COMPARISON OF MULTIVARIABLE CONTROL ALGORITHMS FOR LOAD-SENSING ELECTRO-HYDRAULIC SERVO SYSTEM

Author(s):  
Tsonyo Slavov ◽  
Alexander Mitov ◽  
Jordan Kralev ◽  
Ilcho Angelov
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.


1991 ◽  
Vol 113 (3) ◽  
pp. 487-493 ◽  
Author(s):  
S. D. Kim ◽  
H. S. Cho

The dynamic characteristics of a load-sensing hydraulic servo system are complex and highly nonlinear and, furthermore, the stability is critically deteriorated compared with that of the conventional hydraulic servo systems. Another property of the systems is that the setting value of the pump pressure-compensator considerably affects energy efficiency as well as control performance of the system. These features significantly add complexity to the controller design of the load-sensing systems. To guarantee satisfactory control performance and energy efficiency of the system an effective controller design method, therefore, needs to be developed. This paper considers a suboptimal PID control for the velocity control problem of a loadsensing hydraulic servo system. To show the effectiveness of the controller a series of simulations and experiments were performed. Both results show that the proposed suboptimal controller can produce satisfactory response characteristics and yield an effective trade-off between control performance and energy efficiency of the 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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