scholarly journals The Design of the hydraulic model tests control system based on fuzzy self-adaptive PID algorithm

2007 ◽  
Author(s):  
Xiafu Lv ◽  
Chen Yong ◽  
Zheng Yongping ◽  
Guo Xinglong
Keyword(s):  
Control System ◽  
Hydraulic Model ◽  
Model Tests ◽  
Pid Algorithm ◽  
Self Adaptive

scholarly journals Design and Simulation of PEM Control System for Reactive Sputtering Coating

2011 ◽  
Vol 2-3 ◽  
pp. 57-62
Author(s):  
Ying Huang ◽  
Jin Yan Zhao ◽  
Cai Hong Chen ◽  
Yi Chen Zhang
Keyword(s):  
Control System ◽  
Flow Rate ◽  
Gas Flow ◽  
Single Neuron ◽  
Reactive Sputtering ◽  
Signal Acquisition ◽  
High Deposition Rate ◽  
Gas Flow Rate ◽  
Pid Algorithm ◽  
Self Adaptive

During the reactive sputtering process, due to the hysteresis effect, the sputtering state should be maintained in the transition region of the hysteresis curve which can used to obtain stoichiometric compound films at a high deposition rate. If sputtering state changes, it is impossible to make the sputtering state step back to the original point by manually control the process parameters, because the hysteresis is irreversible. Thus it requires a method of fast feedback to control the sputtering power and the reaction gas flow rate into the chamber. In this paper the PEM (plasma emission monitor) control system and the single neuron self-adaptive PID algorithm have been designed to maintain the sputtering state in proper condition, namely preventing the target from poisoned in the reactive sputtering. The signal acquisition and the controller design were the major parts of the PEM system. The signal acquisition was realized by the optical emission spectrometer. And the single neuron self-adaptive PID controller has been designed in the paper. Using the MATLAB software, the simulation experiments have been done. The output waveforms showed that using traditional non-adaptive PID control algorithm, the overshoot is over 6% and the regulation time is over 1.8s, but using single neuron self-adaptive PID algorithm the overshoot 0 and regulation time 0.5s. Monitoring the target spectral intensity at various reaction gas flow rate, several conclusions could be obtained. The overshoot 6% indicated that the reactive gas flow into the chamber was excessive, the target was poisoned and the sputtering state in chemical mode. And while the overshoot was zero which indicated that the target poisoned was avoided and the reaction ran in defined condition. The PEM using the single neuron self-adaptive PID algorithm responded faster than that using the traditional PID algorithm. The PEM system designed in the paper can effectively avoid the target poisoned and make the reactive sputtering maintain at an ideal state.

Acid-pickling plates and strips speed control system by microwave heating based on self-adaptive fuzzy PID algorithm

2012 ◽  
Vol 19 (8) ◽  
pp. 2179-2186 ◽  
Author(s):  
Biao Yang ◽  
Jin-hui Peng ◽  
Sheng-hui Guo ◽  
Shi-min Zhang ◽  
Wei Li ◽  
...  
Keyword(s):  
Control System ◽  
Microwave Heating ◽  
Speed Control ◽  
Fuzzy Pid ◽  
Acid Pickling ◽  
Adaptive Fuzzy ◽  
Pid Algorithm ◽  
Speed Control System ◽  
Self Adaptive

The Application of Adaptive Fuzzy PID in the Liquid Level Cascade Control System

2013 ◽  
Vol 846-847 ◽  
pp. 321-324 ◽  
Author(s):  
Le Peng Song ◽  
Hua Bin Wang
Keyword(s):  
Control System ◽  
Pid Control ◽  
Cascade Control ◽  
Liquid Level ◽  
Water Tank ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Adaptive Fuzzy ◽  
Cascade Control System ◽  
Self Adaptive

As liquid level cascade system has the character the issue of non-linearity ,time variability and the overshoot,tradition PID control can not meet the requirement of precise molding system. So devise a self-_ adaptive fuzzy PID control .A self-_ adaptive fuzzy PID control combined PID to control calculate way and faintness to control the advantage of method, this text permits water tank to carry on mathematics model to design the double permit a water tank liquid misty PID string class control system. Matlab/Simulink and fuzzy logic toolbox are simulated to the single loop PID control system,the cascade control system and the cascade control system based on fuzzy self-tuning PID were simulated with Simulink. The analysis and simulation results indicate that the character issue of non-linearity ,time variability and the overshoot of the liquid level cascade control system based on a self-_ adaptive fuzzy PID controller are superior to previous of two methods.

scholarly journals Discrete PID algorithm with non-uniform sampling – Practical implementation in control system

2018 ◽  
Author(s):  
Miroslaw Kondratiuk ◽  
Leszek Ambroziak ◽  
Ewa Pawluszewicz ◽  
Justyna Janczak
Keyword(s):  
Control System ◽  
Practical Implementation ◽  
Uniform Sampling ◽  
Pid Algorithm ◽  
Non Uniform Sampling
Sign in / Sign up

Export Citation Format

Share Document