Research and Application on Two-stage Fuzzy Neural Network Temperature Control System for Industrial Heating Furnace

2012 ◽  
Vol 7 (2) ◽  
Author(s):  
Xiaohong Peng ◽  
Zhi Mo ◽  
Shiyi Xie
Keyword(s):  
Neural Network ◽  
Control System ◽  
Temperature Control ◽  
Fuzzy Neural Network ◽  
Heating Furnace ◽  
Temperature Control System ◽  
Two Stage ◽  
Fuzzy Neural ◽  
Industrial Heating

Design of Temperature Control System Based on DSP and Fuzzy Neural Network

2013 ◽  
Vol 823 ◽  
pp. 384-387
Author(s):  
Ya Juan Chen ◽  
Yue Hong Zhang ◽  
Gen Wang Ying
Keyword(s):  
Neural Network ◽  
Control System ◽  
Temperature Control ◽  
Fuzzy Neural Network ◽  
Good Control ◽  
Temperature Control System ◽  
Control Effect ◽  
Fuzzy Neural ◽  
Electric Boiler ◽  
Self Tuning

Using fuzzy neural network to tune PID parameters, and DSP as processor, it was designed that a set of electric boiler temperature control system based on PID parameters self-tuning, including the design of each hardware module and each software subroutine of the system. Experimental results show that compared with the traditional PID temperature control system, this temperature control system has the advantages such as good control effect, easy parameter adjustment, strong anti-jamming capability, better adaptability and robustness, has the feasibility and practical value.

The Application Research of PLC Temperature Control System Based on Fuzzy Neural Network PID

2013 ◽  
Vol 340 ◽  
pp. 517-522
Author(s):  
Yong Wei Lu
Keyword(s):  
Neural Network ◽  
Control System ◽  
Temperature Control ◽  
Control Algorithm ◽  
Fuzzy Neural Network ◽  
Experimental Result ◽  
Temperature Control System ◽  
Pid Algorithm ◽  
Fuzzy Neural ◽  
Neural Network Pid

it is hard to establish the accurate model by using the traditional PID algorithm, and hard to adjust the system parameter in nonlinear system. In order to solve this problem, this paper proposed PID algorithm based on Fuzzy Neural Network. This algorithm combined PID algorithm, fuzzy control algorithm and neural network algorithm together, and formed one kind intelligent control algorithm. This paper designed and researched this algorithm, and applied in the PLC temperature control system. The experimental result indicated that the fuzzy neural network PID controller improved the controller quality, conquered some question such as variable parameter and nonlinear, and enhanced the systems robustness.

Research and Realization of Heating Furnace Temperature Control System Based on PIDNN

2011 ◽  
Vol 383-390 ◽  
pp. 3904-3908
Author(s):  
Hong Xia Tian ◽  
Pei Lei Jiang ◽  
Li Xin Tian
Keyword(s):  
Neural Network ◽  
Control System ◽  
Temperature Control ◽  
Heating Furnace ◽  
Temperature Control System ◽  
Furnace Temperature ◽  
Intelligent Control System ◽  
The Neural Network ◽  
Neural Network System ◽  
New Type

In view of the serious misalignment, the mathematical model's uncertainty, the characteristic of the system operating point changing fiercely of the heating furnace temperature control system, this paper designed a new type of intelligent control system - PID neural network system (PIDNN) which melt the PID control rule in the neural network. This system has the quick reasoning speed and the strong anti-interference ability.

Heating Furnace Temperature Control Model Based on Three-Dimensional Fuzzy Neural Network

2014 ◽  
Vol 494-495 ◽  
pp. 1233-1238
Author(s):  
Xiao Xu Dong ◽  
An Rui He ◽  
Wen Quan Sun ◽  
Nan Feng Zhang
Keyword(s):  
Neural Network ◽  
Temperature Control ◽  
Fuzzy Neural Network ◽  
Positive Impact ◽  
Three Dimensional ◽  
Control Model ◽  
Heating Furnace ◽  
Network Control ◽  
Time Variability ◽  
Fuzzy Neural

For the problem of inaccuracy of temperature control caused by large inertia, time variability; pure lag in the heating furnace, this article combined the learning mechanism of neural network control with the human thinking and reasoning of fuzzy control, establishing the 3 d fuzzy neural network system. Neural network is used to implement membership function, and drive the fuzzy reasoning. Using neural network, fuzzy modeling, achieve the goal of refinement fuzzy rules. Then I established the temperature control model of heating furnace which based on the fuzzy neural network. After using the model, the control accuracy and the uniformity of the slab temperature has been improved; the temperature difference between head and tail of slab has been reduced; which have a positive impact on the reducing of fuel consumption in the heating furnace, the improvement of yield in production line and the achievement of energy conservation and environmental protection.

Research on Intelligent Variable Frequency of Air-Conditioner Control System Based on Fuzzy Control

2011 ◽  
Vol 110-116 ◽  
pp. 4076-4084
Author(s):  
Hai Cun Du
Keyword(s):  
Neural Network ◽  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Neural Network ◽  
Air Conditioner ◽  
Neural Network Controller ◽  
The Neural Network ◽  
Network Controller ◽  
Fuzzy Neural ◽  
Fuzzy Control Strategy

In this paper, we determine the fuzzy control strategy of inverter air conditioner, the fuzzy control model structure, the neural network and fuzzy control technology, structural design of the fuzzy neural network controller as well as the neural network predictor FNNC NNP. Simulation results show that the fuzzy neural network controller can control the accuracy greatly improved the compressor, and the control system has strong adaptability to achieve a truly intelligent; model of the controller design and implementation of technology are mainly from the practical point of view, which is practical and feasible.

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