期刊
JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL
卷 20, 期 10, 页码 17-22出版社
SPRINGER
DOI: 10.1016/S1006-706X(13)60170-3
关键词
hydraulic roll bending; CMAC neural network; PID control; genetic algorithm
资金
- National High-Tech Research and Development Program (863 Program) of China [2009AA04Z143]
- Natural Science Foundation of Hebei Province of China [E2006001038]
- Hebei Provincial Science and Technology Project of China [10212101D]
The hydraulic roll bending control system usually has the dynamic characteristics of nonlinearity, slow time-variance and strong outside interference in the rolling process, so it is difficult to establish a precise mathematical model for control. So, a new method for establishing a hydraulic roll bending control system is put forward by cerebellar model articulation controller (CMAC) neural network and proportional-integral-derivative (PID) coupling control strategy. The non-linear relationship between input and output can be achieved by the concept mapping and the actual mapping of CMAC. The simulation results show that, compared with the conventional PID control algorithm, the parallel control algorithm can overcome the influence of parameter change of roll bending system on the control performance, thus improve the anti-jamming capability of the system greatly, reduce the dependence of control performance on the accuracy of the analytical model, enhance the tracking performance of hydraulic roll bending loop for the hydraulic and roll bending force and increase system response speed. The results indicate that the CMAC-PID coupling control strategy for hydraulic roll bending system is effective.
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