Recurrent Fuzzy Neural Cerebellar Model Articulation Network Fault-Tolerant Control of Six-Phase Permanent Magnet Synchronous Motor Position Servo Drive

A recurrent fuzzy neural cerebellar model articulation network (RFNCMAN) fault-tolerant control of a six-phase permanent magnet synchronous motor (PMSM) position servo drive is proposed in this study. First, the fault detection and operating decision method of the six-phase PMSM position servo drive...

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Bibliographic Details
Published in:IEEE transactions on fuzzy systems 2016-02, Vol.24 (1), p.153-167
Main Authors: Lin, Faa-Jeng, Sun, I-Fan, Yang, Kai-Jie, Chang, Jin-Kuan
Format: Article
Language:English
Subjects:
Fault tolerance
Fault tolerant systems
fault-tolerant control
Fuzzy logic
Lyapunov stability
Motors
Printing machinery
Recurrent fuzzy neural cerebellar model articulation network (RFNCMAN)
Servomotors
six-phase permanent magnet synchronous motor (PMSM)
Taylor series expansion
Torque
Uncertainty
Windings
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Summary:A recurrent fuzzy neural cerebellar model articulation network (RFNCMAN) fault-tolerant control of a six-phase permanent magnet synchronous motor (PMSM) position servo drive is proposed in this study. First, the fault detection and operating decision method of the six-phase PMSM position servo drive is developed. Then, an ideal computed torque controller is designed for the tracking of the rotor position reference command. In general, it is impossible to design an ideal computed control law owing to the uncertainties of the six-phase PMSM position servo drive, which are difficult to know in advance for practical applications. Therefore, the RFNCMAN, which combined the merits of a recurrent fuzzy cerebellar model articulation network and a recurrent fuzzy neural network, is proposed to estimate a nonlinear equation included in the ideal computed control law with a robust compensator designed to compensate the minimum reconstructed error. Furthermore, the adaptive learning algorithm for the online training of the RFNCMAN is derived using the Lyapunov stability to guarantee the closed-loop stability. Finally, the proposed RFNCMAN fault-tolerant control system is implemented in a 32-bit floating-point DSP. The effectiveness of the six-phase PMSM position servo drive using the proposed intelligent fault-tolerant control system is verified by some experimental results.
ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2015.2446535