Rajasthan Technical University Kota

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Kota, India
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Kalra B.,Rajasthan Technical University Kota | Sharma J.B.,Rajasthan Technical University Kota
Journal of Intelligent and Fuzzy Systems | Year: 2017

In multi carrier OFDM systems parameters like speed, throughput and hardware area can be improved by using efficient Fast Fourier Transform approach. In this paper an area efficient and high speed 32 bit floating point FFT processor for OFDM using Vedic multiplication process is presented. Proposed FFT processor is based on memory based architecture and utilizing Urdhavatiraykbhyam sutra for Vedic multiplication. As the number of inbuilt multipliers available in FPGAs are limited, hence external multiplication module are required in the multicarrier OFDM systems, in order to reduce the complexity of FPGA implementation. By the use of Vedic multiplication process in FFT of OFDM high throughput with smaller area can be achieved. Simulation results explain that the proposed scheme is having high speed and throughput. © 2017-IOS Press and the authors. All rights reserved.


Gupta R.A.,Indian National Institute of Engineering | Wadhwani A.K.,Madhav Institute of Technology and Science | Kapoor S.R.,Rajasthan Technical University Kota
IEEE Transactions on Energy Conversion | Year: 2011

Even though induction motors are frequently used electromagnetic devices in industries owing to their high reliability, high efficiency, and low maintenance requirements, they are prone to various faults and failures. Most of these faults occurring in the induction motors are perceptible in nascent stages. This averts the inopportune machine failures and helps to adeptly plan the maintenance schedules. Most of the methods used for preprediction of faults in induction motors are based on complicated techniques involving tortuous mathematical analysis. Although the importance and accuracy of these methods cannot be overruled, but a simple method is required as a first stage necessary condition test, which can classify the motor health condition into one of the three broad categories, namely, healthy, fault prone, and critical. This paper discusses a simple method based on symbolic dynamic analysis of stator current samples to detect faults in the induction motors. The experimentation has been performed on a 3Φ, 1.5 kW, 4P, 1440 RPM squirrel cage motor to validate the proposed scheme. The data captured through the laboratory setup have been used to corroborate the proposed symbolic dynamic-based scheme. © 2010 IEEE.


Saqib N.,Rajasthan Technical University Kota
2016 IEEE International Conference on Advances in Computer Applications, ICACA 2016 | Year: 2017

Wireless Sensor Networks has evoked a lot of attention in recent years as it offers a broad horizon of applications in environmental monitoring. Security of such networks is a key area of research as traditional techniques cannot be employed due to their low energy and memory constraints. The cornerstone of security primitives in cryptography is a key exchange. In this paper Elliptic Curve Cryptography (ECC) has been utilized to develop an improved key exchange mechanism for wireless sensor networks. Existing key exchange mechanism has been surveyed and their limitations have been discussed. The developed Protocol has been simulated in TinyOS using Tossim simulator. The protocol has also been ported on MicaZ motes. The performance parameters which include memory and energy has also been measured and benchmarked against ECDH. © 2016 IEEE.


Gautam P.,Rajasthan Technical University Kota
2016 International Conference on Recent Advances and Innovations in Engineering, ICRAIE 2016 | Year: 2017

System identification is the process of developing a mathematical model of a system using input and output knowledge of system. Identification of nonlinear system is well known problem due to its unpredictability and complexity. The nonlinear system for identification is Inverted Pendulum in this work which is well known benchmark system in control system theory due to it's highly nonlinear and unstable characteristics. In this work Lagrangian approach has been used for system dynamic modelling. Artificial neural network is utilized for model identification. © 2016 IEEE.


Pandey V.B.,Rajasthan Technical University Kota | Parashar S.K.,Rajasthan Technical University Kota
AIP Conference Proceedings | Year: 2016

In the present paper a novel functionally graded piezoelectric (FGP) actuated Poly-Si micro cantilever probe is proposed for atomic force microscope. The shear piezoelectric coefficient d15 has much higher value than coupling coefficients d31 and d33, hence in the present work the micro cantilever beam actuated by d15 effect is utilized. The material properties are graded in the thickness direction of actuator by a simple power law. A three dimensional finite element analysis has been performed using COMSOL Multiphysics® (version 4.2) software. Tip deflection and free vibration analysis for the micro cantilever probe has been done. The results presented in the paper shall be useful in the design of micro cantilever probe and their subsequent utilization in atomic force microscopes. © 2016 Author(s).


