NDLI: Digital control of a servo system using neural networks

Content Provider	IEEE Xplore Digital Library
Author	Shiguo, C. Holmes, D.G. Brown, W.A.
Copyright Year	1995
Description	Author affiliation: Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic., Australia (Shiguo, C.; Holmes, D.G.; Brown, W.A.)
Abstract	Many types of industrial drives require high performance controllers to ensure good dynamic performance in increasingly complex environments. One promising method to implement such a controller is to use neural networks which possess inherent self-learning, nonlinear mapping and fault-tolerant capability. However, a major issue with the application of neural network controllers is the question of how to optimally train for an effective control performance. Unfortunately since there is no systematic and universally effective method available for training, sometimes the performance of a "trained" neural network controller turns out to be significantly worse than expected, and much work remains to be done in this area. This paper presents the application of a newly established technique for training neural networks based on plant response, to develop a high performance brushless DC motor servo system where the position control is implemented by a neural network. The system uses a master/slave DSP structure to achieve the fast calculations required to realize the complex control algorithms, and interfaces to the outside world through a low cost 8 bit microprocessor which acts as an I/O front end master. The experimental results confirm the superior performance of neural network controllers and the effectiveness of the proposed master-slave architecture to implement a digital version of such a controller.
Starting Page	129
Ending Page	133
File Size	496058
Page Count	5
File Format	PDF
ISBN	0780330080
ISSN	01972618
DOI	10.1109/IAS.1995.530293
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-10-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Digital control Fault tolerance Industrial control Neural networks Optimal control Master-slave Control systems Electrical equipment industry Nonlinear dynamical systems Servomechanisms
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Electrical and Electronic Engineering

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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
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