NDLI: Three-Motor Synchronous Speed-Regulation System Based on RBF Neural Network Control

Content Provider	IEEE Xplore Digital Library
Author	Chen Chong Liu Xing-qiao
Copyright Year	2010
Abstract	Three-motor synchronous speed-regulation system is a multi-input multi-output(MIMO), nonlinear, and coupling complex control system. This paper focuses on the system of induction motors powered by current-track type SPWM transducers, establishes the mathematical model of the system in the way of analytical expression. Self-tuning PID controllers based on RBF neural network and neuron decoupling compensator are adopted to realize the adaptive decoupling control of speed and tension. Simulation and experiment results show that compared with traditional PID constant parameters control, the control system can obtain optimal parameters of the PID controller according to online identification of the RBF network, realize the better decoupling control of speed and tension, and possess better dynamic and static performance and good robustness. Thus, the method presented in the paper meets the requirements of many industrial control environments, with good application prospects. And it can be extended to the usual multi-motor(n=3)system.
Starting Page	405
Ending Page	409
File Size	487617
Page Count	5
File Format	PDF
ISBN	9781424495955
DOI	10.1109/CDEE.2010.102
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Induction motors Adaptive systems Three-motor Online identification Neurons Artificial neural networks Radial basis function networks Decoupling control Control systems Synchronous motors Neural network Synchronous control
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Multi-motor synchronous system based on neural network decoupling control

Experimental study on decoupling control of multi-motor synchronous based on an optimized neural network inverse

Study on double motor synchronous system of neural network control

Speed control of induction motor using neural network sliding mode controller

Internal Model Control of PM Synchronous Motor Based on RBF Network optimized by Genetic Algorithm

Stator Flux Linkage Observer Based on RBF Neural Network for IM

The Comparison of On line control of Three Phase Induction Motor Using RBF and B-Spline Neural Network

Three-motor synchronous decoupling control based on BP neural network

Three-Motor Variable-Freqency Speed-Regulation Synchronous System Based on Neural Network Control

Three-Motor Synchronous Speed-Regulation System Based on RBF Neural Network Control

Similar Documents

Multi-motor synchronous system based on neural network decoupling control

Experimental study on decoupling control of multi-motor synchronous based on an optimized neural network inverse

Study on double motor synchronous system of neural network control

Speed control of induction motor using neural network sliding mode controller

Internal Model Control of PM Synchronous Motor Based on RBF Network optimized by Genetic Algorithm

Stator Flux Linkage Observer Based on RBF Neural Network for IM

The Comparison of On line control of Three Phase Induction Motor Using RBF and B-Spline Neural Network

Three-motor synchronous decoupling control based on BP neural network

Three-Motor Variable-Freqency Speed-Regulation Synchronous System Based on Neural Network Control

Three-Motor Synchronous Speed-Regulation System Based on RBF Neural Network Control