Abstract
The computation of speed in sensorless AC drive has gained much importance over the last few years. The main focus lies in evaluating the accurate value of speed for vector-controlled drives thereby making the use of an encoder at the machine shaft obsolete. Considered to be most simple of its kind, the model-based approach utilizes the linear time invariant and nonlinear time variant systems for speed estimation. In the proposed work two fuzzy controllers are adopted. One fuzzy-based adaptation scheme in the nonlinear feedback is used for obtaining proper speed estimate. In a vector-controlled induction motor, the problem that perseveres even after the evaluation of speed is the harmonics generated due to switching action which decreases the overall efficiency of the drive system. For an improved performance of the drive control system, a second fuzzy-based control is supplemented along with the PI Controller in the outer speed control loop. The significant feature of this work is the implementation of an intuitive fuzzy logic-based learning approach which is fast and effective. The type-1 fuzzy logic-based controller is designed which is less computationally intensive. An artificial intelligence-based machine model scheme which utilizes two fuzzy controllers (Dual Fuzzy) offers most satisfactory performance reducing the Total Harmonic Distortion (THD) to a great extent.
This is a preview of subscription content, log in via an institution to check access.
References
Teresa Orlowska-Kowalska and Mateusz Dybkowski: Stator Current based MRAS estimator for a wide range speed Sensorless induction motor drives, IEEE Transactions on Industrial Electronics vol. 51, no. 4, April 2010, pp. 1296–1308.
B. K. Bose, Power Electronics and Motor Drives, Pearson Education Inc., Delhi, India, 2003.
M. Rodic and K. Jezernik: Speed-sensorless sliding-mode torque control of induction motor, IEEE Transactions on Industrial Electronics, vol. 49, no. 1, pp. 87–95, February 2002.
L. Harnefors, M. Jansson, R. Ottersten and K. Pietilainen. Unified sensorless vector control of synchronous and induction motors, IEEE Transactions on Industrial Electronics, vol. 50, no. 1, pp. 153–160, February 2003.
M. Comanescu and L. Xu: An improved flux observer based on PLL frequency estimator for sensorless vector control of induction motors, IEEE Transactions on Industrial Electronics, vol. 53, no. 1, pp. 50–56, February 2006.
Radu Bojoi, Paolo Guglielmi and Gian-Mario Pellegrino: Sensorless direct field-oriented control of three-phase induction motor drives for low-cost applications, IEEE Transactions on Industrial Applications, vol. 44, no. 2, pp. 475–481, March 2008.
Boldea and S. A. Nasar, Electric Drives, Taylor & Francis, New York, 2006.
Joachim Holtz: Sensorless control of IM drives. In: Proceedings of IEEE vol. 90 August 2002, pp. 1359–1394.
C. Schauder: Adaptive speed identification for vector control of induction motors without rotational transducers, IEEE Transactions on Industrial Electronics, vol. 28, no. 5, pp. 1054–1061, September/October 1992.
M. Rashed and A. F. Stronach: A stable back-EMF MRAS-based sensorless low-speed induction motor drive insensitive to stator resistance variation. In: IEEE Proceedings on Electrical Power Applications, vol. 151, no. 6, pp. 685–693, November 2004.
F. Z. Peng and T. Fukao: Robust speed identification for speed-sensorless vector control of induction motors, IEEE Transactions on Industrial Applications, vol. 30, no. 5, pp. 1234–1240, September/October 1994.
G. Durgasukumar and M. K. Pathak: Torque ripple minimization of vector controlled VSI induction motor drive using neuro-fuzzy controller, International Journal of Advanced Engineering Science, vol. 1, no. 1, pp. 403, 2011.
Vijay Bhaskar Semwal, Pavan Chakraborty, G.C. Nandi: Less computationally intensive fuzzy logic (type-1)-based controller for humanoid push recovery. In: Robotics and Autonomous Systems 63 (2015): 122–135.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Mohana Lakshmi, J., Suresh, H.N., Pai, V.K.S. (2018). Nonlinear Speed Estimator and Fuzzy Control for Sensorless IM Drive. In: Somani, A., Srivastava, S., Mundra, A., Rawat, S. (eds) Proceedings of First International Conference on Smart System, Innovations and Computing. Smart Innovation, Systems and Technologies, vol 79. Springer, Singapore. https://doi.org/10.1007/978-981-10-5828-8_30
Download citation
DOI: https://doi.org/10.1007/978-981-10-5828-8_30
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-5827-1
Online ISBN: 978-981-10-5828-8
eBook Packages: EngineeringEngineering (R0)