基于混沌PSONN-PID神经网络的热连轧活套系统自适应解耦控制（英文）  

Adaptive decoupling control for looper system of hot strip mill based on chaos PSONN- PID neural network

作　　者：Jian-xin ZHOU 

机构地区：[1]School of Electrical Engineering,North China University of Science and Technology, Tangshan 063000, China

出　　处：《机床与液压》2016年第6期30-35,68,共7页Machine Tool & Hydraulics

基　　金：Sponsored by Key project in Hebei Province Department of Education (No. ZD2015059)

摘　　要：To improve the performance of PSO （particle swarm optimization） optimization algorithm, a new algo-rithm - CPSO （chaotic particle swarm optimization）was proposed. The algorithm chaotic search mechanismwas introduced to the particle swarm algorithm to increase the diversity of particle. In order to improve the dimin-ishing policy flaws, the algorithm also adopts the methods of increasing particle interaction strategy and the first-increased-then-decreased inertia weight factor model to set inertia weight factor. The improved algorithm and PIDsingle neuron are combined, and which is used in hot rolling looper decoupling control system. Simulation resultsshow that the algorithm can overcome the defects of PSO in prematureness and being easy to fall into local opti-mum. This research puts forward a new and effective way to solve the high tension coupling problem in looper sys-tem.To improve the performance of PSO(particle swarm optimization) optimization algorithm,a new algorithm– CPSO(chaotic particle swarm optimization)was proposed. The algorithm chaotic search mechanism was introduced to the particle swarm algorithm to increase the diversity of particle. In order to improve the diminishing policy flaws,the algorithm also adopts the methods of increasing particle interaction strategy and the first-increased-then-decreased inertia weight factor model to set inertia weight factor. The improved algorithm and PID single neuron are combined,and which is used in hot rolling looper decoupling control system. Simulation results show that the algorithm can overcome the defects of PSO in prematureness and being easy to fall into local optimum. This research puts forward a new and effective way to solve the high tension coupling problem in looper system.

关 键 词：PSO LOOPER system Adaptive DECOUPLING control Neural networks 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]