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Non-cascading converter: Analysis, modeling and control

Non-cascading converter: Analysis, modeling and control

International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB)

作者： Sunil Kumar K. P. S. Rana Vineet Kumar Department of Electronics and Communication Engineering Bhagwant University Ajmer Division of Instrumentation and Control Engineering Netajji Subhas Institute of Technology Dwarka New Delhi India

ISBN: (纸本)9781467397469

In present paper, a non-cascading converter is presented. It is very useful as far as overall efficiency of the converter is concerned. Here the input power is transferred to the load through a non-cascading scheme employed on the secondary side of an isolation transformer. It requires the intermediate capacitor of lower ratings and at the same time improves the power transfer capability of the converter. The utilization factor of the transformer is high. The total harmonic distortion in the input current reduces. A 24W, 24V converter is presented for validation.

关键词： Capacitors Switches Inductors Mathematical model Discharges (electric) Transfer functions Reactive power

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Playing Action Video Games a Key to Cognitive Enhancement

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Procedia Computer Science 2016年 84卷 115-122页

作者： Sushil Chandra Greeshma Sharma Amritha Abdul Salam Devendra Jha Alok Prakash Mittal Bio Medical Engineering Department Institute of Nuclear Medicine and Allied Science DRDO Delhi India Bio Medical Engineering Department Manipal Institute of Technology Manipal University Karnataka India Scientific Analysis Group DRDO Delhi India Instrumentation and Control Engineering Department Netaji Subhas Institute of Technology Delhi India

In this paper, we aim to analyse the impact of training on improvement in cognitive abilities and performance of the subjects playing single player action video game. Recent research indicates that playing Action video games improve cognitive abilities. However no study has exploited the novel technique, Empirical Mode Decomposition in the field of action video games. Empirical mode decomposition was used to extract various features by decomposing EEG data into intrinsic mode functions. Intrinsic mode functions were used to calculate linear features like standard deviation, phase and energy. K- Nearest Neighbour & Linear Discriminant Analysis classifiers were used to classify the subject based on the changes in features extracted due to the impact of training. Psychological tests conducted before and after the training, positively affirm that training improves cognitive abilities like reaction time and reduces stress level.

关键词： Video gaming EEG ICA EMD IMF K Nearest Neighbor Linear Discriminant Analysis

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Fuzzy based support system for melanoma diagnosis 3rd

Fuzzy based support system for melanoma diagnosis

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3rd International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2015

作者： Gupta, Anand Tiwari, Devendra Agarwal, Siddharth Jain, Monal Department of Computer Engineering Netaji Subhas Institute of Technology New Delhi110078 India Department of Instrumentation and Control Engineering Netaji Subhas Institute of Technology New Delhi110078 India

ISBN: (纸本)9783319268316

Early detection of Melanoma (skin cancer) and its classes (Malignant, Atypical, Common Nevus) is always beneficial for patients. Till now researchers have designed many Computer Aided Detection (CAD) systems which have focused on providing binary results (i.e. either presence or absence of any class of melanoma). As these systems do not provide relative extent of lesions belonging to each class, they usually lack decision support for dermatologists (in case of suspiciousness of a lesion) and complete reliability for routine clinical use. To overcome these problems, a two stage framework is proposed incorporating a new fuzzy membership function based on Lagrange Interpolation Curve Fitting method. This framework returns analogue values for a lesion which represents its relative extent in a particular class (helpful in recreating suspiciousness), hence having a greater degree of acceptability among dermatologists. A two stage CAD framework proposed here uses PH2 dermoscopic image dataset as input. In the first stage pre-processing, segmentation and feature extraction is performed while in the next stage fuzzy membership values for the three classes are calculated using Gaussian, Bell and the proposed membership function. A comparative study is done on the basis of sensitivity and specificity for the three membership functions. © Springer International Publishing Switzerland 2015.

关键词： Membership functions

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Differential Voltage Current Conveyor Transconductance Amplifier Based instrumentation Amplifier

Differential Voltage Current Conveyor Transconductance Ampli...

