scholarly journals Development of PID-based furnace temperature control system for zirconium calcination

2020 ◽  
Vol 1436 ◽  
pp. 012120
Author(s):  
Enrico Willmanda Febriardy ◽  
Sutanto ◽  
Adi Abimanyu
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Temperature Control System ◽  
Furnace Temperature

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.

Fluidized Bed Temperature Control System Based on Virtual Instrument Technology and Fuzzy PID Algorithm

2012 ◽  
Vol 562-564 ◽  
pp. 1594-1597
Author(s):  
Chun Qia Liu ◽  
Shi Feng Yang
Keyword(s):  
Control System ◽  
Fluidized Bed ◽  
Temperature Control ◽  
Virtual Instrument ◽  
High Reliability ◽  
Temperature Control System ◽  
Fuzzy Pid ◽  
Furnace Temperature ◽  
Pid Algorithm ◽  
Upper Computer

The fluidized bed is a complex system with a big lag, time-varying and non-linear. The conventional-PID methods are simple, practical, and high reliability. However, choosing and adjusting PID parameters rely on manual way. It is difficult to choose appropriate values when temperature requirement is higher. Inappropriate values may cause large overshoot and low control precision. Thus, in order to obtain more accurate and rapid PID control parameters and to avoid errors caused by human factors, the fuzzy control and PID algorithm were applied to the fluidized bed furnace temperature control system. The Fuzzy-PID controller was designed and the three PID parameters' self-tuning was realized. Simultaneously, the upper computer and the lower computer were designed. The lower computer mainly completed temperature measurement and adjustment functions. The collected temperature was transferred back to the upper computer at regular intervals. The upper computer was designed by virtual instrument technology. Practical operation shows that the temperature variation is below 0.3 when heating oven is in stable state and is close to the ideal PID response curve, which meets the average requirements of the fluidized bed heating oven. As an advanced reactor, fluidized bed was widely used in industrial process such as combustion, gasification and catalytic cracking[1].As the temperature affect the gas product composition of the fluidized bed, so improving the furnace temperature utilizing the automatic control system is one of the important issues furnace. The fluidized bed heating oven is heated by resistance wire heating and cooled by natural cooling. The temperature control after the adjustment is slow. It is a complex system with a big lag, time-varying and non-linear. Currently, the conventional-PID methods were taken to control the fluidized bed heating oven's temperature. This method is simple, practical, and high reliability. However, choosing and adjusting PID parameter rely on manual way, it is difficult to choose an appropriate values .Inappropriate values may cause large overshoot and low control precision. Thus, in order to obtain more accurate and rapid PID control parameters and to avoid errors caused by human factors, the fuzzy control and PID algorithm are applied to the fluidized bed furnace temperature control system. The self-tuning fuzzy PID controller is designed. Compared with the outdated control methods, PC control is more flexible and even more long-range.

Research on Fuzzy Control in Vacuum Heat Treatment Furnace Temperature Control System

2013 ◽  
Vol 397-400 ◽  
pp. 1236-1240
Author(s):  
Xiao Yan Wang ◽  
Zhi Wen Zhou
Keyword(s):  
Heat Treatment ◽  
Control System ◽  
Fuzzy Control ◽  
Temperature Control ◽  
Temperature Control System ◽  
Vacuum Heat Treatment ◽  
Single Chip ◽  
Furnace Temperature ◽  
Heat Treatment Furnace ◽  
Treatment Furnace

Vacuum heat treatment furnace temperature parameter is a large time delay, nonlinear,time-varying and complex control objects, Single-chip computer is used as the control core to achieve the temperature control through the fuzzy control algorithm, the hardware structure an software design process are given in this paper, the control precision, dynamic characteristics, and optimization of the performance are improved by this control system.

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