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International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions)

作者： S. Pradeep Asha Rani Vijander Singh Shivangi Agarwal University of Delhi Delhi Instrumentation and Control Engineering Division Netaji Subhas Institute of Technology Dwarka New Delhi

The aim of the present work is to pick and place an object with the help of robotic manipulator using computer vision. Real time object detection is achieved using a camera to capture the image in the region of interest (ROI). 2-D correlation between the object and captured image, along with image processing techniques, locates the object position. The pixel coordinates are then converted to real time distance coordinates. The object location is conveyed to the robotic arm with the help of software instructions and required operation of pick/place is performed. The object is successfully located and grabbed by the robotic arm, provided the relative position of the robotic arm and the camera is fixed. The method uses two-dimensional image analysis in place of three-dimensional object detecting techniques. Hence the proposed algorithm is simple, requires less memory space, does not require any filter, reduces the instruction set and has high accuracy.

关键词： Robot kinematics Cameras Robot vision systems Correlation Object detection Manipulators

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Efficient IIR notch filter design using Minimax optimization for 50Hz noise suppression in ECG

Efficient IIR notch filter design using Minimax optimization...

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IEEE International Conference on Signal Processing, Computing and control (ISPCC)

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

ISBN: (纸本)9781479984374

Quality of Electrocardiogram (ECG) signal is very important for patient health diagnostics. ECG consists of frequencies ranging from 0.01 - 300Hz, while being a very small magnitude signal. ECG usually gets corrupted by the 50Hz power line interference (PLI). Thus, filtering out the PLI is a necessary task for the right diagnostics. In this work a second order efficient digital infinite impulse response (IIR) notch filter is designed to suppress PLI. For this task, Minimax optimization technique has been utilized to minimize the root mean square error (RMSE) defined as the difference of magnitude response of ideal and proposed IIR notch filter designs. The optimization process was able to set pole position close to the unit circle and the pass band gain is so chosen so as to have symmetrical performance resulting in attenuation at 50Hz notch of -260dB, a gain of 0.995 and -3dB bandwidth of 2.375Hz. The performance of the designed filter has been investigated theoretically as well as validated experimentally on a contaminated ECG signal and a pure sinusoid signal of 50Hz on field programmable gate array (FPGA) in the LabVIEW environment. In simulation, a power spectral density (PSD) of -30dB has been achieved for the simulated ECG signal originally having 4dB PSD at 50Hz and an attenuation of -30dB in PSD has been obtained for a pure sinusoidal signal. The designed filter was also implemented on FPGA a PSD of -26dB was obtained for ECG at 50Hz and -26dB for sinusoidal signal, respectively. Based on these studies it can be concluded that the proposed Minimax based notch filter design is an efficient one.

关键词： Notch filters Finite impulse response filters IIR filters Electrocardiography Optimization Adaptive filters

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Rational approximation of fractional order systems using Carlson method

Rational approximation of fractional order systems using Car...

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International Conference on Soft Computing Techniques and Implementations (ICSCTI)

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

Fractional order systems can be modeled more adequately using fractional calculus theory rather than integer calculus. Since fractional order system is an infinite dimensional filter, proper approximation of the infin... 详细信息

ISBN: (纸本)9781467367936

关键词： Instruments Transfer functions Fitting

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AI based MPPT methods for grid connected PV systems under non linear changing solar irradiation

AI based MPPT methods for grid connected PV systems under no...

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International Conference on Advances in Computer engineering and Applications (ICACEA)

作者： Ankita Arora Prerna Gaur Dept. of Instrumentation and Control Engineering Netaji Subhas Institute of Technology (NSIT) University of Delhi India

ISBN: (纸本)9781467369121

This paper presents the artificial neural network (ANN), fuzzy logic controller (FLC) maximum power point tracking (MPPT) methods in grid connected photovoltaic (PV) systems for optimizing the solar energy efficiency. All the methods are simulated in MATLAB-Simulink, respectively together with SunPower-SPR305 PV module connected to single-ended primary inductor converter (SEPIC). Performance assessment covers efficiency, overshoot, settling time response, oscillations and stability.

关键词： Artificial neural networks Radiation effects Maximum power point trackers Mathematical model Fuzzy logic Niobium Computers

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Comparison of ANN and ANFIS based MPPT controller for grid connected PV systems

Comparison of ANN and ANFIS based MPPT Controller for grid c...

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IEEE India Conference (INDICON)

作者： Ankita Arora Prerna Gaur Dept. of Instrumentation and Control Engineering Netaji Subhas Institute of Technology (NSIT) University of Delhi India

ISBN: (纸本)9781467365413

This paper presents comparison analysis of artificial neural network (ANN) and adaptive neuro fuzzy inference system (ANFIS) artificial intelligence (AI) based maximum power point tracking (MPPT) techniques for tracking maximum power from the Photovoltaic (PV) array. These algorithms are essential since PV arrays have non-linear characteristics with its firm dependence on changing solar irradiation and temperature. To increase the power extracted from solar panel, PV array must operate at a maximum power point (MPP) under given load conditions. Conventional algorithms such as Perturb and Observe (P&O) and Incremental-Conductance (Inc-Cond) suffers, with high oscillations during changing solar irradiation leading to low efficiency, therefore AI based techniques are designed and presented in this paper. ANFIS is more efficient in tracking MPP with less settling time, less overshoot, less oscillations and less time taken to track MPP than ANN based controller.

