Abstract
An intelligent model-based speed controller of permanent magnet synchronous motors (PMSM) is proposed in this paper, which synthesizes the simplicity of PID controller and the adaptability of artificial neural network based controller. Small signal model of the speed loop as the foundation of the framework of the controller is analyzed. The gradient rule is utilized to update the weights of the neuron inputs, and auxiliary retrain process is used to improve the dynamic performance of the controller. A comprehensive simulation was done to verify the validation of the intelligent speed controller. Comparison with the conventional PID controller demonstrates the outstanding performance and robustness of the proposed controller. The feasibility of implementation of the proposed speed controller on physical platforms is also covered in this paper.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Miller, T.J.E.: Permanent Magnet and Reluctance Motor Drives. Oxford Science Publications, Oxford (1989)
Pillay, P., Krishnan, R.: Application characteristics of permanent magnet synchronous and brushless dc motors for servo drives. IEEE Transactions on Industry Applications 27(5), 986–996 (1991)
Bose, B.K.: High performance control and estimation in ac drives. In: 23rd International Conference on Industrial Electronics, Control and Instrumentation, IECON 1997, vol. 2, pp. 377–385 (1997)
Rahman, M.A., Hoque, M.A.: On-line Adaptive Artificial Neural Network Based Vector Control of Permanent Magnet Synchronous Motors. IEEE Transactions on Energy Conversion 13(4), 311–318 (1998)
Zhang, X., Sun, L., Zhao, K., Sun, L.: Nonlinear Speed Control for Pmsm System Using Sliding-Mode Control and Disturbance Compensation Techniques. IEEE Transactions on Power Electronics 28(3), 1358–1365 (2013)
Choi, H.H., Jung, J.-W.: Discrete-time fuzzy speed regulator design for pm synchronous motor. IEEE Transactions on Industrial Electronics 60(2), 600–607 (2013)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tian, L., Liu, Y., Zhao, J. (2014). Intelligent Model-Based Speed Controller Design for PMSM. In: Pan, L., Păun, G., Pérez-Jiménez, M.J., Song, T. (eds) Bio-Inspired Computing - Theories and Applications. Communications in Computer and Information Science, vol 472. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45049-9_70
Download citation
DOI: https://doi.org/10.1007/978-3-662-45049-9_70
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45048-2
Online ISBN: 978-3-662-45049-9
eBook Packages: Computer ScienceComputer Science (R0)