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International Conference on Power Electronics, Intelligent control and Energy Systems

作者： Mayank Mehrol Divya Goyal Pragya Varshney Deptt. of Instrumentation and Control Engineering Netaji Subhas Institute of Technology Delhi University India

ISBN: (纸本)9781467385886

This paper presents an instrumentation amplifier based on Differential Voltage Current Conveyor Transconductance Amplifier (DVCCTA). The proposed instrumentation amplifier provides high gain with high common mode rejection ratio. The desired gain can be obtained by varying the biasing current hence making it electronically tunable. The performances and credibility of the proposed model are tested in OrCAD PSPICE with 0.5μm MIETEC CMOS technology.

关键词： instrumentation Amplifier Differential Voltage Current Conveyor Transconductance Amplifier (DVCCTA) Common Mode Rejection Ratio (CMRR)

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Development of a Grey Wolf Optimizer Toolkit in LabVIEW

Development of a Grey Wolf Optimizer Toolkit in LabVIEW

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International Conference on Futuristic Trends on Computational Analysis and Knowledge Management

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

ISBN: (纸本)9781479984343

In this paper a Grey Wolf Optimizer (GWO) Toolkit developed in LabVIEW environment, has been presented. Grey Wolf Optimizer (GWO) is inspired by Grey wolves (Canis lupus). The GWO algorithm, in nature, mimics the leadership hierarchy, and the hunting mechanism of grey wolves. LabVIEW is a versatile tool for measurement and control applications and it is very popular among the industries. As Differential Evolution (DE) is the only optimization technique available in the LabVIEW environment. The developed toolkit is examined on nine benchmark functions and results are compared with DE. A step by step systematic procedure for the toolkit development and a comparative study with the existing DE toolkit results has been presented in this paper.

关键词： Grey Wolf Optimizer Optimization Meta-heuristic Virtual Instruments

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Artificial Neural Network based PID controller for Online control of Dynamical Systems

Artificial Neural Network based PID Controller for Online Co...

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International Conference on Power Electronics, Intelligent control and Energy Systems

作者： Rajesh Kumar Smriti Srivastava J.R.P. Gupta Department of Instrumentation and Control Engineering Netaji Subhas Institute of Technology Sector-3 Dwarka New Delhi India

ISBN: (纸本)9781467385886

For online control of various dynamical systems, an adaptive artificial neural network (ANN) based proportional integral derivative (PID) controller is developed. For linear time invariant processes, conventional PID controller is suitable but they have limitations when they are required to control the plants having high non linearity or their parameters are changing with the time. In order to find the parameters of PID controller, information regarding the dynamics of the plant is essential. If perturbation occurs in plant parameter(s) then PID controller may work only if these changes are not severe. But most plants are either non linear or their parameters changes with time and this demands for a use of more robust type of controller and ANN is a suitable candidate. To use the power of PID controller and ANN, ANN based PID controller is proposed in this paper. The benefit of this combination is that it utilizes the simplicity of PID controller mathematical formula and uses the ANN powerful capability to handle parameter variations and non linearity.

关键词： Artificial Neural Network Gradient Descent Back Propagation Algorithm Online control Parameter Perturbation Dynamical Systems Proportional Integral Derivative controller Discrete Time Systems

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Optimization of PID controller with First Order Noise Filter

Optimization of PID Controller with First Order Noise Filter

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International Conference on Futuristic Trends on Computational Analysis and Knowledge Management

作者： Sweety Agrawal Vineet Kumar K. P. S. Rana Puneet Mishra Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology

ISBN: (纸本)9781479984343

Measurement noise is one of the most widely and frequently experienced problems of an industrial working environment. The effects of measurement noise can be reduced by filtering the measurement signal. The aim of the current work is to explore (a) the optimum location of filter in the control loop and (b) the controller tuning in presence of measurement noise. In the present work, two locations are considered for placing the first order noise filter. One, in the feedback path after the sensor and, other cascaded with the derivative term. The controller and filter parameters were tuned using Particle Swarm Optimization (PSO) technique for a combined performance criterion composed of Maximum Overshoot and Integral Absolute Error (IAE). For studying the effectiveness of the proposed scheme, two simulations and a hardware based experiment on a speed control of a DC motor are considered. Based on these investigations, it can be concluded that the filter located in feedback path gives better performance as compared to the filter cascaded with the derivative term in a noisy environment.

