Algorithm research for increasing accuracy of rolling mill servo system under the condition of state feedback

The control problem under the condition of uncertainty is an important subject of modern control field. In most control problems, the actual control object and mathematical model for the controller design are always present differences. These differences come from the object parameter uncertainty an...

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Vydáno v:2015 International Conference on Fluid Power and Mechatronics (FPM) s. 628 - 632
Hlavní autoři: Chen Gang, Cao Sai, Jiang Xintian, Wang Yiqun, Chang Ru
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.08.2015
Témata:
Control precision
Control theory
Controller algorithm
Heuristic algorithms
Mathematical model
Model accuracy
Servomotors
State feedback
Steady-state
Transfer functions
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Shrnutí:The control problem under the condition of uncertainty is an important subject of modern control field. In most control problems, the actual control object and mathematical model for the controller design are always present differences. These differences come from the object parameter uncertainty and time-varying, etc. Mill hydraulic position servo system is the complex nonlinear control system with parameter uncertainty and lots disturbance factors. There is biggish error of the model and the actual object. To eliminate the steady-state error caused by this kind of model error, the paper builds parallel compensation, gain integral compensation, online identification self-calibration and dynamic feedback control strategies on the basis of the steady state error resource and model correction. The simulation results show that the dynamic feedback algorithm has the advantages of both dynamic and static performance.
DOI:10.1109/FPM.2015.7337191