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7th International Conference on Signal Processing and Integrated Networks, SPIN 2020

作者： Navdeep Singh, Vijander Rani, Asha Goyal, Sonal Delhi University Department of Instrumentation and Control Engineering Netaji Subhas Institute of Technology Delhi India

ISBN: (纸本)9781728154756

Depth images generally have low resolution, which leads to poor edge map from conventional edge detection methods. This necessitates the requirement of a consistent edge detection method for depth image applications. Therefore in this paper, improved depth local binary pattern (IDLBP) edge detection method based on local binary pattern is proposed for depth images. Experimentation is performed on synthetic and depth images to verify the validity of suggested technique. It is revealed that IDLBP is a fast, accurate and non-destructive edge detection technique. The depth local binary pattern, improved local binary pattern, hyper smoothing function based local binary pattern, Canny, Sobel and Laplacian of Gaussian edge detection techniques are also realized for comparative analysis. The effectiveness of suggested IDLBP algorithm is evaluated in terms of accuracy, Jaccard similarity index, specificity, sensitivity and dice similarity coefficient. © 2020 IEEE.

关键词： Local binary pattern

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Comparison of ANN and ANFIS controller Based Hysteresis Current control Scheme of DSTATCOM for Fault Analysis to Improve Power Quality

Comparison of ANN and ANFIS Controller Based Hysteresis Curr...

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2020 International Conference on Electronics and Sustainable Communication Systems, ICESC 2020

作者： Mittal, Chirag Srivastava, Smriti Netaji Subhas University of Technology Department of Instrumentation and Control New Delhi India

ISBN: (纸本)9781728141084

This paper presents the hysteresis controller, based scheme for distribution static compensator (DSTATCOM) for analysis of faults, line-line fault, line to ground fault, single line to ground fault for power quality improvement. DSTATCOM is used for power quality improvement. It provides the deficient reactive power in the distribution system. Conventionally hysteresis controller uses proportional and integral (PI) controller. In this paper, artificial neural network (ANN) and adaptive neuro fuzzy inference system (ANFIS) based DSTATCOM controllers are implemented for the analysis of different faults. This paper also provides the comparison of different faults for ANN and ANFIS based DSTATCOM with the help sequence analyzer. Sequence analyzer is used for the positive, negative and zero sequence analysis of three phase signal. Per unit study of the output voltage is carried out to compare the results of the different faults based on ANN and ANFIS controller. The simulation results show the improved results for the voltage profiles with ANFIS controller. The simulation of the proposed model is done with the help of MATLAB/Simulink software. © 2020 IEEE.

关键词： Power quality

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A comprehensive review on modelling and maximum power point tracking of PEMFC

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Cleaner Energy Systems 2022年 3卷

作者： George, Sunitha Sehgal, Nitish Rana, K.P.S. Kumar, Vineet Instrumentation and Control Engineering Department Netaji Subhas University of Technology Sector-3 Dwarka New Delhi 110078 India

Working of Proton Exchange Membrane Fuel Cell (PEMFC) can be described using Dynamic Gas Transport Model or Polarization Curve Model. Majorly, researchers have employed the latter for investigations on control applications. To carry out scientific advancements, one requires a suitable model of PEMFC for theoretical studies. In this review, several observed issues in recently reported works on the modeling of PEMFC are presented. After examining the modeling issues, the correct model of PEMFC with its detailed theoretical basis is derived. Further, to extract maximum power from PEMFC, one needs to employ a Maximum Power Point Tracking (MPPT) technique. Over time, many MPPT techniques for various applications have been reported. It was felt that a comprehensive review is required to allow the researchers to compare and choose the appropriate MPPT technique for a particular application. Therefore, various applicable MPPT techniques are reviewed and valuable outcomes have been drawn based on the significant parameters used to estimate the performance of a method. Therefore, this review paper has two following contributions to make. First, to provide the correct model of PEMFC, and second, to offer a comprehensive review of MPPT techniques. Further, based on the presented extensive review, this paper also provides future research directions and background for applying suitable MPPT techniques to utilize PEMFC efficiently. © 2022 The Authors

关键词： Dynamic Gas Transport Model MPPT control Techniques PEMFC PEMFC Applications Polarization Curve Model

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EEG Signal based Seizure Classification Using Wavelet Transform

EEG Signal based Seizure Classification Using Wavelet Transf...

