Predictive control of induction motors using cascaded artificial neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s00202-023-02122-9.pdf
Reference30 articles.
1. Gonzalez-Prieto I, Zoric I, Duran MJ, Levi E (2019) Constrained model predictive control in nine-phase induction motor drives. IEEE Trans Energy Convers 34(4):1881–1889
2. Wang F, Zhang Z, Mei X, Rodríguez J, Kennel R (2018) Advanced control strategies of induction machine: field oriented control, direct torque control and model predictive control. Energies 11(1):120
3. Dan H, Zeng P, Xiong W, Wen M, Su M, Rivera M (2021) Model predictive control-based direct torque control for matrix converter-fed induction motor with reduced torque ripple. CES Trans. Electr. Mach. Syst. 5(2):90–99
4. Wróbel K, Serkies P, Szabat K (2020) Model predictive base direct speed control of induction motor drive—continuous and finite set approaches. Energies 13(5):1193
5. Zhang Y, Xia B, Yang H (2017) Performance evaluation of an improved model predictive control with field oriented control as a benchmark. IET Electr Power Appl 11(5):677–687
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Trade-Off Analysis of Drive Dynamics Considering Speed and Current Loops;Energies;2024-07-24
2. Advanced direct torque control based on neural tree controllers for induction motor drives;ISA Transactions;2024-05
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