Parameter Estimation for PMSM based on a Back Propagation Neural Network Optimized by Chaotic Artificial Fish Swarm Algorithm

Jianwu Jiang, Zhi Chen, Yihuai Wang, Tao Peng, Shilang Zhu, Lianmin Shi


Permanent Magnet Synchronous Motor(PMSM) control system with strong nonlinearity makes it difficult to accurately identify motor parameters such as stator winding, dq axis inductance, and rotor flux linkage. Aiming at the premature convergence of traditional Back Propagation Neural Network(BPNN) in PMSM motor parameter identification, a new method of PMSM motor parameter identification is proposed. It uses Chaotic Artificial Fish Swarm Algorithm(CAFSA) to optimize the initial weights and thresholds of BPNN, and then strengthens training by BPNN algorithm. Thus, the global optimal network parameters are obtained by using the global optimization of CAFSA and the local search ability of BPNN. The simulation results and experimental data show that the initial value sensitivity of the network model optimized by CAFS-BPNN Algorithm is weak, the parameter setting is robust, and the system stability is good under complex conditions. Compared with other intelligent algorithms, such as RSL and PSO, CAFS-BPNNA has high identification accuracy and fast convergence speed for PMSM motor parameters.


Permanent Magnet Synchronous Motor(PMSM), Back Propagation Neural Network(BPNN), Chaotic Artificial Fish Swarm Algorithm(CAFSA), parameter estimation, identification accuracy, convergence speed

Full Text:



Babak, N.M.; Meibody-Tabar, F.; Sargos F.M.(2004). Mechanical sensorless control of PMSM with online estimation of stator resistance, IEEE Transactions on Industry Applications, 40(2), 457-471, 2004.

Boileau, T.; Leboeuf, N.; Nahid-Mobarakeh, B. et al.(2011). Online Identification of PMSM Parameters: Parameter Identifiability and Estimator Comparative Study, IEEE Transactions on Industry Applications, 47(4), 1944-1957, 2011.

Bose, B. K.(2009). Power Electronics and Motor Drives Recent Progress and Perspective, IEEE Transactions on Industrial Electronics, 56(2), 581-588, 2009.

Chen, Z.; Zhong, Y.; Li J.(2011). Parameter identification of induction motors using Ant Colony Optimization, IEEE World Congress on Computational Intelligence, IEEE.2011.

Da, Y.; Shi, X.; Krishnamurthy, M.(2013). A New Approach to Fault Diagnostics for Permanent Magnet Synchronous Machines Using Electromagnetic Signature Analysis, IEEE Transactions on Power Electronics, 28(8), 4104-4112, 2013.

Donoso, Y.; Montoya, G. A.; Solano F. (2015). An Energy-Efficient and Routing Approach for Position Estimation using Kalman Filter Techniques in Mobile WSNs, International Journal of Computers Communications & Control, 10(4), 500-507, 2015.

Gao, D.Q.(1998). On Structures of Supervised Linear Basis Function Feedforward Three-Layered Neural Networks, Chinese Journal of Computers, 21(1), 81-86, 1998.

Hajisalem, V.; Babaie, S.(2018). A Hybrid Intrusion Detection System Based on ABC-AFS Algorithm for Misuse and Anomaly Detection. Computer Network, 136, 37-50, 2018.

He, S.; Wu, Q. H.; Saunders, J. R.(2009). Group Search Optimizer - An Optimization Algorithm Inspired by Animal Searching Behavior, IEEE Transactions on Evolutionary Computation, 13(5), 973-990, 2009.

Kim, J.; Jeong, I.; Lee, K.(2014). Fluctuating Current Control Method for a PMSM Along Constant Torque Contours, IEEE Transactions on Power Electronics, 29(11), 6064-6073, 2014.

Liu K.; Zhang Q.; Chen J.; et al.(2011). Online Multiparameter Estimation of Nonsalient- Pole PM Synchronous Machines with Temperature Variation Tracking, IEEE Transactions on Industrial Electronics, 58(5), 1776-1788, 2011.

Liu, K.; Zhu, Z.Q.; Stone, D.A.(2013). Parameter Estimation for Condition Monitoring of PMSM Stator Winding and Rotor Permanent Magnets, IEEE Transactions on Industrial Electronics, 60(12), 5902-5913, 2013.

Liu, Q.; Hameyer, K.(2015). A fast online full parameter estimation of a PMSM with sinusoidal signal injection, Energy Conversion Congress & Exposition, IEEE, 2015.

Liu, Z.H.; Wei, H.L.; Zhong, Q.C.; et al.(2017). Parameter Estimation for VSI-Fed PMSM based on a Dynamic PSO with Learning Strategies. IEEE Transactions on Power Electronics, 32(4), 3154-3165, 2017.

Lu, K.; Vetuschi, M.; Rasmussen, P.O. et al.(2010). Determination of High-Frequency dand q- axis Inductances for Surface-Mounted Permanent-Magnet Synchronous Machines, IEEE Transactions on Instrumentation & Measurement, 59(9), 2376-2382, 2010.

Mirchandani, G.; Cao, W.(1989). On hidden nodes for neural nets, IEEE Transactions on Circuits and Systems, 36(5), 661-664, 1989.

Omar, S.H.; Roberto, M.R.; Jose, R.M.; Hayde, P.B.(2015). Parameter Identification of PMSMs Using Experimental Measurements and a PSO Algorithm, IEEE Transactions on Instrumentation & Measurement, 64(8), 2146-2154, 2015.

