scholarly journals Fuzzy Cognitive Network by Adaptive Fuzzy PID Controller and Hybrid Optimization Algorithm

2019 ◽  
Vol 12 (28) ◽  
pp. 1-10
Author(s):  
Amit Chouksey ◽  
S. Awasthi ◽  
S. K. Singh ◽  
◽  
◽  
...  
Keyword(s):  
Optimization Algorithm ◽  
Pid Controller ◽  
Hybrid Optimization ◽  
Fuzzy Pid ◽  
Cognitive Network ◽  
Adaptive Fuzzy ◽  
Fuzzy Pid Controller ◽  
Hybrid Optimization Algorithm

Adaptive Fuzzy PID Designed for Solenoid Valve Test System

2009 ◽  
Vol 16-19 ◽  
pp. 910-914
Author(s):  
Bei Tao Guo ◽  
Hong Yi Liu ◽  
Yang Jiang ◽  
Fei Wang ◽  
Zhong Luo
Keyword(s):  
Pid Controller ◽  
Dynamic Performance ◽  
Fast Response ◽  
Test System ◽  
Solenoid Valve ◽  
Fuzzy Pid ◽  
Adaptive Fuzzy ◽  
Fuzzy Pid Controller ◽  
Test Platform ◽  
Self Adaptive

The performance of solenoid valve is directly related to the security and reliability of industrial system. This paper presents the design of the automatic test platform for solenoid valve. The architecture of the hydraulic subsystem and the control model of providing precise pressure for testing solenoid valve were built up. A self-adaptive fuzzy PID controller, which can dynamically modify the controller’s parameters by using fuzzy rules presented in this paper, was designed with considering the dynamic characteristics of hydraulic system. Simulation results show that the self-adaptive fuzzy PID controller, which compared with conventional PID controller, can obtain better dynamic performance and fast response.

scholarly journals Design of Adaptive Fuzzy PID Controller for Electropneumatic System

2020 ◽  
Vol 207 ◽  
pp. 04002
Author(s):  
Krasimir Ormandzhiev ◽  
Stanimir Yordanov
Keyword(s):  
Pid Controller ◽  
High Sensitivity ◽  
Variable Coefficients ◽  
Modern Technology ◽  
Graphical Form ◽  
Fuzzy Pid ◽  
Optimal Parameters ◽  
Adaptive Fuzzy ◽  
Fuzzy Pid Controller ◽  
Electropneumatic System

The purpose of the study is to develop an adaptive electropneumatic automatic system based on the classical PID controller using modern technology for controlling like fuzzy controlling. The need of an adaptive setting occurred because of the fact that the classic controller has high sensitivity towards interferences with the main signal and the need for the parameters to be regulated often and be done by hand. Another reason is the inability to provide optimal parameters for the controller for nonlinear processes and changes of the parameters in time. In this article the work of electropneumatic system with linear actuator, is examined. A mathematical model describing the dynamics of the processes, is developed. An adaptive fuzzy PID controller with variable coefficients is synthesized. The system is studied in the environment of Matlab Simulink. The transient processes in the system are compared to processes where the classical PID controller. The results are presented in graphical form.

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