Main steam temperature composite control system based on variable universe fuzzy logic control integrated with immune and self-tuning PID controller

2009 ◽  
Author(s):  
Zhen-Jie Yan ◽  
Yang Xue ◽  
Jian-Hua Ye ◽  
Hong Qian ◽  
Xu-Hong Yang
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Logic Control ◽  
Pid Controller ◽  
Steam Temperature ◽  
Composite Control ◽  
Variable Universe ◽  
Logic Control ◽  
Self Tuning ◽  
Main Steam

The Application Study of Temperature Control Strategy for Boiler

2013 ◽  
Vol 313-314 ◽  
pp. 462-465
Author(s):  
Guo Qiang Hou ◽  
Ping Lv
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Control ◽  
Temperature Control ◽  
Control Strategy ◽  
Fuzzy Logic Control ◽  
Steam Temperature ◽  
Application Study ◽  
Fuzzy Control System ◽  
Logic Control

The series fuzzy control system is designed for boiler steam temperature based on the characteristics of boiler steam temperature control. The composition, the principles and the algorithm were presented in this paper. The corresponding fuzzy logic control system is simulated and analyzed with MATLAB.

Sistem Kontrol Optimal Fuzzy-Particle Swarm Optimization

2018 ◽  
Vol 9 (1) ◽  
pp. 1-5
Author(s):  
Fachrudin Hunaini ◽  
Imam Robandi ◽  
Nyoman Sutantra
Keyword(s):  
Fuzzy Logic ◽  
Particle Swarm Optimization ◽  
Control System ◽  
Membership Function ◽  
Fuzzy Logic Control ◽  
Particle Swarm ◽  
Optimization Method ◽  
Swarm Optimization ◽  
Motion Error ◽  
Logic Control

Fuzzy Logic Control (FLC) is a reliable control system for controlling nonlinear systems, but to obtain optimal fuzzy logic control results, optimal Membership Function parameters are needed. Therefore in this paper Particle Swarm Optimization (PSO) is used as a fast and accurate optimization method to determine Membership Function parameters. The optimal control system simulation is carried out on the automatic steering system of the vehicle model and the results obtained are the vehicle's lateral motion error can be minimized so that the movement of the vehicle can always be maintained on the expected trajectory

Permanent Magnet Chatter Absorber with Fuzzy Logic Control

2009 ◽  
Vol 147-149 ◽  
pp. 290-295 ◽  
Author(s):  
Bogdan Broel-Plater ◽  
Stefan Domek ◽  
Arkadiusz Parus
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Logic Control ◽  
Control Algorithm ◽  
Permanent Magnets ◽  
Practical Experience ◽  
High Energy ◽  
Logic Control ◽  
Machine Operators

The paper deals with semi-active chatter absorber based on an electrodynamic transducer built around high-energy permanent magnets. Also, a fuzzy logic control system for the absorber control system has been designed. The principal advantage of fuzzy control is the possibility to implement practical experience gained by machine operators in the control algorithm. Hence, the possibility of factoring such quantities, as vibrations experienced by selected points of the machine-tool, and sound emitted by working machine into the analyzed chatter absorber fuzzy control system has been studied in the paper. The control system has been tested by way of simulation with the use of the process and cutting force models.

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