Pellegrino, G.; Vagati, A.; Guglielmi, P. et al.(2011). Performance Comparison Between Surface-Mounted and Interior PM Motor Drives for Electric Vehicle Application, IEEE Transactions on Industrial Electronics, 59(2), 803-811, 2011.

Sengottuvelan, P.; Rasath, N.(2016). BAFSA: Breeding Artificial Fish Swarm Algorithm for Optimal Cluster Head Selection in Wireless Sensor Networks, Wireless Personal Communications, 94(4), 1-13, 2016.

Shi, Y.; Sun, K.; Huang, L. et al.(2012). Online Identification of Permanent Magnet Flux Based on Extended Kalman Filter for IPMSM Drive With Position Sensorless Control, IEEE Transactions on Industrial Electronics, 59(11), 4169-4178, 2012.

Wei, C.; Xin, L.; Mei, C.(2009). Suboptimal Nonlinear Model Predictive Control Based on Genetic Algorithm, International Symposium on Intelligent Information Technology Application Workshops, IEEE, 2009.

Xiao, X.; Chen, C.; Zhang, M.(2010). Dynamic Permanent Magnet Flux Estimation of Permanent Magnet Synchronous Machines, IEEE Transactions on Applied Superconductivity, 20(3), 1085-1088, 2010.

Yan, H.; Wang, Y. R.; Shi, H. X.; Li, Q.; Zeng, Y. S.; Jaini, R.(2019). Solid-Liquid Flow of Axial Flow Pump in Loop Reactor and Operating Control with Single Invert, International Journal of Simulation Modelling, 18(3), 464-475, 2019.

Zhang, D.(2017). High-speed Train Control System Big Data Analysis Based on Fuzzy RDF Model and Uncertain Reasoning, International Journal of Computers Communications & Control, 12(4), 577-591, 2017.

Zhang, D.; Sui, J.; Gong, Y.(2017). Large scale software test data generation based on collective constraint and weighted combination method, Tehnicki Vjesnik, 24(4), 1041-1050, 2017.

Zhang, H.P.; Ye, J.H.; Yang, X. P.; Muruve, N.W.; Wang, J.T.(2018). Modified Binary Particle Swarm Optimization Algorithm in Lot-Splitting Scheduling Involving Multiple Techniques, International Journal of Simulation Modelling, 17(3), 534-542, 2018.


Copyright (c) 2019 Zhi Chen, jianwu jiang, yihuai wang

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

IJCCC is an Open Access Journal : CC-BY-NC.

Articles published in IJCCC user license are protected by copyright.

Users can access, download, copy, translate the IJCCC articles for non-commercial purposes provided that users, but cannot redistribute, display or adapt:

  • Cite the article using an appropriate bibliographic citation: author(s), article title, journal, volume, issue, page numbers, year of publication, DOI, and the link to the definitive published version on IJCCC website;
  • Maintain the integrity of the IJCCC article;
  • Retain the copyright notices and links to these terms and conditions so it is clear to other users what can and what cannot be done with the  article;
  • Ensure that, for any content in the IJCCC article that is identified as belonging to a third party, any re-use complies with the copyright policies of that third party;
  • Any translations must prominently display the statement: "This is an unofficial translation of an article that appeared in IJCCC. Agora University  has not endorsed this translation."

This is a non commercial license where the use of published articles for commercial purposes is forbiden. 

Commercial purposes include: 

  • Copying or downloading IJCCC articles, or linking to such postings, for further redistribution, sale or licensing, for a fee;
  • Copying, downloading or posting by a site or service that incorporates advertising with such content;
  • The inclusion or incorporation of article content in other works or services (other than normal quotations with an appropriate citation) that is then available for sale or licensing, for a fee;
  • Use of IJCCC articles or article content (other than normal quotations with appropriate citation) by for-profit organizations for promotional purposes, whether for a fee or otherwise;
  • Use for the purposes of monetary reward by means of sale, resale, license, loan, transfer or other form of commercial exploitation;

    The licensor cannot revoke these freedoms as long as you follow the license terms.

[End of CC-BY-NC  License for Website User]

INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL (IJCCC), With Emphasis on the Integration of Three Technologies (C & C & C),  ISSN 1841-9836.

IJCCC was founded in 2006,  at Agora University, by  Ioan DZITAC (Editor-in-Chief),  Florin Gheorghe FILIP (Editor-in-Chief), and  Misu-Jan MANOLESCU (Managing Editor).

Ethics: This journal is a member of, and subscribes to the principles of, the Committee on Publication Ethics (COPE).

Ioan  DZITAC (Editor-in-Chief) at COPE European Seminar, Bruxelles, 2015:

IJCCC is covered/indexed/abstracted in Science Citation Index Expanded (since vol.1(S),  2006); JCR2018: IF=1.585..

IJCCC is indexed in Scopus from 2008 (CiteScore2018 = 1.56):

Nomination by Elsevier for Journal Excellence Award Romania 2015 (SNIP2014 = 1.029): Elsevier/ Scopus

IJCCC was nominated by Elsevier for Journal Excellence Award - "Scopus Awards Romania 2015" (SNIP2014 = 1.029).

IJCCC is in Top 3 of 157 Romanian journals indexed by Scopus (in all fields) and No.1 in Computer Science field by Elsevier/ Scopus.


 Impact Factor in JCR2018 (Clarivate Analytics/SCI Expanded/ISI Web of Science): IF=1.585 (Q3). Scopus: CiteScore2018=1.56 (Q2);

SCImago Journal & Country Rank

Editors-in-Chief: Ioan DZITAC & Florin Gheorghe FILIP.