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2019 International Conference on Computing, Power and Communication Technologies, GUCON 2019

作者： Jareda, Mayank Kumar Sharma, Rajneesh Kukker, Amit Netaji Subhas University of Technology Instrumentation and Control Division New Delhi India

ISBN: (纸本)9789353510985

Seizure is an uncontrolled neurological disturbance in brain. Electroencephalogram (EEG) which records the electrical activities of the brain can be used to identify an epileptic seizure. EEG signals are non-stationary and non-linear in nature which makes their analysis difficult. In this paper, an EEG based method for seizure classification based on brain activities is presented. Wavelet transform has been used to decompose EEG signal. Features are extracted from the decomposition coefficients of Wavelet. Further, feature input vector and target vector are created for classification and prediction of seizure. Support Vector Machines (SVM) and K-Nearest Neighbor (KNN) classifiers have been used for seizure prediction and classification. In the proposed method, we have gained 89.60% accuracy with cubic SVM and 87.00% accuracy with weighted KNN. © 2019 Galgotias university.

关键词： Electroencephalography

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Wavelet Transform Based Pneumonia Classification of Chest X- Ray Images

Wavelet Transform Based Pneumonia Classification of Chest X-...

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2019 International Conference on Computing, Power and Communication Technologies, GUCON 2019

作者： Singh, Nitin Sharma, Rajneesh Kukker, Amit Netaji Subhas University of Technology Instrumentation and Control Division New Delhi India

ISBN: (纸本)9789353510985

Pneumonia is a contagious disease that inflames the sac of air in either of our lungs. It occurs mainly due to microbial infection. In proposed work, we have used normal and abnormal (infected with pneumonia) data set of chest x-ray for detection of pneumonia. With Wavelet Transform method and Gray level Co- Occurrence Matrix (GLCM), total 6 time-frequency domain features are extracted for approximately 3000 X-Ray images of data set of normal and infected *** is mainly used for extracting texture features like contrast, energy, correlation homogeneity. Then we form feature matrix and train our classifier. Support Vector Machine (SVM) and K-nearest neighbors (KNN) scheme is adopted to detect the pneumonia. There are various type of SVM and KNN based on Kernel. From these, SVM and KNN, we achieved accuracy 94.6% with cubic SVM and 92.6% with weighted KNN. The results of using the Wavelet Transform based SVM classification are quite promising when compared to another classification techniques as K-NN classification. © 2019 Galgotias university.

关键词： Discrete wavelet transforms

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Comparative Study of Conventional PD and Fuzzy PD controllers for a Non-linear Active Suspension System

Comparative Study of Conventional PD and Fuzzy PD Controller...

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2019 International Conference on Computing, Power and Communication Technologies, GUCON 2019

作者： Misra, Sukhsagar Kumar, Vineet Rana, K.P.S. Netaji Subhas University of Technology Department of Instrumentation and Control Engineering Sector 3 New Delhi India

ISBN: (纸本)9789353510985

This paper presents a comparative study of conventional PD and Fuzzy PD (FPD) controllers for a nonlinear active suspension system for quarter car. The control purpose is to upgrade ride quality of quarter car by reducing the root mean square of vertical acceleration (RMSVA) while keeping all hard constraints like suspension movement, dynamic and static load on tyre and actuator saturation within limits. The gains of PD and FPD controllers are tuned by Genetic Algorithms (GA) optimization technique for random road profiles by minimizing a cost function consist of integral of time-weighted absolute error and RMSVA and a comparative study is carried out. Further, controllers tuned with random road surface are tested on bump road profile for various amplitude. It has been noted that FPD controller out performed conventional PD controller and provided superior ride comfort. © 2019 Galgotias university.

关键词： Active suspension systems

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Comparative Study of Optimization Techniques for Tuning of PI Gains for Greenhouse Climate control

Comparative Study of Optimization Techniques for Tuning of P...

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2019 International Conference on Computing, Power and Communication Technologies, GUCON 2019

作者： Sangwan, Amit Gupta, Abhinav Tiwari, Divya Kumar, Vineet Rana, K.P.S. Netaji Subhas University of Technology Department of Instrumentation and Control Engineering Sector 3 New Delhi India

ISBN: (纸本)9789353510985

Greenhouses are highly nonlinear, non-isolated systems which are very difficult to model and control. For desired plant growth, such greenhouses demand a very specific form of climatic conditions which can vary due to the impact of highly stochastic disturbances in the form of solar radiation, temperature and humidity of outside environment. Greenhouse climate control designs are often put into use to increase the quality of growth of the plants cultured inside the greenhouse while keeping a check on the production costs. Such designs need to be efficient at setpoint tracking while providing good disturbance rejection. In this paper a greenhouse's climate is controlled with conventional PI controller. The controller is tuned with different global optimization algorithms, namely Genetic Algorithm (GA), Cuckoo Search Algorithm (CSA) and Grey Wolf Optimization (GWO) Algorithm. The tuning has been performed through minimization of a weighted sum of integral of the absolute error. Simulation study clearly reveals that the GWO tuned PI controller offers much better results. © 2019 Galgotias university.

