Febin Daya J L

Electrical

School of Electrical Engineering

Chennai Campus

S mohan krishna

Fulltext

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Perspectives in Science

This paper presents a comparison and real-time analysis of sliding mode disturbance observers for speed sensorless induction motor drives. The rotor speed tracking bandwidth and the load rejection capability are improved by altering the profile of the sliding hyperplane used in the state observer. The entire system is built in Simulink environment, and real-time RT-lab blocksets are integrated into the same and tested in a new Processor-in-Loop-based test bench. The Processor-in-Loop test bench uses the OP4500 real-time target and loop back adapters for signal routing. This ensures that there is a real-world signal transfer between the plant and the controller. © Springer Nature Singapore Pte Ltd. 2018.

Advances in Intelligent Systems and Computing Intelligent Engineering Informatics

Real-Time Analysis of a Nonlinear State Observer with Improved Disturbance Compensation for Sensorless Induction Motor

The purpose of this work is to present an adaptive sliding mode Luenberger state observer with improved disturbance rejection capability and better tracking performance under dynamic conditions. The sliding hyperplane is altered by incorporating the estimated disturbance torque with the stator currents. In addition, the effects of parameter detuning on the speed convergence are observed and compared with the conventional disturbance rejection mechanism. The entire drive system is first built in the Simulink environment. Then, the Simulink model is integrated with real-time (RT)-Lab blocksets and implemented in a relatively new real-time environment using OP4500 real-time simulator. Real-time simulation and testing platforms have succeeded offline simulation and testing tools due to their reduced development time. The real-time results validate the improvement in the proposed state observer and also correspond to the performance of the actual physical model. © 2017 by the authors. Licensee MDPI.

Energies

Real-Time Analysis of a Modified State Observer for Sensorless Induction Motor Drive Used in Electric Vehicle Applications

Speed Estimation without speed sensors is a complex phenomenon and is overly dependent on the machine parameters. It is all the more significant during low speed or near zero speed operation. There are several approaches to speed estimation of an induction motor. Eventually, they can be classified into two types, namely, estimation based on the machine model and estimation based on magnetic saliency and air gap space harmonics. This paper analyses the effect of incorrect setting of parameters like the stator resistance, rotor time constant, load torque variations and also Voltage unbalance on various adaptive control based speed estimation techniques fed from the machine model. It also shows how the convergence mechanisms of the adaptation schemes are affected during these conditions. The equivalent models are built and simulated offline using MATLAB/SIMULINK blocksets and the results are analysed.

International Journal of Power Electronics and Drive Systems (IJPEDS)

Effect of Parametric Variations and Voltage Unbalance on Adaptive Speed Estimation Schemes for Speed Sensorless Induction Motor Drives

Journal of The Institution of Engineers (India): Series B

Review of Real-Time Simulator and the Steps Involved for Implementation of a Model from MATLAB/SIMULINK to Real-Time

IEEE Transactions on Industrial Electronics

Model Reference Adaptive Controller-Based Rotor Resistance and Speed Estimation Techniques for Vector Controlled Induction Motor Drive Utilizing Reactive Power

Electric Power Systems Research

Sensorless control of inverter-fed induction motor drives

2006 IEEE International Power Electronics Congress

Power Electronics and AC Machine Drives - Advances and Trends

MRAS speed estimator with fuzzy and PI stator resistance adaptation for sensorless induction motor drives using RT-lab

Journal	Data powered by TypesetPerspectives in Science
Publisher	Data powered by TypesetElsevier BV
ISSN	2213-0209
Open Access	Yes