezo based sensor, used for resonance frequency analysis, is proposed in this paper. The sensor consists of the piezo element attached to a metallic strip with some adhesive and so, the response of the sensor is dependent on the geometry and modes of vibration of both the piezo element and the metallic strip attached to it. The experimentally measured impedance responses of the piezo elements and the corresponding sensors are compared with the simulated responses to validate the proposed model. The study reveals the effects of the various aspects of the piezo and the effect of addition of the metallic strip on the sensor response in terms of various impedance blocks.

关键词： Impedance response Piezo element Sensor Electrical model Resonance frequency analysis

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