关键词： Genetic algorithms

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Optimization of PID controller based on various tuning methods

Optimization of PID controller based on various tuning metho...

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Power, instrumentation, Energy and control (PIECON), International Conference on

作者： Siddharth Singh Vijander Singh Asha Rani Jyoti Yadav Dept. of Electrical Engineering Netaji Subash University of Technology Dwarka Sector-3 New Delhi India Dept. of Instrumentation and Control Engineering Netaji Subash University of Technology Dwarka Sector-3 New Delhi India

PID controllers have been in use for numerous decades. Many researchers have developed and discussed their tuning methods. In this presented work, we discuss different types of tuning methods for Proportional Integral Derivative (PID) controllers. The present work also discusses about plants with delay time and their equivalent First Order Plus Time Delay (FOPDT) structure with their tuning method. Furthermore, a two-degree of freedom (2-DOF) PID controller and its tuning methods have also been discussed. Lastly, Genetic Algorithm (GA) has been employed so as to optimally tune the PID controller. The tuning methods for PID controllers have been tested. The simulations are carried out in MATLAB Simulink (2020a). The results are then recorded in tabular form and compared with classical tuning methods present in literature. Finally, the best tuning method out of the discussed methods for the plant has been concluded.

关键词： Software packages Delay effects Instruments Process control Delays Tuning Optimization

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A modified incremental conductance maximum power point technique for standalone PV system 7

A modified incremental conductance maximum power point techn...

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7th International Conference on Signal Processing and Integrated Networks, SPIN 2020

作者： Chauhan, Urvashi Rani, Asha Singh, Vijander Kumar, Bhavnesh University of Delhi Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology New Delhi110078 India

ISBN: (纸本)9781728154756

The main aim of this work is to design an effective MPPT algorithm so that the power utilization efficiency of PV array is enhanced. Therefore improved incremental conductance MPPT controller i.e. INC-PID MPPT is proposed which utilizes the concept of traditional incremental conductance algorithm and proportion-integral-derivative controller. The conventional MPPT methods i.e. incremental conductance and perturb & observation have simple structure and may be implemented easily. However these algorithms suffer from low tracking efficiency and steady state oscillations. The proposed technique overcomes these drawbacks and also preserves the simple structure. The controller parameters are optimized using grey wolf optimization (GWO). The proposed algorithm is applied to multi crystal solar panel, KC130GT by M/S Kyocera, and power tracking capability of INC-PID MPPT is evaluated for various patterns of irradiance. The suggested technique proves to be superior than existing techniques in terms of settling time, undershoot and rise time. © 2020 IEEE.

关键词： controllers

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Optimal Utilization of Reactive Power Capabilities of Distributed Solar PV Inverter

Optimal Utilization of Reactive Power Capabilities of Distri...

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National Power Systems Conference (NPSC)

作者： Arjun Tyagi Mohsina Nazir Krishan Kumar Vineet Veer Tyagi Bhavnesh Kumar Department of Electrical Engineering Netaji Subhas University of Technology New Delhi India School of Energy Management Shri Mata Vaishno Devi University Katra Jammu & Kashmir India Trinity Touch Pvt Ltd. New Delhi India Department of Instrumentation & Control Engineering Netaji Subhas University of Technology New Delhi India

To improve energy security and mitigate climate changes, renewable energy particularly solar energy is being significantly integrated with the power grid. Solar PV inverter, used for conversion of generated DC power into AC power has the ability to supply active and reactive power. Traditionally, only active power ability of solar inverter is being used. Although, the reactive power capability of the solar inverter can also be utilized for the maximization of benefits. In this study, the reactive power ability of the solar inverter has been used for minimizing power loss and enhancing the loadability limit of the distribution system. The loadability limit has been maximized by utilizing a new voltage-based stability indicator. New voltage-based stability indicator overcomes the computational complexity problem of unbalanced continuous power flow. Moreover, in the optimization, a Grey Wolf optimization algorithm has been used and the proposed methodology is applied and verified with IEEE-33 bus test system.

关键词： Reactive power Renewable energy sources Reactive power control Voltage fluctuations Solar energy Power system stability Inverters

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