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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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Velocity and position forms of self-tuning Fuzzy PI controller applied to jacketed CSTR

Velocity and position forms of self-tuning Fuzzy PI controll...

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IEEE India Conference (INDICON)

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

ISBN: (纸本)9781467365413

This paper presents an application of self-tuning Fuzzy PI controller (STFPIC) in velocity form (VF) and position form (PF) to control the jacketed Continuous Stirred Tank Reactor (CSTR) in a cascade configuration. CSTR is a highly non-linear process and requires non-conventional intelligent control techniques for stable and efficient operations. Self-tuning fuzzy logic controllers are one such option, usually employed for control of CSTR. STFPIC generates the gain updating factor according to the dynamics of the process, which modifies the output scaling factor. Two configurations have been investigated in cascade mode i.e., STFPIC in VF in primary loop and conventional proportional (P) controller in secondary loop, and in the other case STFPIC in PF in primary loop and conventional P used in secondary loop. Further, to tune the performance of the controllers a grey wolf optimizer has been utilized for obtaining minimum Integral of Absolute Error (IAE) for set-point tracking. The overall approach has been simulated in LabVIEW™ environment and a comparative study with the PID controller have been presented in this paper. Based on the intensive simulation it is found that, for set-point tracking, STFPIC in VF outperformed STFPIC in PF by 31.79% and PID by 69.40%, whereas for disturbance rejection STFPIC in VF outperformed STFPIC in PF by 26.37% and PID by 72.95%, in terms of IAE. Based on these investigations it is recommended that VF of STFPIC should be employed for efficient control of non-liner jacketed CSTR.

关键词： Chemical reactors Inductors Temperature control Process control Temperature Tuning Mathematical model

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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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Half-integrator approximation analysis and its realizations

Half-integrator approximation analysis and its realizations

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International Conference on Soft Computing Techniques and Implementations (ICSCTI)

作者： P. Varshney Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology Dwarka New Delhi INDIA

Due to the absence of appropriate mathematical methods, fractional order dynamic systems were studied only marginally in both theory and practice. In this paper, continuous-time and discrete-time approximations of half integrator have been analyzed and compared. An approach for the realization of half integrator is also presented. MATLAB simulation results are presented and comparisons performed with the ideal continuous-time domain half integrator. Analog Realizations of some of the s-domain models has also been discussed. Discrete Realizations of the z-domain models have been developed and results compared with the ideal continuous-time domain models.

关键词： Read only memory

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Some studies on SMC applied to a robotic manipulator

Some studies on SMC applied to a robotic manipulator

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IEEE India Conference (INDICON)

作者： Pranav Raman K.S. Mehra J. Kumar K.P.S. Rana V. Kumar Netaji Subhas Institute of Technology New Delhi Delhi IN Instrumentation and Control Engineering Division Netaji Subhas Institute of Technology Dwarka New Delhi-110078 India

Robotic manipulator is a multi-input multi-output (MIMO), highly nonlinear and coupled system. controlling this system always has been a challenging task for control engineers. In this paper, sliding mode control (SMC) technique utilizing Proportional and Derivative (PD) surface with different reaching laws has been applied on a two-link planar rigid robotic manipulator. Performance of PD sliding surface has been investigated with three different control laws namely, constant rate, exponential and power rate reaching law. Stability of the studied controller configurations have been demonstrated using Lyapunov theory. One of the major problems in SMC, “chattering” is reduced by introducing boundary layer in the controller. Genetic Algorithm optimization technique is used for tuning of parameters of SMC and boundary layer in all the cases for minimum Integral Absolute Error and chattering. Simulation results revealed that all the investigated laws performed equally for set-point tracking and the constant rate reaching law outperforms the other two laws for noise suppression. Also, all three reaching control laws of SMC offered significantly enhanced trajectory tracking and chattering performance as compared to recent literature.

关键词： Manipulators Trajectory Service robots MATLAB Sociology Statistics

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Efficient air pollutants prediction using ANFIS trained by Modified PSO algorithm

Efficient air pollutants prediction using ANFIS trained by M...

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

作者： S. Sharma U. Kalra S. Srivathsan K.P.S. Rana V. Kumar Instrumentation and Control Engineering Division Netaji Subhas Institute of Technology Dwarka New Delhi India

In the modern day world air pollution has been a major concern for various environmental diseases. High traffic density, electricity production, and expanding commercial and industrial activities have increased air pollution in an unpredictable manner. Thus, the forecast of air pollution can be used as an advisory to establish strategies and corrective measures particularly in case of higher air pollution levels. In view of this, in this work we investigate an application of Modified Particle Swarm Optimization (MPSO) to train ANFIS (Adaptive Neuro Fuzzy Inference System) for the efficient prediction of two major air pollutants namely, Sulphur dioxide (SO 2 ) and Ozone (O 3 ) in New Delhi. The results obtained are then compared with the traditional gradient based method normally used for training ANFIS. The comparison between the two was based on three performance indices, namely MSE (Mean Squared Error), RMSE (Root Mean Squared Error) and MAD (Mean Absolute Deviation). For SO 2 prediction MSE, RMSE and MAD of 0.110, 0.331 and 0.932 were obtained using the proposed method against 0.117, 0.342 and 1.03 respectively using the traditional method. Similarly for O 3 prediction, MSE, RMSE and MAD of 0.837, 0.700 and 2.49 were obtained against 0.878, 0.812 and 2.93 respectively. These results clearly indicate that ANFIS trained using MPSO is far better at generalizing, achieving higher accuracy for the prediction of SO 2 and O 3 air pollutants.

关键词： Air pollution Artificial neural networks Training Fuzzy logic Firing Atmospheric measurements Particle swarm optimization

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An Approach for Object Picking using Correlation analysis and Robotic Manipulation

An Approach for Object Picking using Correlation analysis an...

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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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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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