TY - JOUR
TI - In-depth analysis and optimization of electronic closed-loop control for proportional enlarged valves based on SimulationX
AU - Li Zhifeng
AU - Xu Xiaoming
AU - Shi Qing
AU - Hu Ya-Jun
JN - Thermal Science
PY - 2026
VL - 30
IS - 2
SP - 1159
EP - 1167
PT - Article
AB - This paper conducts an in-depth study on the electronic closed-loop control  characteristics of Valvistor valves (a type of proportionally enlarged  valve) by leveraging the SimulationX simulation platform. The  displacement-area relation-ship of a 25 mm diameter Valvistor valve was  accurately determined through the combination of experimental measurements  and theoretical analyses. A highly realistic SIMULATIONX model was  constructed based on actual parameters, taking into account oil compression,  leakage, viscous friction and other key factors. The  proportional-integral-derivative parameters were initially calculated using  the genetic algorithm and then refined through a series of fine-tuning  operations. The results show that the optimized  proportional-integral-derivative control significantly improves the dynamic  characteristics of the valve: in the step response of the main valve  displacement, the rising response time is reduced by 45 milliseconds, the  descending step response time is shortened by 20 milliseconds, and there is  almost no overshoot compared with the original valve. Considering the  variable pressure differences at the valve port in actual working  conditions, the parameters of the feed-forward controller were corrected.  Through iterative simulation of different pressure differences and  feed-forward gain values within the range of 0.5-2 MPa, a parameter curve of  the feed-forward controller was obtained, which ensures the valve's  displacement output meets actual operation requirements under different  pressure conditions. The research results provide important theoretical  support and practical guidance for optimizing the performance of Valvistor  valves and improving the control accuracy of hydraulic systems. Meanwhile,  the limitations of the research (lack of physical experiment verification  and insufficient universality) are pointed out, and future research  directions (conducting physical experiments, expanding applications in  complex systems, optimizing control algorithms) are clarified.
DO - 10.2298/TSCI2602159L
ER -