Parameters optimization of ADRC based on adaptive CPSO algorithm and its application in main-steam temperature control system

2018 ◽  
Author(s):  
Guolian Hou ◽  
Mengyi Wang ◽  
Linjuan Gong ◽  
Jianhua Zhang
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Parameters Optimization ◽  
Temperature Control System ◽  
Steam Temperature ◽  
Main Steam

scholarly journals Simulation of Main Steam Temperature Control System Based on Neural Network

2018 ◽  
Vol 5 (1) ◽  
pp. 63
Author(s):  
Fengzhi Dai ◽  
Yujie Yan ◽  
Baochang Wei ◽  
Yuxing Ouyang ◽  
Lingran An
Keyword(s):  
Neural Network ◽  
Control System ◽  
Temperature Control ◽  
Temperature Control System ◽  
Steam Temperature ◽  
Main Steam

scholarly journals Analysis of boiler main steam temperature control system with multi-model switching

2019 ◽  
Vol 490 ◽  
pp. 072042
Author(s):  
Ruicai Si ◽  
Zhi Xia ◽  
Zhongyan Wang ◽  
Jia Li ◽  
Fuxin Ma ◽  
...  
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Temperature Control System ◽  
Steam Temperature ◽  
Main Steam

PID Control of Main Steam Temperature Used Quantum Particle Swarm Optimization

2012 ◽  
Vol 591-593 ◽  
pp. 1204-1207
Author(s):  
Yan Min Nie ◽  
Tao Wang ◽  
Ying Bo An
Keyword(s):  
Particle Swarm Optimization ◽  
Control System ◽  
Temperature Control ◽  
Particle Swarm ◽  
Temperature Control System ◽  
Particle Swarm Algorithm ◽  
Steam Temperature ◽  
Swarm Optimization ◽  
Boiler Operation ◽  
Main Steam

The main steam temperature is always an important indicator of the boiler operation quality, high or low will affect the quality of boiler operation. At first, introduce a algorithm PSO, which can used to optimize the PID parameters of a main steam temperature control system. Then, improved the PSO, and studied a kind of improved particle swarm algorithm—quantum apply quantum-behaved particle swarm optimization (QPSO). And this algorithm is used to optimize the PID parameters of a main steam temperature control system, got the best parameters. In the end, simulation result shows that, compared with basic particle swarm optimization (PSO),QPSO can make main steam temperature control system has a better control of quality, and improves the system of static and dynamic characteristics.

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