Paper Title:
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.

  Info
Periodical
Advanced Materials Research (Volumes 383-390)
Chapter
Chapter 27: Semiconductor Materials Manufacturing
Edited by
Wu Fan
Pages
6948-6952
DOI
10.4028/www.scientific.net/AMR.383-390.6948
Citation
S. F. Qi, G. D. Wang, "PID Controll of Single Neuron for Switched Reluctance Motors Based on RBF Neural Network", Advanced Materials Research, Vols. 383-390, pp. 6948-6952, 2012
Online since
November 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Feng Shan Wang, De Li Jia, Shu Jin Zhang, Chong Jiang Liu, De Kui Xu
Abstract:An identification-free adaptive control strategy based on expert amendment is proposed in this paper to solve the problem that it is...
1470
Authors: Zheng Mei Cheng, Xiao Ding Guo, Xiao Ke Chen, Jing Xin Deng
Abstract:The voltage stability of test power source system about small locomotive is poor, and the response speed is slow. The theory of adaptive...
240
Authors: Guan Shan Hu, Hai Rong Xiao
Chapter 7: Mechanical & Automation
Abstract:Given the uncertainty of parameters and the random nature of disturbance, a ship motion, is a complicated control problem. This paper has...
989
Authors: Xiao Huo Li, Yan Tao Hu, Qing Di Chi, Shuai Wei Bai
Chapter 4: Deep Sea Mining Equipments, Complex Equipment Design and Extreme Manufaturing
Abstract:In order to suit better for variations of coal and rock with different properties, solve the problem of big fluctuation of a cutting motor...
856
Authors: Gong She Shi, Lei Huang, Wei Hu
Chapter 7: Control, Automation and Sensors
Abstract:The brushless DC motor (BLDCM) non-linear and the complexity of the working conditions are likely to cause the conventional PID servo control...
838