Control of electro-hydraulic servo system for a material test system using fuzzy nerual network

Author(s):  
Chunyu Zhao ◽  
Ke Gao ◽  
Xiujuan Liu ◽  
Banchun Wen
2007 ◽  
Vol 10-12 ◽  
pp. 513-517 ◽  
Author(s):  
Y. Zhao ◽  
D.C. Cong ◽  
Jun Wei Han

In industrial practice, for the designers and researchers of the electro-hydraulic servo system, it is desirable to boost the reliability of controllers, to shorten the design cycle of control algorithms, to simplify the modification of control algorithms during experiments and to shorten training period for operators. In this paper, we present a new, complete and integrated method based on the rapid control prototyping for the real-time digital control applied in electro-hydraulic servo system. The approach uses a collection of tools that include both software (LabVIEW and Matlab) and hardware (a host industrial computer and a target developed digital signal processor controller). An application example of the methodology, synchronous loading test system based on artificial neural networks, completes the discussion about the performance of the designed system.


2013 ◽  
Vol 753-755 ◽  
pp. 2674-2678
Author(s):  
Kun Yang ◽  
Cai Jun Liu ◽  
Shu Min Liu

Based on the situation that the hydraulic position servo system is easily influenced by the external interference and the parameters of which are different with time-varying, the fuzzy control can soften the buffeting and the sliding algorithm has no the same problems as the hydraulic position servo system, a brandly-new fuzzy sliding control algorithm is designed. In the simulation process, within the parameters of simulated time-varying and outside strong interference, the results show that the hydraulic servo system based on fuzzy sliding mode control algorithm has a greater resistance to internal and external interference and time-varying parameters.


2000 ◽  
Author(s):  
Xuanyin Wang

Abstract This paper researches on the hydraulic servo system by using ordinary on-off valves. The mathematic model of an asymmetric hydraulic cylinder servo control system is built, and its characteristic is analysed here. To reduce the static and dynamic characteristic differences between forward and reverse motion of asymmetric cylinder, and improve system’s performance, a self-tuning linear quadratic gaussian optimum controller (SLQG) is designed successful. In the end, an asymmetric hydraulic cylinder servo system of paint robot is researched. The result shows that the above method is effective.


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