scholarly journals Adaptive Fuzzy PID Controller applied to micro turbojet engine

2021 ◽  
Vol 2128 (1) ◽  
pp. 012030
Author(s):  
Ahmed M shehata ◽  
Mohamed K khalil ◽  
Mahmoud M Ashry
Keyword(s):  
Pid Controller ◽  
Fuzzy Logic Controller ◽  
Paper Analysis ◽  
Superior Performance ◽  
Fuzzy Pid ◽  
Digital Controllers ◽  
Adaptive Fuzzy ◽  
Engine Model ◽  
Fuzzy Pid Controller ◽  
Turbojet Engine

Abstract Digital controllers are utilized for controlling modern gas turbine engines. Firstly, an identified discrete model is built for a micro turbojet engine (MTE) jet cat P200sx. Two controllers are designed, gain scheduling PID and adaptive fuzzy tuned PID controllers are presented in this paper. Analysis of traditional PID and Adaptive fuzzy tuned PID controller applied for micro turbojet engine is presented. According to the fuzzy rules, a fuzzy logic controller (FLC) is developed to modify the gains of the PID controller automatically. MATLAB/Simulink is utilized to simulate the complete device consisting of an adaptive fuzzy PID controller, and the micro turbojet engine model. The two controllers’ responses are compared. A comparison of the robustness of each controller against the effect of noise and rejection of disturbance is illustrated. The results showed that, through small rise time, small set time, minimal overshoot, and minimal SteadyState speed error, the PID controller adaptive fuzzy tuned provides better dynamic MTE action and thus superior performance.

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.

Application of Hybrid Fuzzy-PID Control with Coupled Rules in the Hydraulic Positioning System

2012 ◽  
Vol 220-223 ◽  
pp. 402-405
Author(s):  
Li Hong Dong
Keyword(s):  
Fuzzy Logic ◽  
Hydraulic System ◽  
Pid Controller ◽  
Fuzzy Logic Controller ◽  
Fast Response ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Positioning Control ◽  
Fuzzy Pid Controller ◽  
Hybrid Fuzzy Pid

According to the nonlinearity and time-variation of the positioning control in hydraulic system, a kind of Hybrid Fuzzy-PID Controller with Coupled Rules (HFPIDCR) is proposed. In this control system, the bulk modulus is considered as a variable. The novelty of this controller is to combine the fuzzy logic and PID controllers in a switching condition. Simulation results of the HFPIDCR are compared with the results of traditional PID, Fuzzy Logic Controller (FLC), and Hybrid Fuzzy-PID Controller (HFPID). It is demonstrated that the HFPIDCR has fast response, short adjustment time, high control precision and other advantages, and it can meet the requirements of the positioning control in hydraulic system.

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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