scholarly journals Hybrid fuzzy-PID control in a thermo solar power plant condenser

Author(s):  
Juan Antonio Romera Cabrerizo ◽  
Matilde Santos ◽  
Victoria Lopez
Author(s):  
Rong Liu ◽  
Xuanyin Wang ◽  
Xuchu Huang

This paper presents a fuzzy tracking control methodology for hydraulic control system of robot with generalized pulse modulation (GPCM) control by combining the merits of fuzzy logic and conventional linear control theory. The hydraulic control systems with GPCM control have the high nonlinearity and uncertain dynamics, therefore the simple linear or nonlinear differential equations cannot sufficiently represent corresponding practical system. The designed controllers based on the model cannot guarantee the good performance such as stability and robustness. A hybrid of fuzzy and PID control algorithm is proposed as the solution. The control algorithm is separated into two parts: fuzzy control and PID control. The fuzzy controller is used to control the piston when the piston is near the desired position, and PID controller is applied when the piston is far away the target position. The hybrid fuzzy PID is implemented on computer and applied to control the arms of hydraulic robot with GPCM control. The results from the experiments show that the proposed hybrid fuzzy PID control has good performance.


2000 ◽  
Vol 33 (5) ◽  
pp. 203-207
Author(s):  
Raul Garduno-Ramirez ◽  
Kwang Y. Lee

2014 ◽  
Vol 599-601 ◽  
pp. 794-797 ◽  
Author(s):  
Yun Jing Liu ◽  
Yu Long Wu

The boiler system in power plant consists mainly of a steam-water system and combustion system, which produce a high-pressure superheated steam to drive a generator in order to produce power. The steam temperature control of the boiler system is a critical operational consideration. Parameters of boiler producing process must be controlled strictly. But the boiler system has high nonlinearity, large delay, strong coupling and load disturbance. Therefore it is difficult to develop practical mathematical model of the control object using the traditional PID control. In order to realize the optimal control of steam temperature, this paper presents the adaptive fuzzy-PID control Strategy. Simulation results based on MATLAB show that the proposed strategy can largely improve the system response performance compared with the traditional PID control


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