Gautam P.,Rajasthan Technical University Kota
2016 International Conference on Recent Advances and Innovations in Engineering, ICRAIE 2016 | Year: 2017

In this paper artificial neural network control technique is used for a nonlinear system. The nonlinear system for supervised control is considered in this paper is Inverted Pendulum which is well known problem for research due to it's highly nonlinear and unstable characteristics. Online ADALINE controller has been used here for control of system. ADALINE controller has the ability to adapt changes when any disturbance occurs in the process whereas other traditional controllers can operate correctly only if the plant operates around a certain operating point. ADALINE with LQR (linear quadratic regulator) has also been used for control of inverted pendulum. LQR is optimal control scheme, which is developed utilizing a linear state space model. The control schemes have also been tested for disturbance case. The simulation results justify the comparative advantage of LQR control method. © 2016 IEEE.


Mittal R.,Rajasthan Technical University Kota
Proceedings of 2015 International Conference on Signal Processing, Computing and Control, ISPCC 2015 | Year: 2015

The robust PI controller and state feedback (Linear Quadratic Regulator) controller are designed to stabilize the dynamic responses of active suspension system with parametric uncertainty followed by road irregularities. To take care about the parametric uncertainties in the suspension system, we design the controller to make robust by polytopic representation of the system. A graphical method is used for computing PI controller parameters for all feasible gain and phase margin specifications. For this purpose, a stability boundary locus in (kp, ki) - plane is used. To achieve the specified gain and phase margin of the system, a gain-phase margin tester is used and stability boundary locus is plotted. The controller gains guarantee the stabilization of the system response with uncertain parameters. The simulation results show the effectiveness of the proposed method. © 2015 IEEE.


Gupta R.,Rajasthan Technical University Kota
Journal of Electrical Engineering and Technology | Year: 2010

This paper proposes the use of fuzzy applications to a 4-machine and 10-bus system tocheck stability in open conditions. Fuzzy controllers and the excitation of a synchronousgenerator are added. Power system stabilizers (PSSs) are added to the excitation system to enhance damping during low frequency oscillations. A fuzzy logic power system stabilizer (PSS) for stability enhancement of a multi-machine power system is also presented. To attain stability enhancement, speed deviation (Δω) and acceleration (Δω̄) of the Kota Thermal synchronous generator rotor are taken as inputs to the fuzzy logic controller. Thesevariables have significant effects on the damping of generator shaft mechanical oscillations. The stabilizing signals are computed using fuzzy membership functions that are dependent on these variables. The performance of the fuzzy logic PSS is compared with the openpower system, after which the simulations are tested under different operating conditionsand changes in reference voltage. The simulation results are quite encouraging and satisfactory. Similarly, the system is tested for the different defuzzification methods, and based on the results, the centroid method elicits the best possible system response.


Bhati P.S.,Rajasthan Technical University Kota | Gupta R.,University of Kota
International Journal of Electrical Power and Energy Systems | Year: 2013

A robust fuzzy logic power system stabilizer (FLPSS) based on evolution and learning is proposed in this paper. A hybrid algorithm that combines learning and evolution is developed whereby each one complements other's strength. Parameters of FLPSS are encoded in chromosome (individual) of genetic algorithm (GA) population. Population of FLPSS in GA learns to stabilize electromechanical oscillations in power system at an operating point, as the best fitness becomes large steady value during successive generations. Operating region of FLPSS is enlarged by learning more operating points over the operating domain. Best FLPSS drawn from last generation is saved as designed FLPSS. Effectiveness of the proposed method is validated on a single machine infinite bus (SMIB) power system. Promising optimal stabilizing performance with designed FLPSS for considered power system is obtained at wide range of operating points. © 2013 Elsevier Ltd. All rights reserved.


Jamwal P.K.,Rajasthan Technical University Kota | Xie S.Q.,University of Auckland | Hussain S.,University of Auckland | Parsons J.G.,University of Auckland
IEEE/ASME Transactions on Mechatronics | Year: 2014

This paper presents the development of a novel adaptive wearable ankle robot for the treatments of ankle sprain through physical rehabilitation. The ankle robot has a bioinspired design, devised after a careful study of the improvement opportunities in the existing ankle robots. Robot design is adaptable to subjects of varying physiological abilities and age groups. Ankle robot employs lightweight but powerful pneumatic muscle actuators (PMA) which mimics skeletal muscles in actuation. To address nonlinear characteristics of PMA, a fuzzy-based disturbance observer (FBDO) has been developed. Another instance of an adaptive fuzzy logic controller based on Mamdani inference has been developed and appended with the FBDO to compensate for the transient nature of the PMA. With the proposed control scheme, it is possible to simultaneously control four parallel actuators of the ankle robot and achieve three rotational degrees of freedom. To evaluate the robot design, the disturbance observer, and the adaptive fuzzy logic controller, experiments were performed. The ankle robot was used by a neurologically intact subject. The robot-human interaction was kept as active-passive while the robot was operated on predefined trajectories commonly adopted by the therapists. Trajectory tracking results are reported in the presence of an unpredicted human user intervention, use of compliant and nonlinear actuators, and parallel kinematic structure of the ankle robot. © 1996-2012 IEEE.

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