Study of Speed Identification for Vector Control System Based on the Adaptive Variable Step-Size BP Algorithm

2013 ◽  
pp. 419-426
Author(s):  
Yunhai Hou ◽  
Hongwei Zhang ◽  
Kai Mei
Keyword(s):  
Control System ◽  
Vector Control ◽  
Bp Algorithm ◽  
Variable Step Size ◽  
Step Size ◽  
Variable Step ◽  
Vector Control System ◽  
Speed Identification

Adaptive IIR Filter Using Variable Step Size for Active Noise Control Inside a Short Duct

2008 ◽  
Author(s):  
Ho-Wuk Kim ◽  
Sang-Kwon Lee
Keyword(s):  
Control System ◽  
Noise Control ◽  
Active Noise Control ◽  
Fir Filter ◽  
Variable Step Size ◽  
Step Size ◽  
Iir Filter ◽  
Active Noise ◽  
Lms Filter ◽  
Variable Step

FIR filter for a adaptive filter algorithm, is mostly used for an active noise control system. However, FIR filter needs to have more large size of the filter length than it of IIR filter. Therefore, the control system using FIR adaptive filter has slow calculation time. In the active noise control system of the short duct, the reference signal can be affected by the output signal, so IIR filter for ARMA system can be more suitable for the active noise control of the short duct than FIR filter for MA system. In this paper, the recursive LMS filter, which is adaptive IIR filter, is applicated for the active noise control inside the short duct. For faster convergence and more accurate control, a variable step size algorithm is introduced for this recursive LMS filter (R-VSSLMS filter). Using this algorithm and considering the secondary path, the filtered-u R-VSSLMS is conducted successfully on the real experiment in the short duct. The performance of the active control using the filtered-u R-VSSLMS filter, is compared with the performance of the active control using a filtered-x LMS filter.

Simulation Research of Vector Control System Based on the Improved MRAS Speed Sensorless

2013 ◽  
Vol 273 ◽  
pp. 419-423 ◽  
Author(s):  
Ling Xiao Yang ◽  
Jing Zhang
Keyword(s):  
Control System ◽  
Vector Control ◽  
Asynchronous Motor ◽  
Estimation Method ◽  
Identification Algorithm ◽  
Speed Sensorless ◽  
Simulation Research ◽  
Sensorless Vector Control ◽  
Vector Control System ◽  
Speed Identification

According to the basic principle of vector control for the asynchronous motor, a speed sensorless vector control system of asynchronous motor is bulit which based on the Model Reference Adaptive System (MRAS) theory. The traditional MRAS speed identification algorithm is vulnerable to the effects of stator resistance, an improved method of MRAS speed identification is put forward. A simulation model of the speed sensorless vector control system based on MRAS is bulit in Matlab/simulink, the simulation results show that the speed estimation method can accurately calculate the speed of motor.

Punching Mould Quotation System Based on the Variable Step-Size BP Algorithm

2011 ◽  
Vol 403-408 ◽  
pp. 2835-2838
Author(s):  
Hai Xia Wang ◽  
Shu Hui Ding ◽  
Ai Hua Liu
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Artificial Neural Network Model ◽  
Bp Algorithm ◽  
Variable Step Size ◽  
Step Size ◽  
Variable Step ◽  
Artificial Neural

This paper builds the Artificial Neural Network model on the amelioration of the traditional BP arithmetic, which is applied to the study of magnitype punching mould quotation system. And the quotation scheme based on the ANN is proposed. By adjusting the error, the article resolves the multi-factor, non-linearity problem in the quotation system.

Simulation of the Speed-Sensorless Vector Control System Based on MRAS

2014 ◽  
Vol 960-961 ◽  
pp. 1203-1206
Author(s):  
Shen Zhou ◽  
Wen Yan Chen
Keyword(s):  
Control System ◽  
Vector Control ◽  
Current Model ◽  
Motor Speed ◽  
Software Environment ◽  
Speed Sensorless ◽  
Rotor Flux ◽  
Basic Equations ◽  
Vector Control System ◽  
Speed Identification

Aimed at the problem of speed identification for the asynthetic motor speed-less sensor vector control system, based on basic equations of vector control and centered by the current model and voltage model of rotor flux linkage, after the establishment of the rotor speed identification module by module reference self-adaptation theory (MRAS), this paper builds the MRAS speed-less sensor vector control system and establishes the system simulation model in Simulink software environment. Simulation results show that: the system has good dynamic and static characteristics and stability. Key words: speed-less sensor; vector control; MRAS; simulation CLC: TM343.2 Document Code:A

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