Title :
Researches on the mixture compensating method based on dynamic neural network and genetic algorithm
Author :
Zhao, Weilun ; Wang, Yan ; Zhou, Yucheng ; Jing, Yuanwei
Author_Institution :
Shenyang Inst. of Eng., Shenyang, China
Abstract :
Because of complexity of automatic mixture system, conventional compensating control method cannot meet the required question precisely. A kind of mixture control system, based on dynamic neural network, is designed through analyzing the influence precision factors of mixture. Simulation is studied by collecting the mixture historical data from field engineering. And the simulation results illustrate that the method can reduce the mixture error effectively.
Keywords :
control system synthesis; genetic algorithms; mixtures; neurocontrollers; process control; automatic mixture system; dynamic neural network; field engineering; genetic algorithm; influence precision factors; mixture compensating control method; mixture control system; mixture error reduction; mixture historical data; Artificial neural networks; Computers; Control systems; Genetic algorithms; Heuristic algorithms; Neurons; Training; Dynamic neural network; Genetic algorithm; Mixture control; PLC;
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
DOI :
10.1109/CCDC.2011.5968782
