YU Yu-zhen
,
REN Xin-yi
,
DU Feng-shan
,
SHI Jun-jie
钢铁研究学报(英文版)
In view of characteristics of particle swarm optimization (PSO) algorithm of fast convergence but easily falling into local optimum value, a novel improved particle swarm optimization algorithm is put forward, and it is applicable to identify parameters of hydraulic pressure system model in strip rolling process. In order to maintain population diversity and enhance global optimization capability, the algorithm is firstly improved by means of decreasing its inertia weight linearly from the maximum to the minimum and then combined with chaotic characteristics of ergodicity, randomness and sensitivity to initial value. When the improved algorithm is used to identify parameters of hydraulic pressure system, the comparison of simulation curves and measured curves indicates that the identification results are reliable and close to actual situation. A new method was provided for hydraulic AGC system model identification.
关键词:
hydraulic pressing system
,
PSO algorithm
,
chaos
,
self-adaptive
,
parameter identification
REN Xin-yi
,
DU Feng-shan
,
HUANG Hua-gui
,
ZHANG Shang-bin
钢铁研究学报(英文版)
Based on the hydraulic bending control system, the electrohydraulic servo pressure control simulation model is built. Taking into account of the inadequacy of P-type immune feedback controller, an improved fuzzy immune PID controller is put forward. Drawing on immune feedback principle of biological immune system, the P-type immune feedback controller is connected with conventional PID controller in series and then in parallel with design fuzzy immune PID controller. The controller parameters can be adjusted on line by the rules of immune feedback controller and fuzzy controller. In order to gain the optimal parameters of the controller, the parameters of the controller are off-line optimized by the best multiple optimal model PSO algorithm. The simulation results indicate that the method has characteristics of small overshoot, short adjusting time and strong anti-interference ability and robustness. The quality of the strip shape can be further improved.
关键词:
electrohydraulic bending system
,
immune feedback control
,
fuzzy control
,
PSO algorithm
,
strip shape
