NDLI: Intelligent position control of permanent magnet synchronous motor using recurrent fuzzy neural cerebellar model articulation network

Content Provider	IET Digital Library
Author	Lin, Faa Jeng Yang, Kai Jie Sun, I Fan Chang, Jin Kuan
Abstract	A recurrent fuzzy neural cerebellar model articulation network (RFNCMAN) control is proposed in this paper for position servo drive systems to track various periodical position references with robustness. The adopted position servo drive system is designed using a six-phase PMSM and equipped with a fault-tolerant control scheme. First, an ideal computed torque controller is designed for the tracking of the rotor position reference command. Since the uncertainties of the PMSM position servo drive system are difficult to know in advance, it is impossible to design an ideal computed control law for practical applications. Therefore, the RFNCMAN is proposed to mimic the ideal computed torque controller with a compensated controller to compensate the approximation error. In the RFNCMAN, a recurrent fuzzy cerebellar model articulation network (RFCMAN) is adopted in the first dimension to enhance the online learning rate and localisation learning capability. Moreover, a general recurrent fuzzy neural network (RFNN) is adopted in the second dimension to enhance the generalisation performance and to reduce the required memory and rule numbers. Finally, the proposed position control system is implemented in a 32-bit floating-point DSP. The effectiveness of the proposed RFNCMAN control system is verified by some experimental results.
Starting Page	248
Ending Page	264
Page Count	17
ISSN	17518660
Volume Number	9
e-ISSN	17518679
Issue Number	Issue 3, Mar (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-epa/9/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-epa.2014.0088
Journal	IET Electric Power Applications
Publisher Date	2015-03-02
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	32-bit Floating-point DSP Computed Torque Controller Control of Electric Power System Digital Signal Processing Chips Digital Signal Processor Drive DSP-based Recurrent Fuzzy Neural Cerebellar Model Articulation Network Fault Tolerant Control Fault-tolerant Control Scheme Fuzzy Control Generalisation Performance Intelligent Control Intelligent Position Control Localisation Learning Machine Control Neurocontrol Neurocontrollers Online Learning Periodical Position References Permanent Magnet Motors Permanent Magnet Synchronous Motor PMSM Position Servo Drive System Position Control Position Servo Drive System RFNCMAN Control Rotor Position Reference Command Rotors Servomechanisms Six-phase Permanent Magnet Synchronous Motor Spatial Variables Control Synchronous Machine Synchronous Motor Drive Torque Control
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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