PID Controll of Single Neuron for Switched Reluctance Motors Based on RBF Neural Network

Shu Fen Qi; Guo Dong Wang

doi:10.4028/www.scientific.net/AMR.383-390.6948

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Multivariable Distrubance Observer Based Analytical Non-Interacting Control of Mineral Grinding Circuits
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PID Controll of Single Neuron for Switched Reluctance Motors Based on RBF Neural Network
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Synchronous Controller of LED Video Displays and LED Lighting Compatible
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Embedded Data Acquisition System Based on LPC2290 and AD7715
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Reliability Test and Evaluation Analysis of Silicon Pressure Sensor under Vibration Stress
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 383-390PID Controll of Single Neuron for Switched...

PID Controll of Single Neuron for Switched Reluctance Motors Based on RBF Neural Network

Abstract:

This paper presents a novel approach of single neuron PID control for switched reluctance motors based on RBF neural network on-line identification. The method is adjusted to the nonlinearity of switched reluctance motors, and use the single neurons capable of self-learning and self-adaption to form the single neuron adaptive controller of switched reluctance motors. It not only has simple structure and strong robustness, but but can adapt to environmental changes. Also we construct a RBF network system to identify the system online, and to build its online reference model, using a single neuron controller to achieve self-learning of its parameters, in order to achieve their online adjustment, and to obtain better control effect.

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Periodical:

Advanced Materials Research (Volumes 383-390)

Pages:

6948-6952

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.383-390.6948

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Online since:

November 2011

Authors:

Shu Fen Qi, Guo Dong Wang

Keywords:

RBF Neural Network, Single Neuron, Switched Reluctance Motor (SRM)

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References

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