Improvement of Heat Furnace Temperature Control System Via Model Free Control Method

2010 ◽  
Author(s):  
Zenghuan Liu ◽  
Guangxiang He ◽  
Lizhen Wang
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Control Method ◽  
Temperature Control System ◽  
Furnace Temperature ◽  
Heat Furnace ◽  
Model Free ◽  
Model Free Control

scholarly journals PID Controller Based Nelder Mead Algorithm for Electric Furnace System with Disturbance

1970 ◽  
Vol 10 (1) ◽  
pp. 71-79
Author(s):  
Vunlop Sinlapakun ◽  
Wudhichai Assawinchaichote
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Electric Furnace ◽  
Pid Controller ◽  
Direct Synthesis ◽  
Optimization Procedure ◽  
Temperature Control System ◽  
Magnitude Response ◽  
Furnace Temperature ◽  
Traditional Methods

This paper presents a design of PID controller for furnace temperature control system with disturbance. Currently, PID controller has been used to operate in electric furnace temperature control system because its structure is simpler compared to others. However, the issue of tuning and designing PID controller adaptively and efficiently is still open. This paper presents an improved PID controller efficiency from tuning by Nelder Mead method. The parameters of PID controller shall be obtained from the Nelder Mead optimization procedure. Errors between desired magnitude response and actual magnitude response are calculated by using the Integral of Absolute Error (IAE). The proposed Nelder Mead based PID design method is simpler, more efficient and effective than the existing traditional methods included Ziegler Nichols, Cohen-Coon and Direct Synthesis. Simulation result shows that the performance of PID controller using this proposed method is better than traditional methods and resistant to disturbance.

PID Parameter Setting Based on Fuzzy Control Algorithm and its Application in the Temperature Control System of Airplane

2012 ◽  
Vol 588-589 ◽  
pp. 1503-1506
Author(s):  
Fang Ding ◽  
Tao Ma
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Temperature Control ◽  
Control Algorithm ◽  
Control Method ◽  
Fuzzy Controller ◽  
Temperature Control System ◽  
System Control ◽  
Control Effect ◽  
Fuzzy Control Algorithm

This Temperature control system of aircraft cabin is a complex system with nonlinear, time-varying, model inaccurate and work environment uncertain. According to the system control requirements, the fuzzy controller with the characteristic of fast response speed, good stability and strong resistance to interference is used in the study. The system error is adjusted constantly by using fuzzy control algorithm and simulation study is conducted in the software Matlab. The results are showed that control effect of control method used in this study is better than the traditional PID control method, and dynamic performance, steady state accuracy and robustness of system is effectively improved.

The Research of Furnace Temperature Control Technology Based on Model Free Adaptive Control System

2014 ◽  
Vol 596 ◽  
pp. 580-583
Author(s):  
Jian Chen ◽  
Xue Han
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Temperature Control ◽  
Glass Furnace ◽  
Control Process ◽  
Multivariable Control ◽  
Control Technology ◽  
Adaptive Control System ◽  
Furnace Temperature ◽  
Model Free

According to the analysis of furnace temperature control, a new control process which is based on the technique of model free adaptive control, is proposed against the defects of traditional control system. Through the analysis of the characters of MFAC and its utility for continuous and non-linear multivariable control system of glass furnace, a satisfied result indicates the good application of MFAC on temperature control of glass furnace.

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