Neural Network Based Self-Learning Control Strategy for Electronic Throttle Valve

2010 ◽  
Vol 59 (8) ◽  
pp. 3757-3765 ◽  
Author(s):  
Xiaofang Yuan ◽  
Yaonan Wang ◽  
Lianghong Wu ◽  
Xizheng Zhang ◽  
Wei Sun
Keyword(s):  
Neural Network ◽  
Control Strategy ◽  
Learning Control ◽  
Electronic Throttle ◽  
Throttle Valve ◽  
Self Learning

A Neural Network Based Self-learning Control System for Underwater Robots.

1995 ◽  
Vol 13 (7) ◽  
pp. 1006-1019 ◽  
Author(s):  
Teruo Fujii ◽  
Tamaki Ura ◽  
Taku Sutoh ◽  
Kazuo Ishii
Keyword(s):  
Neural Network ◽  
Control System ◽  
Learning Control ◽  
Underwater Robots ◽  
Self Learning

Self-Learning Control of PMA-Actuated Knee-Joint Rehabilitation Training Device Based on Fuzzy Neural Network

2011 ◽  
Vol 467-469 ◽  
pp. 1645-1650
Author(s):  
Xiao Li ◽  
Xia Hong ◽  
Ting Guan
Keyword(s):  
Neural Network ◽  
Knee Joint ◽  
Pid Controller ◽  
Fuzzy Neural Network ◽  
Control Method ◽  
Learning Control ◽  
Training Device ◽  
Rehabilitation Training ◽  
Fuzzy Neural ◽  
Self Learning

To solve the problem of the delay, nonlinearity and time-varying properties of PMA-actuated knee-joint rehabilitation training device, a self-learning control method based on fuzzy neural network is proposed in this paper. A self-learning controller was designed based on the combination of pid controller, feedforward controller, fuzzy neural network controller, and learning mechanism. It was applied to the isokinetic continuous passive motion control of the PMA-actuated knee-joint rehabilitation training device. The experiments proved that the self-learning controller has the properties of high control accuracy and unti-disturbance capability, comparing with pid controller. This control method provides the beneficial reference for improving the control performance of such system.

Neural network-based self-learning control for power transmission line deicing robot

2012 ◽  
Vol 22 (5) ◽  
pp. 969-986 ◽  
Author(s):  
Yimin Yang ◽  
Yaonan Wang ◽  
Xiaofang Yuan ◽  
Youhui Chen ◽  
Lei Tan
Keyword(s):  
Neural Network ◽  
Transmission Line ◽  
Power Transmission ◽  
Learning Control ◽  
Power Transmission Line ◽  
Self Learning

Research on Adaptive Learning Control Strategy of Daul-Cylinder Synchronous Hydraulic System

2013 ◽  
Vol 456 ◽  
pp. 240-243
Author(s):  
Guo Hua Zhao
Keyword(s):  
Adaptive Learning ◽  
Control Strategy ◽  
Hydraulic System ◽  
Simulation Analysis ◽  
Learning Control ◽  
Servo Control ◽  
Control Scheme ◽  
Adaptive Learning Control ◽  
Incremental Form ◽  
Self Learning

In allusion to the system that there is but only severe time-varying and non-flexible coupling between the two hydraulic channels, the daul-cylinder hydraulic synchronous movement servo control system is designed for large die casting equipment, and its control model is establish. By guiding thought of self-learning control strategy, two levels of speed control scheme is adopted in the hydraulic system, namely the level adjustment and secondary servo compensation adjustment. On the basis, adaptive learning control scheme is established. Thus, its control strategy algorithm of incremental form is presented. Finally, through MATLAB(R2010a), the simulation analysis has been carried on to the system, the emulational results show that the control scheme can make the system to achieve excellent performances of synchronous movement.

On Self-Learning Control Strategy for Robot Manipulators

1988 ◽  
Vol 21 (16) ◽  
pp. 195-200
Author(s):  
Song Yong-duan ◽  
Gao Wei-Bing ◽  
Cheng Mian
Keyword(s):  
Control Strategy ◽  
Robot Manipulators ◽  
Learning Control ◽  
Self Learning
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