关键词： Artificial neural networks Radiation effects Maximum power point trackers Oscillators Training Voltage control Algorithm design and analysis

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Development of Backtracking Search Optimization Algorithm Toolkit in LabVIEW™

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Procedia Computer Science 2015年 57卷 241-248页

作者： Yashpal Sheoran Vineet Kumar K.P.S. Rana Puneet Mishra Jitendra Kumar Sreejith S. Nair Division of Instrumentation and Control Engineering Netaji Subhash Institute of Technology Sector-3 DwarkaNew Delhi-110078 India

In this paper a Backtracking Search Optimization Algorithm (BSA) toolkit has been developed in the LabVIEW™ environment. LabVIEW™ provides a graphical programming environment to design measurement and control applications. The development of BSA toolkit was motivated by the fact that only Differential Evolution (DE) toolkit was provided in LabVIEW™. Thus to design BSA toolkit, several modular virtual instruments have been developed for each BSA process. Developed BSA toolkit has been tested on several benchmark test functions and a comparative study with inbuilt DE toolkit has been performed, which shows results obtained from BSA toolkit are found superior to DE toolkit.

关键词： Backtracking Search Optimization Algorithm Optimization Optimization Techniques Evolutionary Algorithms Virtual Instruments.

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Note on performance analysis of reduced order models using pade approximation method

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ICIC Express Letters 2015年第8期9卷 2071-2074页

作者： Hote, Yogesh V. Jha, Amar Nath Department of Electrical Engineering Indian Institute of Technology Roorkee Roorkee India Department of Instrumentation and Control Engineering Netaji Subhas Institute of Technology Sector-3 Dwarka New Delhi India

In literature, it is reported that the Routh stability method and stability equation method may approximate the non-dominant poles of the system whereas Pade approximation method does not show this drawback. Here, it is shown that this conclusion is not completely true. The proposed analysis is carried out by determining frequency domain plots as well as performance indices. This analysis will be helpful to faculty and the research scholars. © 2015 ICIC International.

关键词： Frequency domain analysis

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Optimization of tilt angle for installation of solar photovoltaic system for six sites in India

Optimization of tilt angle for installation of solar photovo...

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International Conference on Energy Economics and Environment (ICEEE)

作者： Amit Kumar Yadav Hasmat Malik Centre for Energy and Environmental Engineering National Institute of Technology Hamirpur Himachal Pradesh India Department of Instrumentation and Control Engineering Netaji Subhas Institute of Technology (NSIT)

The maximum incident solar radiation is important for power generation which can be achieved by optimization of solar photovoltaic system tilt angle. In this paper optimum tilt angle is calculated for six sites in India. It was found that the optimum tilt angle is 0° in April, May, June, July and August for six different sites and it is maximum in December. The two new correlation of optimum tilt angle in terms of declination angle is developed which is important for installation of solar photovoltaic system in India.

关键词： Solar radiation Photovoltaic systems Correlation Solar energy Optimized production technology Mathematical model

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controller design via reduced model for DC servo system: An experimental study

Controller design via reduced model for DC servo system: An ...

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International Conference on Industrial and Information Systems, ICIIS

作者： Yogesh V. Hote Sahaj Saxena Amar Nath Jha Department of Electrical Engineering Indian Institute of Technology Roorkee Roorkee India Dept. Instrumentation & Control Engineering Netaji Subhas Institute of Technology New Delhi India

Model order reduction (MOR) is an important phenomenon in control theory for identification of higher-order model to a lower-order. However, it is observed that the practical application of MOR in designing a controller for obtaining desired performance is limited. Therefore, in this paper, we propose a two step approach of designing proportional-integral (PI) type controller in which the system to be controlled is approximated to a reduced model via Gerschgorin theroem and singular perturbation technique, and then the obtained model is employed to evaluate the tuning parameters of PI. The tuning is based on analytical approach of designer's specification. The validation of proposed technique is carried out for speed control problem of DC servomotor through MATLAB simulations and hardware implementation on precision modular servo set-up. The analysis shows improved performance in terms of fast reference tracking and disturbance attenuation.

关键词： Load modeling Servomotors Dynamics Tracking Attenuation

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ANN based prediction of daily global solar radiation for photovoltaics applications

ANN based prediction of daily global solar radiation for pho...

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IEEE India Conference (INDICON)

作者： Amit Kumar Yadav Hasmat Malik S.S. Chandel Centre for Energy and Environmental Engineering National Institute of Technology Hamirpur Himachal Pradesh India Department of Instrumentation and Control Engineering Netaji Subhas Institute of Technology (NSIT) Govt. of NCT of Delhi

Measured value of minimum air temperature, maximum air temperature, average air temperature and solar radiation between 1 January 2012 to 31 April 2014 for Hamirpur city in Himachal Pradesh, India are used for prediction of daily global solar radiation (DGSR) with artificial neural network (ANN) technique. The prediction of DGSR are made with three combinations of input variables namely: (i) average air temperature, maximum air temperature and minimum air temperature, (ii) average air temperature and maximum air temperature, (iii) average air temperature. The results shows that ANN model with input variable as average air temperature and maximum air temperature predict DGSR with mean absolute percentage error of 5.35%. It can be used for predicting DGSR for sites where measured solar radiation is not available, proving useful for sizing of solar photovoltaic systems.

关键词： Temperature measurement Artificial neural networks Ocean temperature Solar radiation Atmospheric modeling Mathematical model Predictive models

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