Research on Chaotic and Control of the Rolling Mill Main Drive System

2013 ◽  
Vol 321-324 ◽  
pp. 1675-1678
Author(s):  
Xiao Ying Li ◽  
Rui Cheng Zhang ◽  
Tao Shi ◽  
Jia Cheng

Rolling mill as a class of key iron and steel industry metallurgical equipment, responsible for the national production of heavy plate strip, its productivity and product quality of course become the focus of attention. In a large rolling mill equipment, rolling mill drive system as the interface with the electrical system, electrical energy into mechanical energy, and rolled steel production process to meet the torque and speed required for high precision and high dynamic control performance. In this paper, plate and strip rolling mill of the early nonlinear dynamic system as the research object, through theoretical analysis, numerical simulation and experimental study, done the following work.For the beginning of the process of rolling mill main drive system of the nonlinear characteristics of chaotic motion, through the theoretical analysis has proved that the original vibration system to become passive equivalent non-linear systems, the use of passive non-linear system characteristics, a class of moving boundary mechanical vibration system to exert control over the chaotic behavior, simulation experiments show that the control strategy is not only achieved rapid control of the system, and control is simple, easy to achieve.

2013 ◽  
Vol 278-280 ◽  
pp. 1692-1695
Author(s):  
Lu Li ◽  
Zhong Fu Tan

Wind power and solar energy power are clean, abundant and renewable. Wind power and photovoltaic power are important alternative energy in the world, which will contribute to adjusting energy structures and protecting environments. The genetic algorithm has the characteristics of automatic optimization and approaches the simulate stuff illimitably. Also, there has no use for accurate model on questions, which is very suitable in the non-linear system. The wind/photovoltaic hybrid systems consist with wind power generation units, photovoltaic matrix, storage battery, diesel engine and data collection and control. This paper optimized the wind/photovoltaic hybrid system using genetic algorithm. The result showed the efficiency of this algorithm in the design of this kind of non-linear system. On the other hand, this hybrid system is strongly non-linear when is running. Finally, abundant operating expenses and maintains expenses will be saved by using genetic algorithm in its dynamic management according to the change of load, wind power and irradiation.


2015 ◽  
Vol 83 (1-2) ◽  
pp. 441-455 ◽  
Author(s):  
Shuang Liu ◽  
Zhaolong Wang ◽  
Jinjin Wang ◽  
Haibin Li

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