Position Tracking System of Filling Machine Based on Compound Control Strategy

2013 ◽  
Vol 380-384 ◽  
pp. 321-324
Author(s):  
Zhi Qiang Wei ◽  
Dan Jin
Keyword(s):  
Control Strategy ◽  
Pid Controller ◽  
Single Neuron ◽  
Tracking System ◽  
Dynamic State ◽  
Position Tracking ◽  
Compound Control ◽  
Good Ability ◽  
On Line ◽  
Single Neuron Pid

In view of the complexity and periodic motion of automatic filling machine, a novel compound control strategy based on single neuron PID model reference adaptive control and repetitive control is proposed. Diagonal recurrent neural network (DRNN) is used as on-line identifier of system for the single neuron PID controller to adjust its weights and PID parameters by self-learning and self-adapting. The dynamic state performance can be improved by adaptive PID controller based on DRNN on-line Identification and the steady state performance is improved by modified repetitive controller. Simulation results show that the control system has good ability of restraining disturbances and high position tracking precision and good robustness.

Immune Single Neuron Control of Level in Spherical Vessel

2011 ◽  
Vol 65 ◽  
pp. 358-362
Author(s):  
Ling Zhang ◽  
Bei Chen ◽  
Shi Zhong Hu
Keyword(s):  
Nonlinear System ◽  
Pid Controller ◽  
Single Neuron ◽  
Good Control ◽  
Control Performance ◽  
Practical Application ◽  
Spherical Vessel ◽  
Nonlinear Characteristics ◽  
On Line ◽  
Single Neuron Pid

To solve the problem of nonlinear characteristics of spherical vessels, an immune single neuron PID controller (ISNPID) is proposed in this paper. The ISNPID controller combines the immune principle with single neuron PID, it can improve the learning rate and reduce the adjusting time of single neuron PID controller. The interim process of the spherical vessel system could also be optimized. Good control performance of nonlinear system could be realized according to the on-line self-adjusting gain by the ISNPID controller. Simulation result shows that ISNPID controller has strong adaptability and robustness. Efficiency and applicability of the ISNPID controller could be proved in practical application.

Design and Simulation of DC Speed Regulating System Based on Fuzzy Control

2012 ◽  
Vol 220-223 ◽  
pp. 1258-1261
Author(s):  
Li Hong Wang
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Control Method ◽  
Dynamic State ◽  
State Function ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
On Line ◽  
Start Process ◽  
The Ideal

PID control is adopted in traditional DC speed regulating system. In start process the current super adjustment value is big. When adding load perturbation and voltage perturbation suddenly, its dynamic state function will be decended. Aimming at this problem, a kind of improved system was put forward. The speed modulator used fuzzy PID controller, according to e and ec, the parameters of the modulator can be modified on line. The current modulator adopted integral separable PID control method. The simulation results indicated that the improved system has better dynamic state function and anti- Rao function. Particularly the start current wave closes to the ideal rectangle wave more. So the responding speed of the system can be sped.

Stable Adaptive Control Strategy in Thrust System of Shield Machine

2013 ◽  
Vol 273 ◽  
pp. 699-703
Author(s):  
Rui Hu ◽  
Guo Fang Gong ◽  
Lin Tao Wang ◽  
Xu Yang
Keyword(s):  
Adaptive Control ◽  
Control Strategy ◽  
Single Neuron ◽  
Loop Control ◽  
Pressure Feedback ◽  
Thrust System ◽  
Adaptive Control Strategy ◽  
Single Neuron Pid ◽  
Adaptive Ability ◽  
Shield Machine

In this paper, a stable adaptive control strategy was proposed to improve the adaptive ability of thrust system of shield machine. The control strategy is composed of internal pressure feedback loop control and external advanced single neuron PID loop control. Its effectiveness was finally demonstrated by the result of AMESim-Matlab/Simulink Co-simulation.

Stability Analysis of Bridge Crane Hoists

2014 ◽  
Vol 543-547 ◽  
pp. 111-114
Author(s):  
Yun Yan Song
Keyword(s):  
Control Strategy ◽  
Pid Control ◽  
Single Neuron ◽  
Bridge Crane ◽  
Matlab Simulation ◽  
Factors Affecting ◽  
Overhead Cranes ◽  
Depth Study ◽  
Main Factors ◽  
Single Neuron Pid

Hoist bridge crane swinging phenomenon often occurs during the operation, making the work more difficult, there is a certain danger. To solve this problem, anti-sway system for overhead cranes depth study to identify the main factors affecting heavy lifting swinging; proposed single neuron PID control strategy, while using MATLAB simulation used to verify the reliability of the method.

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