Vibration compensation control strategy of composite cage rotor bearingless induction motor based on fuzzy coefficient adaptive-linear-neuron method

• Published in: ISA transactions Vol. 154; pp. 455 - 464
• Main Authors: Lu, Chengling, Yang, Zebin, Sun, Xiaodong, Ding, Qifeng
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.11.2024
• Subjects: Composite cage rotor bearingless induction motor; Fuzzy coefficient adaptive-linear-neuron; Vibration compensation; Fuzzy coefficient adaptive-linear-neuron; Vibration compensation; Composite cage rotor bearingless induction motor
• ISSN: 0019-0578; 1879-2022; 1879-2022
• DOI: 10.1016/j.isatra.2024.09.003

To address the vibration problem induced by rotor eccentricity in a composite cage rotor bearingless induction motor(CCR-BIM), a vibration compensation control approach based on the fuzzy coefficient adaptive-linear-neuron is proposed. Firstly, the CCR-BIM mathematical model and the mechanism of unbalanced vibration are investigated, obtaining the expression of rotor displacement when the rotor is unbalanced. Afterwards, the displacement is decomposed by the fuzzy coefficient adaptive-linear-neuron algorithm to obtain the harmonic component related to vibration, and the value range of the weight coefficient is determined using stability analysis. Furthermore, through analyzing the shortcomings of the traditional PID vibration compensation method, a rotor vibration compensation method based on the fuzzy coefficient adaptive-linear-neuron is put forward to achieve high-performance vibration compensation control. Finally, the PID method and the proposed fuzzy coefficient adaptive-linear-neuron algorithm are simulated and verified by experiments. The findings demonstrate that the proposed algorithm successfully not only suppresses rotor unbalanced vibration but also exhibiting great dynamic performance. •Dual adaptive-linear-neuron is proposed to solve the problem of PID's insufficient ability to regulate periodic signals.