关键词： PID controller controller tuning Particle Swarm Optimization Measurement noise Noise filter

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Enhancing Linearity in Thermistor Signal Conditioning Circuit using Linear Numerical Search

Enhancing Linearity in Thermistor Signal Conditioning Circui...

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International Conference on Power Electronics, Intelligent control and Energy Systems

作者： K.P.S. Rana V. Kumar T. Prasad Instrumentation and Control Engineering Department Netaji Subhas Institute of Technology Sector-3 Dwarka New Delhi-110078 India

ISBN: (纸本)9781467385886

Temperature to frequency converters (TFC) have been used as thermistor signal conditioning circuit (SCC) and linearization. Many TFC have been proposed by the researchers out of which 7555 timer based SCC has been employed in several applications. The application of 7555 timer based SCC demands a method for generating the optimal circuit parameters yielding desired linearity and sensitivity for a given input temperature range. Two classical methods, namely, inflection point and three point methods have been employed by several researchers for this task. These classical methods, being simple in nature, offer moderate linearity and the residual non-linearity is normally further improved with the help of other supporting methods like software based techniques. In the present work, a linear numerical search based scheme is proposed to enhance the linearization capability of 7555 timer based SCC in TFC. The enhancement is attained by just selecting the appropriate value of a resistor in SCC application. The proposed method has been investigated in simulation on three different industrial grade thermistors for the input temperature range of 0℃-100℃ for 7555 based SCC. An enhancement of linearity performances of 4.9%, 4.7% and 4.7% have been obtained over the three point method and 21.7%, 18.3% and 17.8% over the inflection point method for thermistor 1, thermistor 2 and thermistor 3, respectively. Based on these data it can be concluded that linear numerical search a promising solution for linearity enhancement of thermistors in 7555 SCC. The results presented in this work are useful to the design engineers as enhanced linearity also reduces the requirements of further processing.

关键词： Temperature Measurement Thermistor Signal Conditioning Circuit Linearization Linear Numerical Search 7555-timer

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Comparative study of BLF and QLF based backstepping controllers for active suspension system

Comparative study of BLF and QLF based backstepping controll...

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National Systems Conference (NSC)

作者： Anuj Goyal Jitendra Kumar Vineet Kumar K. P. S Rana Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology New Delhi

This paper presents a comparative study of Backstepping controllers based on Barrier Lyapunov Function (BLF) and Quadratic Lyapunov Function (QLF) for stabilising the vertical displacement of a quarter car active suspension system. Hard constraints of the suspension system such as suspension travel, dynamic tyre load and actuator saturation are maintained in presence of uncertain sprung mass. Two different case studies have been conducted for stabilization of vertical displacement of vehicle (a) using a special reference trajectory and (b) without using any special trajectory and maintaining a zero reference. The gains of controllers have been optimised for both the studies using Genetic Algorithm. Contrary to an earlier reported work [7], which used un-optimized random gain values for the controllers, it has been shown that QLF approach can provide better results than BLF approach when the gains are optimized.

关键词： Suspensions Vehicles Trajectory Roads Springs Backstepping Tires

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Online tuning of fractional order PI controller using particle swarm optimization

Online tuning of fractional order PI controller using partic...

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International Conference on Computing, Communication & Automation (ICCCA)

作者： Siddharth Agarwal Siddhant Mathur Puneet Mishra Vineet Kumar K.P.S. Rana Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology New Delhi India

ISBN: (纸本)9781479988914

This article deals with the speed control of DC motor using a Fractional Order Proportional Integral (FOPI) controller. In this paper, the Particle Swarm Optimization algorithm (PSO) is implemented to optimally tune the controller gains of the FOPI controller for setpoint tracking and disturbance rejection where the optimization performance index is taken as Integral Time Weighted Absolute Error (ITAE). A comparative study of the online and offline tuning of the controller parameters has been made and the gains are used to investigate the run time performances in the LabVIEW™ environment. National Instruments (NI) based LabVIEW™ environment is used for all studies and MS15 DC motor module is taken as the plant under analysis. From the results obtained, it can be concluded that the parameters of the controller tuned in real time give better performance than those designed offline in speed regulation of the DC motor.

关键词： Tuning DC motors Optimization Process control Algorithm design and analysis Mathematical model Data acquisition

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