Fr. 68.00

Adaptive Sensorless Induction Motor Drive with Sliding Mode Controller - Analysis, Simulation, and FPGA based Implementation. DE

English · Paperback / Softback

Shipping usually within 2 to 3 weeks (title will be printed to order)

Description

Read more

Induction motors are the workhorse for the industry. Speed sensorless control in an induction motor drive offers many advantages like additional mechanical robustness, improved electrical signal noise immunity, minimum space utilisation, shaft availability on both sides of the motor for loading along with cost reduction. This book has reported two new classes of Model Reference Adaptive Control (MRAC) based speed sensorless drives that work in all operating regions with minimum parameter sensitivity especially at low speeds. Further, it has also proposed second order sliding mode controllers to make the drive robust to parameter variations. The induction machine vector control algorithm along with the proposed estimation and control schemes is simulated using Matlab/Simulink and the results are reported. Also, the propositions are experimentally verified using an FPGA based low cost hardware setup developed in the laboratory. A detailed description of the low cost hardware setup developed in the laboratory is also provided along with the test results of the proposed algorithms.

Product details

Authors Chandan Chakraborty, Prof. Chandan Chakraborty, A. V. Ravi Teja, Dr. A. V. Ravi Teja
Publisher LAP Lambert Academic Publishing
 
Languages English
Product format Paperback / Softback
Released 15.09.2022
 
EAN 9786205496138
ISBN 9786205496138
No. of pages 204
Subject Natural sciences, medicine, IT, technology > Physics, astronomy > Electricity, magnetism, optics

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.