Coke Oven Heating Process Fuzzy Adaptive PID Control System Research

2010 ◽  
Author(s):  
Le-peng Song ◽  
Da-yong Hu
Keyword(s):  
Control System ◽  
Pid Control ◽  
Coke Oven ◽  
Heating Process ◽  
System Research ◽  
Adaptive Pid Control ◽  
Fuzzy Adaptive

Comparison of Different Controllers for Automotive Electronic Throttle Based on Rapid Control Prototype Technique

2011 ◽  
Vol 130-134 ◽  
pp. 1943-1947
Author(s):  
Xian Ye ◽  
Yi Qiang Peng ◽  
Yan Cui Hui
Keyword(s):  
Control System ◽  
Pid Control ◽  
Electronic Throttle ◽  
Simulation Research ◽  
Automotive Electronic ◽  
Rapid Control ◽  
Adaptive Pid Control ◽  
Better Than ◽  
Fuzzy Adaptive ◽  
Electronic Throttle Control

Due to some nonlinear factors and time delay in electronic throttle, the opening of electronic throttle is difficult to control. For overcoming these difficulties, in this paper a fuzzy adaptive PID controller is designed for an electronic throttle control system. The model of electronic throttle control system is built based on Matlab/Simulink and realized with a hardware-in-the-loop simulation system, which is based on MACS565. Simulation research and experiment results show that, compared with PID control system, the fuzzy adaptive PID control system, has some advantages. The all performance index with the fuzzy adaptive PID control is better than that of the PID control.

The Algorithm of Fuzzy Adaptive PID Control Applied to the Multi-Channel Temperature Control System of the Injection Molding Machine

2013 ◽  
Vol 336-338 ◽  
pp. 826-832
Author(s):  
Yang Zhang ◽  
Wei Mo
Keyword(s):  
Control System ◽  
Injection Molding ◽  
Temperature Control ◽  
Pid Control ◽  
Temperature Control System ◽  
Molding Machine ◽  
Injection Molding Machine ◽  
Channel Temperature ◽  
Adaptive Pid Control ◽  
Fuzzy Adaptive

This paper presents a fuzzy adaptive PID control algorithm for the multi-channel temperature control system of injection molding machine. The article describes the structure and control rules of fuzzy adaptive PID controller and the hardware and software implementations of the temperature control system. The experimental result shows that the systems temperature control method has a good control effect on such kind of time-varying hysteretic complex temperature control system of injection molding machine, and it can finally reach the temperature control accuracy of ±1°C within the measuring range of 0~400°C.

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