Fuzzy Adaptive Controller Design for IPMSM with System Uncertainties and Disturbances Considering
Main Article Content
Abstract
This paper proposed a T-S fuzzy model based adaptive fuzzy controller for the interior permanent magnet synchronous motors. Firstly, the T-S fuzzy model of the system is built based on the nonlinear dynamic model. Next, the adaptive fuzzy controller is designed to deal with the problems of system uncertainties and external disturbances. This controller includes two phases, one is for system stability and one for compensating the effect of the unknown components. The stability of the system, as well as the convergence of the adaptive law, is mathematically proven through Lyapunov theory. Finally, some simulations are done to verify the effectiveness of the presented scheme. The simulation results show that the proposed algorithm has a good response to the change of reference input, the system parameters variation, and the sudden change of the load torque.
Keywords
adaptive controller, disturbances, fuzzy controller, IPMSM, uncertainties
Article Details
References
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[8] N. Bedetti, S. Calligaro, R. Petrella, Analytical Design and Autotuning of Adaptive Flux-Weakening Voltage Regulation Loop in IPMSM Drives With Accurate Torque Regulation, IEEE Transactions on Industry Applications, vol. 56, no. 1, 2020.
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[11] N. T.-T. Vu, D.-Y. Yu, H. H. Choi, and J.-W. Jung, T-S Fuzzy-Model-Based Sliding-Mode Control for Surface-Mounted Permanent-Magnet Synchronous Motors Considering Uncertainties, IEEE Transactions On Industrial Electronics, vol. 60, 2013.
[2] M. Malekpour, R. A. Abarghooee, V. Terzija, Maximum torque per ampere control with direct voltage control for IPMSM drive systems, International Journal of Electrical Power & Energy Systems, vol. 116, 2020.
[3] E-K. Kim, J. Kim, H. T. Nguyen, H. H. Choi, J.-W. Jung, Compensation of Parameter Uncertainty Using an Adaptive Sliding Mode Control Strategy for an Interior Permanent Magnet Synchronous Motor Drive, IEEE Access, vol. 7, 2019.
[4] M. S. Rafaq, S. A. Q. Mohammed, J.-W. Jung, Online Multiparameter Estimation for Robust Adaptive Decoupling PI Controllers of an IPMSM Drive: Variable Regularized APAs, IEEE/ASME Transactions on Mechatronics, vol. 24, no. 3, 2019.
[5] D. Xiao, S. Nalakath, Y. Sun, J. Wiseman, A. Emadi, Complex-Coefficient Adaptive Disturbance Observer for Position Estimation of IPMSMs With Robustness to DC Errors, IEEE Transactions on Industrial Electronics, vol. 67, no. 7, 2020.
[6] H. Chaoui, M. Khayamy, O. Okoye, Adaptive RBF Network Based Direct Voltage Control for Interior PMSM Based Vehicles, IEEE Transactions on Vehicular Technology, vol. 67, no. 7, 2018.
[7] Z. Chen, J. Qiu, M. Jin, Adaptive finite-control-set model predictive current control for IPMSM drives with inductance variation, IET Electric Power Applications, vol. 11, no. 5, 2017.
[8] N. Bedetti, S. Calligaro, R. Petrella, Analytical Design and Autotuning of Adaptive Flux-Weakening Voltage Regulation Loop in IPMSM Drives With Accurate Torque Regulation, IEEE Transactions on Industry Applications, vol. 56, no. 1, 2020.
[9] M. Moradian, J. Soltani, A. N. Khodabakhsh, G. R. A. Markadeh, Adaptive Torque and Flux Control of Sensorless IPMSM Drive in the Stator Flux Field Oriented Reference Frame, IEEE Transactions on Industrial Informatics, vol. 15, no. 1, 2019.
[10] M. S. Rafaq, A. T. Nguyen, H. H. Choi, J.-W. Jung, Disturbance Rejection of IPMSM Drives by Simplified Taylor Series-Based Near Optimal Control Scheme in Wide Speed Range, IEEE Access, vol. 7, 2019.
[11] N. T.-T. Vu, D.-Y. Yu, H. H. Choi, and J.-W. Jung, T-S Fuzzy-Model-Based Sliding-Mode Control for Surface-Mounted Permanent-Magnet Synchronous Motors Considering Uncertainties, IEEE Transactions On Industrial Electronics, vol. 60, 2013.